1.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 244 Paper: 105033 (2024)
Közlemény:34444849 Nyilvános Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Szakcikk (Folyóiratcikk) | Tudományos[34444849] [Nyilvános]
2.
HELIYON 10 : 15 pp. 1-15. Paper: e35045 , 15 p. (2024)
Közlemény:35151198 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Szakcikk (Folyóiratcikk) | Tudományos[35151198] [Egyeztetett]
3.
Gillis, Nicolas ✉ ; Rajkó, Róbert
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 44 : 1 pp. 27-52. , 26 p. (2023)
Közlemény:33589010 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 4 | Független: 4 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 1 | WoS/Scopus jelölt: 1 | DOI jelölt: 1
Szakcikk (Folyóiratcikk) | Tudományos[33589010] [Egyeztetett]
Nyilvános idéző összesen: 4, Független: 4, Függő: 0, Nem jelölt: 0
  1. Ellis Dorothy et al. Clustering single-cell multimodal omics data with jrSiCKLSNMF. (2023) FRONTIERS IN GENETICS 1664-8021 14
  2. Ellis Dorothy. Kullback-Leibler Non-negative Matrix Factorization Methods for the Analysis of Multimodal Single-Cell Omics Data. (2023)
  3. Kim Taejoon. Matrix factorization and prediction for high dimensional zero inflated co-occurrence count data via shared parameter alternating generalized linear regression with application in NLP. (2023)
  4. Budzinskiy Stanislav. Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors. (2023)
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Közlemény:34092242 Admin láttamozott Forrás Egyéb (Csak repozitóriumban hozzáférhető közlemény ) Tudományos
Csak repozitóriumban hozzáférhető közlemény (Egyéb) | Tudományos[34092242] [Admin láttamozott]
5.
Közlemény:34088704 Admin láttamozott Forrás Egyéb (Nem besorolt ) Tudományos
Nem besorolt (Egyéb) | Tudományos[34088704] [Admin láttamozott]
6.
Akbari Lakeh, Mahsa ; Abdollahi, Hamid ✉ ; Rajkó, Róbert ✉
ANALYTICA CHIMICA ACTA 1199 Paper: 339575 , 10 p. (2022)
Zárolt Közlemény:32646859 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 4 | Független: 1 | Függő: 3 | Nem jelölt: 0 | WoS jelölt: 2 | Scopus jelölt: 4 | WoS/Scopus jelölt: 4 | DOI jelölt: 4
Szakcikk (Folyóiratcikk) | Tudományos[32646859] [Egyeztetett]
Nyilvános idéző összesen: 4, Független: 1, Függő: 3, Nem jelölt: 0
  1. * Gemperline P.J. et al. Soft constraints in curve resolution problems. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 1-26
  2. Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  3. * Gillis Nicolas et al. Partial Identifiability for Nonnegative Matrix Factorization. (2023) SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 0895-4798 1095-7162 44 1 27-52
  4. * Vali Zade S. et al. Effects of different constraints on range of feasible solutions in self-modeling curve resolution methods. (2024) Megjelent: Data Handling in Science and Technology pp. 1-24
7.
Gillis, Nicolas ✉ ; Rajkó, Róbert
Zárolt Közlemény:32894534 Nyilvános Forrás Egyéb (Kutatási jelentés (közzétett) ) Tudományos
Kutatási jelentés (közzétett) (Egyéb) | Tudományos[32894534] [Nyilvános]
8.
Zárolt Közlemény:31749479 Admin láttamozott Forrás Egyéb (Kutatási jelentés (közzétett) ) Tudományos
Kutatási jelentés (közzétett) (Egyéb) | Tudományos[31749479] [Admin láttamozott]
9.
Karimvand, Somaiyeh Khodadadi ; Lakeh, Mahsa Akbari ; Tavakkoli, Elnaz ; Ghaffari, Mahdiyeh ; Omidikia, Nematollah ; Abad, Saeed Khalili Ali ; Rajkó, Róbert ; Abdollahi, Hamid ✉
JOURNAL OF CHEMOMETRICS 34 : 7 Paper: e3268 , 14 p. (2020)
Zárolt Közlemény:31376430 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 9 | Független: 3 | Függő: 6 | Nem jelölt: 0 | WoS jelölt: 7 | Scopus jelölt: 9 | WoS/Scopus jelölt: 9 | DOI jelölt: 9
Szakcikk (Folyóiratcikk) | Tudományos[31376430] [Egyeztetett]
Nyilvános idéző összesen: 9, Független: 3, Függő: 6, Nem jelölt: 0
  1. Trevorrow Paul. Celebrating the editorship of Professor Paul Gemperline. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  2. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
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  4. Mazivila S.J. et al. Three-way calibration using PARAFAC and MCR-ALS with previous synchronization of second-order chromatographic data through a new functional alignment of pure vectors for the quantification in the presence of retention time shifts in peak position and shape. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1146 98-108
  5. * Akbari Lakeh Mahsa et al. Predicting the uniqueness of single non-negative profiles estimated by multivariate curve resolution methods. (2022) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1199
  6. * Gemperline P.J. et al. Soft constraints in curve resolution problems. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 1-26
  7. * Abdollahi H. et al. Uniqueness in resolving multivariate chemical data. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 137-171
  8. * Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  9. * Ghaffari Mahdiyeh et al. Enhancing standardization through score-augmented projection-based calibration transfer. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 243
10.
MAGYAR KÉMIKUSOK LAPJA 75 : 11 pp. 323-330. , 8 p. (2020)
Zárolt Közlemény:31810109 Nyilvános Forrás Folyóiratcikk (Ismertetés ) Közérdekű
Ismertetés (Folyóiratcikk) | Közérdekű[31810109] [Nyilvános]
11.
N, Sushkov ; T, Labutin ; N, Lobus ; G, Galbács ; R, Rajkó
[s.l.], Nemzetközi : Russian Chemometrics Society (2020) 81 p. pp. 48-49. Paper: T23 , 2 p.
Zárolt Közlemény:31630527 Admin láttamozott Forrás Egyéb konferenciaközlemény (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Egyéb konferenciaközlemény) | Tudományos[31630527] [Admin láttamozott]
12.
Omidikia, N. ✉ ; Ghaffari, M. ; Rajkó, R. ✉
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 199 Paper: 103969 (2020)
Zárolt Közlemény:31189174 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 10 | Független: 6 | Függő: 4 | Nem jelölt: 0 | WoS jelölt: 8 | Scopus jelölt: 9 | WoS/Scopus jelölt: 9 | DOI jelölt: 10
Szakcikk (Folyóiratcikk) | Tudományos[31189174] [Egyeztetett]
Nyilvános idéző összesen: 10, Független: 6, Függő: 4, Nem jelölt: 0
  1. de Juan A. et al. Multivariate Curve Resolution: 50 years addressing the mixture analysis problem – A review. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1145 59-78
  2. Neymeyr Klaus et al. On the signal contribution function with respect to different norms. (2021) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 35 7-8
  3. Yamaguchi Yudai et al. Proposal of Edge-Preserving, Image Noise Reduction Filter for Using L2-Norm. (2021) Engineering Proceedings 2673-4591 11 1 p. 27
  4. Zhao M. et al. Robust clustering with sparse corruption via ℓ2,1, ℓ1 norm constraint and Laplacian regularization. (2021) EXPERT SYSTEMS WITH APPLICATIONS 0957-4174 1873-6793 186
  5. * Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  6. * Gillis Nicolas et al. Partial Identifiability for Nonnegative Matrix Factorization. (2023) SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 0895-4798 1095-7162 44 1 27-52
  7. Peng Tao et al. Quantitative differential phase contrast phase reconstruction for sparse samples. (2023) OPTICS AND LASERS IN ENGINEERING 0143-8166 1873-0302 163
  8. Giebelhaus R.T. et al. Region of interest selection for GC×GC–MS data using a pseudo fisher ratio moving window with connected components segmentation. (2023) JOURNAL OF CHROMATOGRAPHY OPEN 2772-3917 4
  9. * Schmidt Robert W. et al. A comparison of multivariate curve resolution with endmember extraction methods in hyperspectral Raman imaging. (2024) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 323
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13.
Omidikia, Nematollah ; Abdollahi, Hamid ; Kompany‐Zareh, Mohsen ; Rajkó, Róbert ✉
JOURNAL OF CHEMOMETRICS 34 : 3 Paper: e3161 , 17 p. (2020)
Zárolt Közlemény:30865343 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 3 | Független: 0 | Függő: 3 | Nem jelölt: 0 | WoS jelölt: 3 | Scopus jelölt: 3 | WoS/Scopus jelölt: 3 | DOI jelölt: 3
Szakcikk (Folyóiratcikk) | Tudományos[30865343] [Egyeztetett]
Nyilvános idéző összesen: 3, Független: 0, Függő: 3, Nem jelölt: 0
  1. * Olivieri Alejandro C. et al. Initialization effects in two-component second-order multivariate calibration with the extended bilinear model. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1125 169-176
  2. * Ghaffari Mahdiyeh et al. Joint selection of essential pixels and essential variables across hyperspectral images. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1141 36-46
  3. * Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
14.
Kutatási adat | Tudományos[31749456] [Admin láttamozott]
15.
Tavakkoli, E. ; Abdollahi, H. ; Rajkó, R. ✉
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 203 Paper: 104058 , 8 p. (2020)
Zárolt Közlemény:31354315 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 1 | Független: 1 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 1 | WoS/Scopus jelölt: 1 | DOI jelölt: 1
Szakcikk (Folyóiratcikk) | Tudományos[31354315] [Egyeztetett]
Nyilvános idéző összesen: 1, Független: 1, Függő: 0, Nem jelölt: 0
  1. Kałka Andrzej J. et al. A new ingenious combination of rank annihilation factor analysis (RAFA) and self-modeling to enhance the unambiguous resolution of multicomponent spectra. (2023) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 294
16.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 20 : 12 Paper: 3050 , 20 p. (2019)
Zárolt Közlemény:30744451 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 11 | Független: 9 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 11 | Scopus jelölt: 11 | WoS/Scopus jelölt: 11 | DOI jelölt: 11
Szakcikk (Folyóiratcikk) | Tudományos[30744451] [Egyeztetett]
Nyilvános idéző összesen: 11, Független: 9, Függő: 2, Nem jelölt: 0
  1. Hu WT et al. Chk1 Inhibition Ameliorates Alzheimer's Disease Pathogenesis and Cognitive Dysfunction Through CIP2A/PP2A Signaling. (2022) NEUROTHERAPEUTICS 1933-7213 1878-7479 19 2 570-591
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  3. * Borbély Emőke et al. Impact of Two Neuronal Sigma-1 Receptor Modulators, PRE084 and DMT, on Neurogenesis and Neuroinflammation in an Aβ1–42-Injected, Wild-Type Mouse Model of AD. (2022) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 23 5
  4. Razak Mahaman Yacoubou Abdoul et al. Moringa Oleifera Alleviates A beta Burden and Improves Synaptic Plasticity and Cognitive Impairments in APP/PS1 Mice. (2022) NUTRIENTS 2072-6643 14 20
  5. Chau Dennis Dik-Long et al. Amyloid precursor protein and its interacting proteins in neurodevelopment. (2023) BIOCHEMICAL SOCIETY TRANSACTIONS 0300-5127 1470-8752 51 4 1647-1659
  6. Jin Yi et al. A Nanodisc-Paved Biobridge Facilitates Stem Cell Membrane Fusogenicity for Intracerebral Shuttling and Bystander Effects. (2023) ADVANCED MATERIALS 0935-9648 1521-4095 35 40
  7. Mahaman Yacoubou Abdoul et al. Ferulic Acid Improves Synaptic Plasticity and Cognitive Impairments by Alleviating the PP2B/DARPP-32/PP1 Axis-Mediated STEP Increase and A beta Burden in Alzheimer's Disease. (2023) NEUROTHERAPEUTICS 1933-7213 1878-7479 20 4 1081-1108
  8. Volloch Vladimir et al. Next Generation Therapeutic Strategy for Treatment and Prevention of Alzheimer’s Disease and Aging-Associated Cognitive Decline: Transient, Once-in-a-Lifetime-Only Depletion of Intraneuronal Aβ (iAβ) by Its Targeted Degradation via Augmentation of Intra-iAβ-Cleaving Activities of BACE1 and/or BACE2. (2023) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 24 24
  9. Volloch Vladimir et al. The Amyloid Cascade Hypothesis 2.0 for Alzheimer's Disease and Aging-Associated Cognitive Decline: From Molecular Basis to Effective Therapy. (2023) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 24 15
  10. Volloch Vladimir et al. ACH2.0/E, the Consolidated Theory of Conventional and Unconventional Alzheimer's Disease: Origins, Progression, and Therapeutic Strategies. (2024) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 25 11
  11. Volloch V. et al. On the Inadequacy of the Current Transgenic Animal Models of Alzheimer’s Disease: The Path Forward. (2024) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 25 5
17.
JOURNAL OF MOLECULAR LIQUIDS 255 pp. 257-262. , 6 p. (2018)
Zárolt Közlemény:3337797 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 44 | Független: 41 | Függő: 3 | Nem jelölt: 0 | WoS jelölt: 41 | Scopus jelölt: 35 | WoS/Scopus jelölt: 42 | DOI jelölt: 43
Szakcikk (Folyóiratcikk) | Tudományos[3337797] [Egyeztetett]
Nyilvános idéző összesen: 44, Független: 41, Függő: 3, Nem jelölt: 0
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  36. Ruengvisesh Songsirin et al. Utilization of Piper betle L. Extract for Inactivating Foodborne Bacterial Biofilms on Pitted and Smooth Stainless Steel Surfaces. (2023) JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY 1017-7825 1738-8872 33 6 771-779
  37. Gorde Pratik Madhukar et al. Advancements in sustainable food packaging: A comprehensive review on utilization of nanomaterials, machine learning and deep learning. (2024) SUSTAINABLE CHEMISTRY AND PHARMACY 2352-5541 2352-5541 39
  38. Hou Fanyun et al. Antibacterial and antibiofilm properties of cinnamon essential oil on Pseudomonas tolaasii and application of potato starch/CEO active pads in preservation of mushroom ( Agaricus bisporus ). (2024) FOOD CONTROL 0956-7135 1873-7129 165
  39. Karami-Eshkaftaki Zahra et al. Coated composite paper with nano-chitosan/cinnamon essential oil-nanoemulsion containing grafted CNC@ZnO nanohybrid; synthesis, characterization and inhibitory activity on Escherichia coli biofilm developed on grey zucchini. (2024) INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 0141-8130 1879-0003 258
  40. * Vidács Anita et al. Eradication of multiple-species biofilms from food industrial and domestic surfaces using essential oils. (2024) FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL 1082-0132 1532-1738 30 4 361-369
  41. * Vidács Anita et al. Essential Oil Efficacy Impaired by Food Residues in Food Pathogen Adhesion. (2024) ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2193-567X 2191-4281 1319-8025 49 1 107-119
  42. Mohammed Hamdoon A. et al. Essential oils pharmacological activity: Chemical markers, biogenesis, plant sources, and commercial products. (2024) PROCESS BIOCHEMISTRY 1359-5113 1873-3298 144 112-132
  43. Khan M. D. et al. Influence of Pretreatment Methods for Coarse Recycled Aggregates on the Performance of Alkali-Activated Concrete. (2024) ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2193-567X 2191-4281 1319-8025 49 1 107-119
  44. Mechmechani Samah et al. Study of the Resistance of Staphylococcus aureus Biofilm, Biofilm-Detached Cells, and Planktonic Cells to Microencapsulated Carvacrol Used Alone or Combined with Low-pH Treatment. (2024) INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 1661-6596 1422-0067 25 13
18.
Hódmezővásárhely, Magyarország : University of Szeged Faculty of Agriculture (2018) 118 p. pp. 66-67. , 2 p.
Zárolt Közlemény:31273242 Admin láttamozott Forrás Egyéb konferenciaközlemény (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Egyéb konferenciaközlemény) | Tudományos[31273242] [Admin láttamozott]
19.
Omidikia, N ; Beyramysoltan, S ; Mohammad, Jafari J ; Tavakkoli, E ; Akbari, Lakeh M ; Alinaghi, M ; Ghaffari, M ; Khodadadi, Karimvand S ; Rajkó, R ; Abdollahi, H ✉
JOURNAL OF CHEMOMETRICS 32 : 12 Paper: e2975 , 15 p. (2018)
Zárolt Közlemény:3336112 Admin láttamozott Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 21 | Független: 8 | Függő: 13 | Nem jelölt: 0 | WoS jelölt: 20 | Scopus jelölt: 21 | WoS/Scopus jelölt: 21 | DOI jelölt: 21
Szakcikk (Folyóiratcikk) | Tudományos[3336112] [Admin láttamozott]
Nyilvános idéző összesen: 21, Független: 8, Függő: 13, Nem jelölt: 0
  1. * Akbari Lakeh M et al. Known-value constraint in multivariate curve resolution. (2018) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1030 42-51
  2. * Ghaffari Mahdiyeh et al. A conceptual view to the area correlation constraint in multivariate curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 189 121-129
  3. * Ghaffari Mandiyeh et al. Multi-excitation hyperspectral autofluorescence imaging for the exploration of biological samples. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1062 47-59
  4. Kazmierczak Nathanael P. et al. Properly handling negative values in the calculation of binding constants by physicochemical modeling of spectroscopic titration data. (2019) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 33 11
  5. * Karimvand Somaiyeh Khodadadi et al. A general rule for uniqueness in self‐modeling curve resolution methods. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  6. Bayat M. et al. Application of the area correlation constraint in the MCR-ALS quantitative analysis of complex mixture samples. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1113 52-65
  7. * Olivieri Alejandro C. et al. Initialization effects in two-component second-order multivariate calibration with the extended bilinear model. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1125 169-176
  8. * Tavakkoli E. et al. New duality based generalized rank annihilation algorithm for determining analyte concentration with realistically estimated error level for practical data sets. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  9. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  10. Maturi M. et al. An application of multivariate data analysis to photoacoustic imaging for the spectral unmixing of gold nanorods in biological tissues. (2021) NANOMATERIALS 2079-4991 2079-4991 11 1 1-14
  11. * Karimvand Somaiyeh Khodadadi et al. A simple self modelling curve resolution (SMCR) method for two-component systems. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1154
  12. Sagar A. et al. Structure and thermodynamics of transient protein-protein complexes by chemometric decomposition of SAXS datasets. (2021) STRUCTURE 0969-2126 1878-4186 29 9 1074-1090.e4
  13. * Beyramysoltan Samira et al. Workflow for the Supervised Learning of Chemical Data: Efficient Data Reduction-Multivariate Curve Resolution (EDR-MCR). (2021) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 93 12 5020-5027
  14. Mansoldo F.R.P. et al. An innovative spectroscopic approach for qualitative and quantitative evaluation of Mb-CO from myoglobin carbonylation reaction through chemometrics methods. (2022) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 267
  15. Kim M. et al. Study on melting and crystallization of PHBHx thin films using IR and 2D correlation spectroscopy. (2022) BULLETIN OF THE KOREAN CHEMICAL SOCIETY 0253-2964 1229-5949 43 1 11-16
  16. Rebetez G. et al. What Drives the Kinetics and Doping Level in the Electrochemical Reactions of PEDOT:PSS?. (2022) ADVANCED FUNCTIONAL MATERIALS 1616-301X 1616-3028 32 5
  17. * Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  18. * Gillis Nicolas et al. Partial Identifiability for Nonnegative Matrix Factorization. (2023) SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 0895-4798 1095-7162 44 1 27-52
  19. * Schmidt Robert W. et al. A comparison of multivariate curve resolution with endmember extraction methods in hyperspectral Raman imaging. (2024) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 323
  20. * Vali Zade S. et al. Effects of different constraints on range of feasible solutions in self-modeling curve resolution methods. (2024) Megjelent: Data Handling in Science and Technology pp. 1-24
  21. * Rajkó R.. On problematic practice of using normalization in self-modeling/multivariate curve resolution (S/MCR). (2024) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 244
20.
Tavakkoli, E ; Rajkó, R ✉ ; Abdollahi, H
TALANTA 184 pp. 557-564. , 8 p. (2018)
Zárolt Közlemény:3371788 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 8 | Független: 3 | Függő: 5 | Nem jelölt: 0 | WoS jelölt: 7 | Scopus jelölt: 8 | WoS/Scopus jelölt: 8 | DOI jelölt: 8
Szakcikk (Folyóiratcikk) | Tudományos[3371788] [Egyeztetett]
Nyilvános idéző összesen: 8, Független: 3, Függő: 5, Nem jelölt: 0
  1. * Ghaffari M et al. Strategy To Obtain Accurate Analytical Solutions in Second-Order Multivariate Calibration with Curve Resolution Methods. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 16 9725-9733
  2. * Ghaffari Mahdiyeh et al. A conceptual view to the area correlation constraint in multivariate curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 189 121-129
  3. * Karimvand Somaiyeh Khodadadi et al. A general rule for uniqueness in self‐modeling curve resolution methods. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  4. * Tavakkoli E. et al. New duality based generalized rank annihilation algorithm for determining analyte concentration with realistically estimated error level for practical data sets. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  5. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  6. Sushkov Nikolai Ivanovich et al. A novel approach for discovering correlations between elemental and molecular composition using laser-based spectroscopic techniques. (2022) ANALYST 0003-2654 1364-5528 147 7 3248-3257
  7. Sushkov Nikolai I. et al. Towards Automated Classification of Zooplankton Using Combination of Laser Spectral Techniques and Advanced Chemometrics. (2022) SENSORS 1424-8220 1424-8220 22 21
  8. * Abdollahi H. et al. Uniqueness in resolving multivariate chemical data. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 137-171
21.
Lakeh, MA ; Rajko, R ; Abdollahi, H
ANALYTICAL CHEMISTRY 89 : 4 pp. 2259-2266. , 8 p. (2017)
Zárolt Közlemény:3241582 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 14 | Független: 3 | Függő: 11 | Nem jelölt: 0 | WoS jelölt: 13 | Scopus jelölt: 14 | WoS/Scopus jelölt: 14 | DOI jelölt: 14
Szakcikk (Folyóiratcikk) | Tudományos[3241582] [Egyeztetett]
Nyilvános idéző összesen: 14, Független: 3, Függő: 11, Nem jelölt: 0
  1. * Tavakkoli E et al. Duality based direct resolution of unique profiles using zero concentration region information. (2018) TALANTA 0039-9140 1873-3573 184 557-564
  2. * Akbari Lakeh M et al. Known-value constraint in multivariate curve resolution. (2018) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1030 42-51
  3. Pellegrino Vidal RB et al. Quantifying the Prediction Error in Analytical Multivariate Curve Resolution Studies of Multicomponent Systems. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 11 7040-7047
  4. * Zade Somaye Vali et al. Introducing the monotonicity constraint as an effective chemistry-based condition in self-modeling curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 190 22-32
  5. * Karimvand Somaiyeh Khodadadi et al. A general rule for uniqueness in self‐modeling curve resolution methods. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  6. * Alinaghi Masoumeh et al. Investigation of the unique solutions in bilinear decomposition of multiset chemical data. (2020) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 155
  7. * Tavakkoli E. et al. New duality based generalized rank annihilation algorithm for determining analyte concentration with realistically estimated error level for practical data sets. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  8. * Lakeh Mahsa Akbari et al. Soft known-value constraints for improved quantitation in multivariate curve resolution. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1105 64-73
  9. * Zade Somaye Vali et al. Characterization of the unimodality constraint as an effective chemistry-based condition in resolving of chemical processes data. (2021) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 160
  10. Sawall Mathias et al. On the area of feasible solutions for rank-deficient problems: I. Introduction of a generalized concept. (2021) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 35 3
  11. * Hashemi-Nasab Fatemeh Sadat et al. Mutual information map as a new way for exploring the independence of chemically meaningful solutions in two-component analytical data. (2022) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1227
  12. * Akbari Lakeh Mahsa et al. Predicting the uniqueness of single non-negative profiles estimated by multivariate curve resolution methods. (2022) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1199
  13. * Abdollahi H. et al. Uniqueness in resolving multivariate chemical data. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 137-171
  14. Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
22.
Szeged, Magyarország : Szegedi Tudományegyetem Szervetlen és Analitikai Kémiai Tanszék (2017) 533 p. pp. 463-468. , 6 p.
Zárolt Közlemény:31273251 Nyilvános Forrás Könyvrészlet (Konferenciaközlemény ) Tudományos
Konferenciaközlemény (Könyvrészlet) | Tudományos[31273251] [Nyilvános]
23.
JELENKORI TÁRSADALMI ÉS GAZDASÁGI FOLYAMATOK 12 : 4 pp. 73-79. , 7 p. (2017)
Zárolt Közlemény:3376747 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Szakcikk (Folyóiratcikk) | Tudományos[3376747] [Egyeztetett]
24.
ANALECTA TECHNICA SZEGEDINENSIA 11 : 2 pp. 36-40. , 5 p. (2017)
Zárolt Közlemény:3376744 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Szakcikk (Folyóiratcikk) | Tudományos[3376744] [Egyeztetett]
25.
Omidikia, N ; Kompany-Zareh, M ; Rajkó, R ; Abdollahi, H
JOURNAL OF CHEMOMETRICS 31 : 6 Paper: e2891 , 13 p. (2017)
Zárolt Közlemény:3242437 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 2 | Független: 1 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 2 | Scopus jelölt: 1 | WoS/Scopus jelölt: 2 | DOI jelölt: 2
Szakcikk (Folyóiratcikk) | Tudományos[3242437] [Egyeztetett]
Nyilvános idéző összesen: 2, Független: 1, Függő: 1, Nem jelölt: 0
  1. * Ghaffari M et al. Duality based interpretation of uniqueness in the trilinear decompositions. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 177 17-25
  2. Zaripour Mitra et al. Application of ultrasonic-assisted inclusion complex formation with alpha-cyclodextrin for simultaneous spectrophotometric determination of gallic acid and vanillic acids in fruit samples. (2019) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 222
26.
Rajko, R ✉ ; Omidikia, N ; Abdollahi, H ; Kompany-Zareh, M
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 160 pp. 91-98. , 8 p. (2017)
Zárolt Közlemény:3241588 Admin láttamozott Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 11 | Független: 7 | Függő: 4 | Nem jelölt: 0 | WoS jelölt: 9 | Scopus jelölt: 7 | WoS/Scopus jelölt: 10 | DOI jelölt: 11
Szakcikk (Folyóiratcikk) | Tudományos[3241588] [Admin láttamozott]
Nyilvános idéző összesen: 11, Független: 7, Függő: 4, Nem jelölt: 0
  1. Han Shijie et al. Chemometrics-based identification, characterization, and modeling of the intermolecular interaction between human osteosarcoma SH3 domain and its peptide ligands. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 6
  2. * Omidikia N et al. On rotational ambiguity in parallel profiles with linear dependencies. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 6
  3. Xia A et al. Distinction of leisure dried tofu brands by using chemical pattern recognition combined with low field nuclear magnetic resonance. (2018) TRANSACTIONS OF THE CHINESE SOCIETY OF AGRICULTURAL ENGINEERING / NONGYE GONGCHENG XUEBAO 1002-6819 34 10 282-288
  4. * Ghaffari M et al. Duality based interpretation of uniqueness in the trilinear decompositions. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 177 17-25
  5. Pellegrino Vidal Rocio B. et al. A New Parameter for Measuring the Prediction Uncertainty Produced by Rotational Ambiguity in Second-Order Calibration with Multivariate Curve Resolution. (2020) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 92 13 9118-9123
  6. Gan Feng et al. Hard modeling of titration curve for absolute analysis. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  7. Gan Feng et al. Some Considerations on the Mathematization of Quantitative Analysis. (2020) DAXUE HUAXUE / UNIVERSITY CHEMISTRY 1000-8438 36 2
  8. * Omidikia Nematollah et al. Trilinear self‐modeling curve resolution using Borgen‐Rajkó plot. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 3
  9. Catena S. et al. Unequivocal identification and quantification of PAHs content in ternary synthetic mixtures and in smoked tuna by means of excitation-emission fluorescence spectroscopy coupled with PARAFAC. (2020) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 154
  10. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  11. * Schmidt Robert W. et al. A comparison of multivariate curve resolution with endmember extraction methods in hyperspectral Raman imaging. (2024) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 323
27.
In: Héberger, Károly (szerk.) Conferentia Chemometrica 2017
Budapest, Magyarország : MTA Természettudományi Kutatóközpont (2017) p. L23 Paper: ISBN 978-963-7067-31-0 , 1 p.
Zárolt Közlemény:3283650 Admin láttamozott Forrás Könyvrészlet (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Könyvrészlet) | Tudományos[3283650] [Admin láttamozott]
28.
Topics in Chemometrics TIC is a Gordon-type conference with emphasis on subject oriented presentations and discussions. Each session will be introduced by leading researchers, followed by presentations of variable length on the subject of the session., There will be time for in-depth exploration of the field, always with emphasis on practical application as well as attempts to explore the future., Megjelenés: Ausztrália,
Zárolt Közlemény:3283645 Admin láttamozott Forrás Egyéb (Nem besorolt ) Tudományos
Nem besorolt (Egyéb) | Tudományos[3283645] [Admin láttamozott]
29.
In: Department of Public Health Faculty of Medicine University of Szeged (szerk.) 19th DKMT Euroregional Conference on Environment and Health : Program and abstracts
Szeged, Magyarország : University of Szeged, Faculty of Medicine (2017) 65 p. p. 33
Zárolt Közlemény:3237391 Admin láttamozott Forrás Könyvrészlet (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Könyvrészlet) | Tudományos[3237391] [Admin láttamozott]
30.
Azadeh, Golshan ; Hamid, Abdollahi ; Samira, Beyramysoltan ; Marcel, Maeder ; Klaus, Neymeyr ; Robert, Rajkó ; Mathias, Sawall ; Romá, Tauler
ANALYTICA CHIMICA ACTA 911 pp. 1-13. , 13 p. (2016)
Zárolt Közlemény:2992419 Hitelesített Forrás Idéző Folyóiratcikk (Összefoglaló cikk ) Tudományos
Nyilvános idéző összesen: 123 | Független: 59 | Függő: 64 | Nem jelölt: 0 | WoS jelölt: 111 | Scopus jelölt: 119 | WoS/Scopus jelölt: 123 | DOI jelölt: 121
Összefoglaló cikk (Folyóiratcikk) | Tudományos[2992419] [Hitelesített]
Nyilvános idéző összesen: 123, Független: 59, Függő: 64, Nem jelölt: 0
  1. * Malik A. et al. Ambiguities in Multivariate Curve Resolution. (2016) Megjelent: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging pp. 101-133
  2. * Omidikia N et al. Analytical solution and meaning of feasible regions in two-component three-way arrays. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 939 42-53
  3. Manouchehri F et al. Experimental, computational and chemometrics studies of BSA-vitamin B6 interaction by UV–Vis, FT-IR, fluorescence spectroscopy, molecular dynamics simulation and hard-soft modeling methods. (2016) BIOORGANIC CHEMISTRY 0045-2068 1090-2120 68 124-136
  4. Sinanian Melanie M et al. Multivariate Curve Resolution-Alternating Least Squares Analysis of High-Resolution Liquid Chromatography-Mass Spectrometry Data. (2016) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 88 22 11092-11099
  5. Witek Lukasz J et al. A novel algorithm for resolution of three-component mixtures of fluorophores by fluorescence quenching. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 160 77-90
  6. * Sawall Mathias et al. A ray casting method for the computation of the area of feasible solutions for multicomponent systems: Theory, applications and FACPACK-implementation. (2017) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 960 Barcelona 40-52
  7. * Schroeder Henning et al. Comparative multivariate curve resolution study in the area of feasible solutions. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 163 55-63
  8. * Dadashi Mahsa et al. Error propagation along the different regions of multivariate curve resolution feasible solutions. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 162 203-213
  9. * Lakeh MA et al. Local Rank Deficiency Caused Problems in Analyzing Chemical Data. (2017) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 89 4 2259-2266
  10. Monakhova Yulia B et al. Multicomponent quantitative spectroscopic analysis without reference substances based on ICA modelling. (2017) ANALYTICAL AND BIOANALYTICAL CHEMISTRY 1618-2642 1618-2650 409 13 3319-3327
  11. Skvortsov Alexey N. Multivariate resolution of flattened absorption spectra with weighted least squares; weight selection and rotational ambiguity. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 8
  12. * Rajko R et al. On uniqueness of the non-negative decomposition of two- and three-component three-way data arrays. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 160 91-98
  13. Balcerowska-Czerniak Grazyna et al. Score-based quantitative principal component analysis with application to the study of active pharmaceutical ingredients based on attenuated total reflection fourier-transform-infrared spectra. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 2
  14. * Sawall Mathias et al. Simultaneous construction of dual Borgen plots. I: The case of noise-free data. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 12
  15. * Olivieri Alejandro C et al. The effect of data matrix augmentation and constraints in extended multivariate curve resolution-alternating least squares. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 3
  16. * Sawall Mathias et al. A chemometric study in the area of feasible solution of an acid-base titration of N-methyl-6-oxyquinolone. (2018) RSC ADVANCES 2046-2069 2046-2069 8 18 9922-9932
  17. Hugelier Siewert et al. Application of a sparseness constraint in multivariate curve resolution - Alternating least squares. (2018) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1000 100-108
  18. Kanginejad Atefeh et al. Chemometrics advances on the challenges of the gas chromatography-mass spectrometry metabolomics data: a review. (2018) JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 1735-207X 1735-2428 15 12 2733-2745
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Masoumeh, Alinaghi ; Róbert, Rajkó ; Hamid, Abdollahi ✉
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 153 pp. 22-32. , 11 p. (2016)
Zárolt Közlemény:3022879 Nyilvános Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 20 | Független: 12 | Függő: 8 | Nem jelölt: 0 | WoS jelölt: 18 | Scopus jelölt: 20 | WoS/Scopus jelölt: 20 | DOI jelölt: 20
Szakcikk (Folyóiratcikk) | Tudományos[3022879] [Nyilvános]
Nyilvános idéző összesen: 20, Független: 12, Függő: 8, Nem jelölt: 0
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32.
Szeged, Magyarország : University of Szeged, Department of Inorganic and Analytical Chemistry (2016) 438 p. pp. 385-389. , 5 p.
Zárolt Közlemény:31273248 Admin láttamozott Forrás Könyvrészlet (Konferenciaközlemény ) Tudományos
Konferenciaközlemény (Könyvrészlet) | Tudományos[31273248] [Admin láttamozott]
33.
Omidikia, N ; Abdollahi, H ; Kompany-Zareh, M ; Rajko, R ✉
ANALYTICA CHIMICA ACTA 939 pp. 42-53. , 12 p. (2016)
Zárolt Közlemény:3179200 Admin láttamozott Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 6 | Független: 2 | Függő: 4 | Nem jelölt: 0 | WoS jelölt: 6 | Scopus jelölt: 5 | WoS/Scopus jelölt: 6 | DOI jelölt: 6
Szakcikk (Folyóiratcikk) | Tudományos[3179200] [Admin láttamozott]
Nyilvános idéző összesen: 6, Független: 2, Függő: 4, Nem jelölt: 0
  1. Han Shijie et al. Chemometrics-based identification, characterization, and modeling of the intermolecular interaction between human osteosarcoma SH3 domain and its peptide ligands. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 6
  2. * Omidikia N et al. On rotational ambiguity in parallel profiles with linear dependencies. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 6
  3. * Ghaffari M et al. Strategy To Obtain Accurate Analytical Solutions in Second-Order Multivariate Calibration with Curve Resolution Methods. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 16 9725-9733
  4. Pellegrino Vidal Rocio B. et al. A New Parameter for Measuring the Prediction Uncertainty Produced by Rotational Ambiguity in Second-Order Calibration with Multivariate Curve Resolution. (2020) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 92 13 9118-9123
  5. * Omidikia N. et al. Sparse non-negative multivariate curve resolution: L0, L1, or L2 norms?. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 199
  6. * Omidikia Nematollah et al. Trilinear self‐modeling curve resolution using Borgen‐Rajkó plot. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 3
34.
Péter, Erdélyi ; Róbert, Rajkó ✉
JOURNAL OF CHEMICAL EDUCATION 93 : 2 pp. 391-393. , 3 p. (2016)
Zárolt Közlemény:2981498 Admin láttamozott Forrás Folyóiratcikk (Rövid közlemény ) Tudományos
Nyilvános idéző összesen: 4 | Független: 4 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 3 | Scopus jelölt: 3 | WoS/Scopus jelölt: 4 | DOI jelölt: 2
Rövid közlemény (Folyóiratcikk) | Tudományos[2981498] [Admin láttamozott]
Nyilvános idéző összesen: 4, Független: 4, Függő: 0, Nem jelölt: 0
  1. Kresta Suzanne et al. Psychrometric charts in color: An example of active learning for chemical engineering students and faculty members. (2018) EDUCATION FOR CHEMICAL ENGINEERS 1749-7728 1749-7728 22 14-19
  2. Xie L. et al. Warehouse workforce preparedness in the wake of industry 4.0: A systematic literature review. (2020) Megjelent: 2020 ASEE Virtual Annual Conference Content Access Proceedings
  3. Yang Shihai et al. Heat Balance Calculation and Energy Efficiency Analysis for Building Clusters Based on Psychrometric Chart. (2021) SENSORS 1424-8220 21 22
  4. Berman Ega T. et al. THE USE OF PSYCHROMETRIC ANALYSIS KIT FORLEARNING AIR CONDITIONING PROCESS IN VOCATIONAL EDUCATION. (2021) Journal of Engineering Science and Technology 1823-4690 16 1 470-481
35.
In: Filep, Ágnes; Mucsiné, Égerházi Lilla (szerk.) A XII. Magyar Aeroszol Konferencia előadás-kivonatai
Szeged, Magyarország : Szegedi Tudományegyetem (SZTE) (2015) 96 p. pp. 86-87. , 2 p.
Zárolt Közlemény:2877634 Egyeztetett Forrás Könyvrészlet (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Könyvrészlet) | Tudományos[2877634] [Egyeztetett]
36.
Robert, Rajko ✉ ; Hamid, Abdollahi ; Samira, Beyramysoltan ; Nematollah, Omidikia
ANALYTICA CHIMICA ACTA 855 pp. 21-33. , 13 p. (2015)
Zárolt Közlemény:2790598 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 48 | Független: 20 | Függő: 28 | Nem jelölt: 0 | WoS jelölt: 44 | Scopus jelölt: 46 | WoS/Scopus jelölt: 47 | DOI jelölt: 47
Szakcikk (Folyóiratcikk) | Tudományos[2790598] [Egyeztetett]
Nyilvános idéző összesen: 48, Független: 20, Függő: 28, Nem jelölt: 0
  1. * Abdollahi Hamid et al. An Investigation on Meaning and Reliability of Local Rank Constraint in Self-Modeling Curve Resolution of Chemical Data. (2015) Megjelent: IRANIAN BIENNIAL CHEMOMETRICS SEMINAR (Volume 5, 25-26 NOVEMBER 2015) pp. 60-62
  2. Vandeginste Bernard G. Chemical and mathematical resolution. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 149 118-126
  3. * Róbert Rajkó et al. Fitting-free curve resolution of spectroscopic data: chemometric and physical chemical viewpoints. (2015) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 888 19-26
  4. Juerss Annekathrin et al. On generalized Borgen plots. I: From convex to affine combinations and applications to spectral data In memory of Odd S. Borgen (1929-1994). (2015) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 29 7 420-433
  5. * Sawall Mathias et al. Soft constraints for reducing the intrinsic rotational ambiguity of the area of feasible solutions. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 149 140-150
  6. * Omidikia N et al. Analytical solution and meaning of feasible regions in two-component three-way arrays. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 939 42-53
  7. * Rahimdoust Mojdehi N et al. Investigating the effect of flexible constraints on the accuracy of self-modeling curve resolution methods in the presence of perturbations. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 5 252-267
  8. Neymeyr Klaus et al. On an SVD-free approach to the complementarity and coupling theory. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 1 30-36
  9. Juerss Annekathrin et al. On generalized Borgen plots II: The line-moving algorithm and its numerical implementation. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 11 636-650
  10. Sawall M. et al. On the Analysis and Computation of the Area of Feasible Solutions for Two-, Three-, and Four-Component Systems. (2016) Megjelent: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging pp. 135-184
  11. Yu Qiang et al. Accurate detection of user interest data in cloud computing environment. (2017) CLUSTER COMPUTING 1386-7857 1573-7543 NA p. NA
  12. * Dadashi Mahsa et al. Error propagation along the different regions of multivariate curve resolution feasible solutions. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 162 203-213
  13. * Rajko R et al. On uniqueness of the non-negative decomposition of two- and three-component three-way data arrays. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 160 91-98
  14. * Tavakkoli E et al. Duality based direct resolution of unique profiles using zero concentration region information. (2018) TALANTA 0039-9140 1873-3573 184 557-564
  15. * Ghaffari M et al. Duality based interpretation of uniqueness in the trilinear decompositions. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 177 17-25
  16. Mani-Varnosfaderani Ahmad et al. Exploring the effects of sparsity constraint on the ranges of feasible solutions for resolution of GC-MS data. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 173 30-40
  17. * Akbari Lakeh M et al. Known-value constraint in multivariate curve resolution. (2018) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1030 42-51
  18. Sawall Mathias et al. Simultaneous construction of dual Borgen plots. II: Algorithmic enhancement for applications to noisy spectral data. (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 6
  19. * Ghaffari M et al. Strategy To Obtain Accurate Analytical Solutions in Second-Order Multivariate Calibration with Curve Resolution Methods. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 16 9725-9733
  20. Bertinetto CG et al. Systematic comparison and potential combination between multivariate curve resolution–alternating least squares (MCR-ALS) and band-target entropy minimization (BTEM). (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 6
  21. Guo Ran et al. A novel systematic absence of cross peaks-based 2D-COS approach for bilinear data. (2019) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 220
  22. Guo Ran et al. A preliminary study on constructing a high-dimensional asynchronous spectrum to analyze bilinear data. (2019) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 216 76-84
  23. Pellegrino Vidal Rocio B. et al. Contribution to second-order calibration based on multivariate curve resolution with and without previous chromatographic synchronization. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1078 8-15
  24. * Ghaffari Mandiyeh et al. Effect of image processing constraints on the extent of rotational ambiguity in MCR-ALS of hyperspectral images. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1052 27-36
  25. * Ghaffari Mandiyeh et al. Multi-excitation hyperspectral autofluorescence imaging for the exploration of biological samples. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1062 47-59
  26. * Karimvand Somaiyeh Khodadadi et al. A general rule for uniqueness in self‐modeling curve resolution methods. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  27. * Alinaghi Masoumeh et al. Investigation of the unique solutions in bilinear decomposition of multiset chemical data. (2020) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 155
  28. Sawall Mathias et al. Multivariate curve resolution methods and the design of experiments. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 2
  29. * Tavakkoli E. et al. New duality based generalized rank annihilation algorithm for determining analyte concentration with realistically estimated error level for practical data sets. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  30. Alcaraz Mirta R. et al. On second-order calibration based on multivariate curve resolution in the presence of highly overlapped profiles. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1096 53-60
  31. Guo Ran et al. Sample-Sample Correlation Asynchronous Spectroscopic Method Coupled with Multivariate Curve Resolution-Alternating Least Squares To Analyze Challenging Bilinear Data. (2020) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 92 1 1477-1484
  32. * Lakeh Mahsa Akbari et al. Soft known-value constraints for improved quantitation in multivariate curve resolution. (2020) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1105 64-73
  33. * Omidikia N. et al. Sparse non-negative multivariate curve resolution: L0, L1, or L2 norms?. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 199
  34. * Omidikia Nematollah et al. Trilinear self‐modeling curve resolution using Borgen‐Rajkó plot. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 3
  35. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  36. Chiappini Fabricio A. et al. Interference-free calibration with first-order instrumental data and multivariate curve resolution. When and why. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1161
  37. Mazivila S.J. et al. Three-way calibration using PARAFAC and MCR-ALS with previous synchronization of second-order chromatographic data through a new functional alignment of pure vectors for the quantification in the presence of retention time shifts in peak position and shape. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1146 98-108
  38. * Beyramysoltan Samira et al. Workflow for the Supervised Learning of Chemical Data: Efficient Data Reduction-Multivariate Curve Resolution (EDR-MCR). (2021) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 93 12 5020-5027
  39. * Zade Somaye Vali et al. Data point importance: Information ranking in multivariate data. (2022) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X
  40. * Akbari Lakeh Mahsa et al. Predicting the uniqueness of single non-negative profiles estimated by multivariate curve resolution methods. (2022) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1199
  41. Li Kaili et al. Random swapping, an effective and efficient way to boost the intensities of cross peaks in a 2D asynchronous spectrum. (2022) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 272
  42. Gemperline P.J. et al. Soft constraints in curve resolution problems. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 1-26
  43. * Omidikia Nematollah. The effect of multilinear data fusion on the accuracy of multivariate curve resolution outputs. (2022) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1227
  44. * Abdollahi H. et al. Uniqueness in resolving multivariate chemical data. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 137-171
  45. * Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  46. * Gillis Nicolas et al. Partial Identifiability for Nonnegative Matrix Factorization. (2023) SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 0895-4798 1095-7162 44 1 27-52
  47. * Vali Zade S. et al. Effects of different constraints on range of feasible solutions in self-modeling curve resolution methods. (2024) Megjelent: Data Handling in Science and Technology pp. 1-24
  48. * Zade Somaye Vali et al. Unveiling the oxidative degradation profiles of vegetable oils under thermal stress via Raman spectroscopy and machine learning methods. (2024) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 204
37.
Róbert, Rajkó ✉ ; Samira, Beyramysoltan ; Hamid, Abdollahi ; János, Eőri ; Gábor, Pongor ✉
ANALYTICA CHIMICA ACTA 888 pp. 19-26. , 8 p. (2015)
Zárolt Közlemény:2927392 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 2 | Független: 0 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 2 | Scopus jelölt: 2 | WoS/Scopus jelölt: 2 | DOI jelölt: 2
Szakcikk (Folyóiratcikk) | Tudományos[2927392] [Egyeztetett]
Nyilvános idéző összesen: 2, Független: 0, Függő: 2, Nem jelölt: 0
  1. * Eőri J et al. Non-normalized version of the Direct Inversion in the Spectral Subspace method. A new formulation of the method without Lagrangian. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 173 65-72
  2. * Beyramysoltan Samira et al. Workflow for the Supervised Learning of Chemical Data: Efficient Data Reduction-Multivariate Curve Resolution (EDR-MCR). (2021) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 93 12 5020-5027
38.
SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY 94-95 pp. 48-57. , 10 p. (2014)
Zárolt Közlemény:2547081 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 35 | Független: 26 | Függő: 8 | Nem jelölt: 1 | WoS jelölt: 27 | Scopus jelölt: 30 | WoS/Scopus jelölt: 33 | DOI jelölt: 29
Szakcikk (Folyóiratcikk) | Tudományos[2547081] [Egyeztetett]
Nyilvános idéző összesen: 35, Független: 26, Függő: 8, Nem jelölt: 1
  1. Fabianska E et al. Document examinations over the last five years. (2014) Z ZAGADNIEN NAUK SADOWYCH 1230-7483 100 271-281
  2. * Galbács G. A critical review of recent progress in analytical laser-induced breakdown spectroscopy. (2015) ANALYTICAL AND BIOANALYTICAL CHEMISTRY 1618-2642 1618-2650 407 25 7537-7562
  3. Carter S et al. Atomic spectrometry update. Review of advances in the analysis of metals, chemicals and functional materials. (2015) JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY 0267-9477 1364-5544 30 11 2249-2294
  4. Gonzaga Fabiano Barbieri et al. Discrimination between authentic and false tax stamps from liquor bottles using laser-induced breakdown spectroscopy and chemometrics. (2015) SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY 0584-8547 1873-3565 109 24-30
  5. Subedi Kiran. Elemental analysis of printing inks using tandem laserinduced breakdown spectroscopy and laser ablation inductively coupled plasma mass spectrometry. (2015)
  6. K Subedi. Elemental Analysis of Printing Inks Using Tandem Laser-Induced Breakdown Spectroscopy and Laser Ablation Inductively Coupled Plasma Mass Spectrometry. (2015)
  7. Subedi K et al. Forensic analysis of printing inks using tandem laser induced breakdown spectroscopy and laser ablation inductively coupled plasma mass spectrometry. (2015) SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY 0584-8547 1873-3565 103-104 76-83
  8. Krol Malgorzata et al. Analysis of red inks by micellar electrokinetic capillary chromatography with laser-induced fluorescence detection. (2016) ELECTROPHORESIS 0173-0835 1522-2683 37 2 372-380
  9. * Anikó Metzinger. Development of Analytical Methods for Testing Libs of Liquid and Solid Samples. (2016)
  10. Corzo Ruthmara et al. Evaluation of the Forensic Utility of Scanning Electron Microscopy-Energy Dispersive Spectroscopy and Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry for Printing Ink Examinations. (2016) JOURNAL OF FORENSIC SCIENCES 0022-1198 1556-4029 61 3 725-734
  11. * Metzinger A et al. Qualitative Discrimination Analysis of Coals Based on Their Laser-Induced Breakdown Spectra. (2016) ENERGY AND FUELS 0887-0624 1520-5029 30 12 10306-10313
  12. Verma Neha et al. Analysis of laser printer and photocopier toners by spectral properties and chemometrics. (2018) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 196 40-48
  13. Rzecki Krzysztof et al. Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS. (2018) SENSORS 1424-8220 1424-8220 18 11
  14. Król M. et al. Examination of Polish Identity Documents by Laser-Induced Breakdown Spectroscopy. (2018) ANALYTICAL LETTERS 0003-2719 1532-236X 51 1592-1604
  15. * Galbács Gábor et al. Analitikai kémiai kutatások a Szegedi Tudományegyetem Kémiai Intézetében. (2019) MAGYAR KÉMIKUSOK LAPJA 0025-0163 1588-1199 74 11 334-339
  16. Oravec Michal et al. Forensic classification of black inkjet prints using Fourier transform near-infrared spectroscopy and Linear Discriminant Analysis. (2019) FORENSIC SCIENCE INTERNATIONAL 0379-0738 1872-6283 299 128-134
  17. Hui Yew Wan et al. Laser-induced breakdown spectroscopy (LIBS) for printing ink analysis coupled with principle component analysis (PCA). (2019) Megjelent: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON BIOSCIENCES AND MEDICAL ENGINEERING (ICBME2019): TOWARDS INNOVATIVE RESEARCH...
  18. Costa Vinicius C. et al. LASER INDUCED-BREAKDOWN SPECTROSCOPY (LIBS): HISTORY, FUNDAMENTALS. APPLICATIONS AND POTENTIALITIES. (2019) QUIMICA NOVA 0100-4042 1678-7064 42 5 527-545
  19. Verma Neha et al. On the spectroscopic examination of printed documents by using a field emission scanning electron microscope with energy-dispersive X-ray spectroscopy (FE-SEM-EDS) and chemometric methods: application in forensic science. (2019) ANALYTICAL AND BIOANALYTICAL CHEMISTRY 1618-2642 1618-2650 411 16 3477-3495
  20. ? Palásti D.J. et al. Qualitative discrimination of coal aerosols by using the statistical evaluation of laser-induced breakdown spectroscopy data. (2019) SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY 0584-8547 1873-3565 153 34-41
  21. Sena M.M. et al. 4.06 - Chemometrics in Forensics. (2020) Megjelent: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set pp. 113-148
  22. Krol Malgorzata et al. Characterization of the elemental composition of polish banknotes by X-ray fluorescence and laser-induced breakdown spectroscopy. (2020) SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY 0584-8547 1873-3565 169
  23. Cicconi Flavio et al. Forensic Analysis of Commercial Inks by Laser-Induced Breakdown Spectroscopy (LIBS). (2020) SENSORS 1424-8220 1424-8220 20 13
  24. Haase Emily Ann. Validation of Fast Spectrochemical Screening Methods for the Identification of Counterfeit Pharmaceutical Packaging. (2020)
  25. Huo Junjun. A Study of Spatial Attention and Squeeze Excitation Block Fusion Improved ResNet for Identifying Bank Notes. (2021) SECURITY AND COMMUNICATION NETWORKS 1939-0114 1939-0122 2021
  26. * Janovszky Patrick et al. Classification of minerals and the assessment of lithium and beryllium content in granitoid rocks by laser-induced breakdown spectroscopy. (2021) JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY 0267-9477 1364-5544 36 4 813-823
  27. Hilario F.F. et al. Forensic analysis of hand-written documents using laser-induced breakdown spectroscopy (LIBS) and chemometrics. (2021) ANALYTICAL METHODS: ADVANCING METHODS AND APPLICATIONS 1759-9660 1759-9679 13 2 232-241
  28. Ahmed Zakaria E. et al. Laser-induced breakdown spectroscopy and chemometric analysis of black toners for forensic applications. (2021) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 35 5
  29. Gaudiuso Rosalba. Laser-induced breakdown spectroscopy in cultural heritage science. (2021) Megjelent: Spectroscopy, Diffraction and Tomography in Art and Heritage Science pp. 209-251
  30. Araújo Alisson Silva et al. Multiway Calibration Strategies in Laser-Induced Breakdown Spectroscopy: A Proposal. (2021) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 93 16 6291-6300
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  32. * Palásti D.J. et al. Qualitative Analysis of Glass Microfragments Using the Combination of Laser-Induced Breakdown Spectroscopy and Refractive Index Data. (2022) SENSORS 1424-8220 22 8
  33. Sushkov N.. Qualitative Classification of Biological Materials. (2022) Megjelent: Laser-Induced Breakdown Spectroscopy in Biological, Forensic and Materials Sciences pp. 165-203
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Zárolt Közlemény:2588006 Nyilvános Forrás Könyvrészlet (Absztrakt / Kivonat ) Tudományos
Absztrakt / Kivonat (Könyvrészlet) | Tudományos[2588006] [Nyilvános]
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Published by University of Szeged Faculty of Engineering, Editor-in-Chief: Cecília Hodúr, Responsible Publisher: Gábor Keszthelyi-Szabó Dean of the Faculty of Engineering, ISSN: 2064-7964, http://www.analecta.hu/,
Zárolt Közlemény:2759808 Admin láttamozott Forrás Egyéb (Folyóirat vagy sorozatszerkesztés ) Tudományos
Folyóirat vagy sorozatszerkesztés (Egyéb) | Tudományos[2759808] [Admin láttamozott]
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Rajkó, Róbert ; Erdélyi, Péter
Szeged, Magyarország : Szegedi Tudományegyetem (SZTE) (2014) , 36 p.
Zárolt Közlemény:2841018 Nyilvános Forrás Könyv (Oktatási anyag ) Oktatási
Oktatási anyag (Könyv) | Oktatási[2841018] [Nyilvános]
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Róbert, Rajkó ✉ ; Yu, Zheng
JOURNAL OF CHEMOMETRICS 28 : 9 pp. 691-695. , 5 p. (2014)
Zárolt Közlemény:2566641 Egyeztetett Forrás Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 5 | Független: 3 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 5 | Scopus jelölt: 5 | WoS/Scopus jelölt: 5 | DOI jelölt: 5
Szakcikk (Folyóiratcikk) | Tudományos[2566641] [Egyeztetett]
Nyilvános idéző összesen: 5, Független: 3, Függő: 2, Nem jelölt: 0
  1. * Róbert Rajkó et al. Fitting-free curve resolution of spectroscopic data: chemometric and physical chemical viewpoints. (2015) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 888 19-26
  2. * Omidikia Nematollah et al. Trilinear self‐modeling curve resolution using Borgen‐Rajkó plot. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 3
  3. Sawall Mathias et al. On the area of feasible solutions for rank-deficient problems: I. Introduction of a generalized concept. (2021) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 35 3
  4. Kałka Andrzej J. et al. A new ingenious combination of rank annihilation factor analysis (RAFA) and self-modeling to enhance the unambiguous resolution of multicomponent spectra. (2023) SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 1386-1425 1873-3557 294
  5. Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
43.
Samira, Beyramysoltan ; Hamid, Abdollahi ; Róbert, Rajkó ✉
ANALYTICA CHIMICA ACTA 827 pp. 1-14. , 14 p. (2014)
Zárolt Közlemény:2566662 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 39 | Független: 18 | Függő: 21 | Nem jelölt: 0 | WoS jelölt: 36 | Scopus jelölt: 39 | WoS/Scopus jelölt: 39 | DOI jelölt: 39
Szakcikk (Folyóiratcikk) | Tudományos[2566662] [Egyeztetett]
Nyilvános idéző összesen: 39, Független: 18, Függő: 21, Nem jelölt: 0
  1. * Robert Rajko et al. Definition and detection of data-based uniqueness in evaluating bilinear (two-way) chemical measurements. (2015) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 855 21-33
  2. * Róbert Rajkó et al. Fitting-free curve resolution of spectroscopic data: chemometric and physical chemical viewpoints. (2015) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 888 19-26
  3. Juerss Annekathrin et al. On generalized Borgen plots. I: From convex to affine combinations and applications to spectral data In memory of Odd S. Borgen (1929-1994). (2015) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 29 7 420-433
  4. * Sawall Mathias et al. Soft constraints for reducing the intrinsic rotational ambiguity of the area of feasible solutions. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 149 140-150
  5. * Omidikia N et al. Analytical solution and meaning of feasible regions in two-component three-way arrays. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 939 42-53
  6. * Azadeh Golshan et al. A review of recent methods for the determination of ranges of feasible solutions resulting from soft modeling analyses of multivariate data. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 911 1-13
  7. * Masoumeh Alinaghi et al. A systematic study on the effects of multi-set data analysis on the range of feasible solutions. (2016) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 153 22-32
  8. * Rahimdoust Mojdehi N et al. Investigating the effect of flexible constraints on the accuracy of self-modeling curve resolution methods in the presence of perturbations. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 5 252-267
  9. Neymeyr Klaus et al. On an SVD-free approach to the complementarity and coupling theory. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 1 30-36
  10. Schröder H et al. On the ambiguity of the reaction rate constants in multivariate curve resolution for reversible first-order reaction systems. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 927 21-34
  11. Sawall M. et al. On the Analysis and Computation of the Area of Feasible Solutions for Two-, Three-, and Four-Component Systems. (2016) Megjelent: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging pp. 135-184
  12. Sawall Mathias et al. A ray casting method for the computation of the area of feasible solutions for multicomponent systems: Theory, applications and FACPACK-implementation. (2017) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 960 Barcelona 40-52
  13. Schroeder Henning et al. Comparative multivariate curve resolution study in the area of feasible solutions. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 163 55-63
  14. Sawall Mathias et al. Simultaneous construction of dual Borgen plots. I: The case of noise-free data. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 12
  15. Sawall Mathias et al. A chemometric study in the area of feasible solution of an acid-base titration of N-methyl-6-oxyquinolone. (2018) RSC ADVANCES 2046-2069 2046-2069 8 18 9922-9932
  16. Vosough Maryam. Current challenges in second-order calibration of hyphenated chromatographic data for analysis of highly complex samples. (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 12
  17. * Tavakkoli E et al. Duality based direct resolution of unique profiles using zero concentration region information. (2018) TALANTA 0039-9140 1873-3573 184 557-564
  18. Sawall Mathias et al. Simultaneous construction of dual Borgen plots. II: Algorithmic enhancement for applications to noisy spectral data. (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 6
  19. * Ghaffari M et al. Strategy To Obtain Accurate Analytical Solutions in Second-Order Multivariate Calibration with Curve Resolution Methods. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 16 9725-9733
  20. * Ghaffari Mahdiyeh et al. A conceptual view to the area correlation constraint in multivariate curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 189 121-129
  21. Chen Yunliang et al. A Method for the Quantitative Analysis of a Key Component in Complex Mixtures Using Raman Spectroscopy Based on Peak Decomposition. (2019) ANALYTICAL SCIENCES 0910-6340 1348-2246 35 5 511-515
  22. * Zade Somaye Vali et al. Introducing the monotonicity constraint as an effective chemistry-based condition in self-modeling curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 190 22-32
  23. * Ghaffari Mandiyeh et al. Multi-excitation hyperspectral autofluorescence imaging for the exploration of biological samples. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1062 47-59
  24. Sawall M. et al. 2.12 - On the Ambiguity Underlying Multivariate Curve Resolution Methods. (2020) Megjelent: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set pp. 199-231
  25. * Alinaghi Masoumeh et al. Investigation of the unique solutions in bilinear decomposition of multiset chemical data. (2020) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 155
  26. * Tavakkoli E. et al. New duality based generalized rank annihilation algorithm for determining analyte concentration with realistically estimated error level for practical data sets. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 203
  27. Sawall Mathias et al. On the analysis of chromatographic biopharmaceutical data by curve resolution techniques in the framework of the area of feasible solutions. (2020) JOURNAL OF CHROMATOGRAPHY A 0021-9673 1873-3778 1627
  28. * Tavakkoli Elnaz et al. Soft-trilinear constraints for improved quantitation in multivariate curve resolution. (2020) ANALYST 0003-2654 1364-5528 145 1 223-232
  29. * Omidikia N. et al. Sparse non-negative multivariate curve resolution: L0, L1, or L2 norms?. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 199
  30. * Omidikia Nematollah et al. Trilinear self‐modeling curve resolution using Borgen‐Rajkó plot. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 3
  31. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  32. Sawall M. et al. A multi-method chemometric analysis in spectroelectrochemistry: Case study on molybdenum mono-dithiolene complexes. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1185
  33. * Zade Somaye Vali et al. Characterization of the unimodality constraint as an effective chemistry-based condition in resolving of chemical processes data. (2021) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 160
  34. Andersons Tomass et al. Analytical enclosure of the set of solutions of the three-species multivariate curve resolution problem. (2022) JOURNAL OF MATHEMATICAL CHEMISTRY 0259-9791 1572-8897 60 9 1750-1780
  35. * Abdollahi H. et al. Uniqueness in resolving multivariate chemical data. (2022) Megjelent: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling pp. 137-171
  36. Carabajal Maira D. et al. A new constraint to model background signals when processing chromatographic-spectral second-order data with multivariate curve resolution. (2023) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1266
  37. Omidikia N. et al. Bilinear model factor decomposition: A general mixture analysis tool. (2023) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 240
  38. * Gillis Nicolas et al. Partial Identifiability for Nonnegative Matrix Factorization. (2023) SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS 0895-4798 1095-7162 44 1 27-52
  39. * Vali Zade S. et al. Effects of different constraints on range of feasible solutions in self-modeling curve resolution methods. (2024) Megjelent: Data Handling in Science and Technology pp. 1-24
44.
Beyramysoltan, S ; Rajko, R ; Abdollahi, H
ANALYTICA CHIMICA ACTA 791 pp. 25-35. , 11 p. (2013)
Zárolt Közlemény:2501579 Hitelesített Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 53 | Független: 30 | Függő: 23 | Nem jelölt: 0 | WoS jelölt: 45 | Scopus jelölt: 50 | WoS/Scopus jelölt: 51 | DOI jelölt: 50
Szakcikk (Folyóiratcikk) | Tudományos[2501579] [Hitelesített]
Nyilvános idéző összesen: 53, Független: 30, Függő: 23, Nem jelölt: 0
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  2. Mathias Sawall et al. FACPACK: A software for the computation of multi-component factorisations and the area of feasible solutions. (2014)
  3. Sawall Mathias et al. How To Apply the Complementarity and Coupling Theorems in MCR Methods: Practical Implementation and Application to the Rhodium-Catalyzed Hydroformylation. (2014) ACS CATALYSIS 2155-5435 2155-5435 4 9 2836-2843
  4. Sawall M et al. How to compute the area of feasible solutions a practical case study and users' guide to FAC-PACK. (2014) Megjelent: Current Applications of Chemometrics pp. 97-133
  5. * Samira Beyramysoltan et al. Newer developments on self-modeling curve resolution implementing equality and unimodality constraints. (2014) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 827 1-14
  6. Sawall Mathias et al. On the area of feasible solutions and its reduction by the complementarity theorem. (2014) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 828 17-26
  7. Mas S et al. Screening and quantification of proteinaceous binders in medieval paints based on μ-Fourier transform infrared spectroscopy and multivariate curve resolution alternating least squares. (2014) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 134 148-157
  8. * Robert Rajko et al. Definition and detection of data-based uniqueness in evaluating bilinear (two-way) chemical measurements. (2015) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 855 21-33
  9. Zhang Xin et al. Measuring and comparing the resolution performance and the extent of rotation ambiguities of some bilinear modeling methods. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 147 47-57
  10. Ana Verónica Guamán. Multivariate Signal Processing for Quantitative and Qualitative Analysis of Ion Mobility Spectrometry data, applied to Biomedical Applications and Food Related Applications. (2015)
  11. Juerss Annekathrin et al. On generalized Borgen plots. I: From convex to affine combinations and applications to spectral data In memory of Odd S. Borgen (1929-1994). (2015) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 29 7 420-433
  12. Marini Federico et al. Particle swarm optimization (PSO). A tutorial. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 149 153-165
  13. Jiang B et al. Prediction model of wood moisture content based on grid search and support vector machine. (2015) JOURNAL OF COMPUTATIONAL INFORMATION SYSTEMS 1553-9105 11 14 5071-5078
  14. * Sawall Mathias et al. Soft constraints for reducing the intrinsic rotational ambiguity of the area of feasible solutions. (2015) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 149 140-150
  15. Malik A. et al. Ambiguities in Multivariate Curve Resolution. (2016) Megjelent: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging pp. 101-133
  16. * Omidikia N et al. Analytical solution and meaning of feasible regions in two-component three-way arrays. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 939 42-53
  17. * Azadeh Golshan et al. A review of recent methods for the determination of ranges of feasible solutions resulting from soft modeling analyses of multivariate data. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 911 1-13
  18. * Masoumeh Alinaghi et al. A systematic study on the effects of multi-set data analysis on the range of feasible solutions. (2016) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 153 22-32
  19. * Rostami Akram et al. Enhanced target factor analysis. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 911 35-41
  20. * Rahimdoust Mojdehi N et al. Investigating the effect of flexible constraints on the accuracy of self-modeling curve resolution methods in the presence of perturbations. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 5 252-267
  21. Neymeyr Klaus et al. On an SVD-free approach to the complementarity and coupling theory. (2016) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 30 1 30-36
  22. Sawall M. et al. On the Analysis and Computation of the Area of Feasible Solutions for Two-, Three-, and Four-Component Systems. (2016) Megjelent: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging pp. 135-184
  23. Sawall Mathias et al. A ray casting method for the computation of the area of feasible solutions for multicomponent systems: Theory, applications and FACPACK-implementation. (2017) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 960 Barcelona 40-52
  24. Schroeder Henning et al. Comparative multivariate curve resolution study in the area of feasible solutions. (2017) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 163 55-63
  25. * Lakeh MA et al. Local Rank Deficiency Caused Problems in Analyzing Chemical Data. (2017) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 89 4 2259-2266
  26. Sawall Mathias et al. Simultaneous construction of dual Borgen plots. I: The case of noise-free data. (2017) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 31 12
  27. * Omidikia N et al. Closure constraint in multivariate curve resolution. (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 12
  28. Vosough Maryam. Current challenges in second-order calibration of hyphenated chromatographic data for analysis of highly complex samples. (2018) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 32 12
  29. * Ghaffari M et al. Duality based interpretation of uniqueness in the trilinear decompositions. (2018) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 177 17-25
  30. Zhang J et al. Measurement of lumber moisture content based on PCA and GS-SVM. (2018) JOURNAL OF FORESTRY RESEARCH 1007-662X 1993-0607 29 2 557-564
  31. * Ghaffari M et al. Strategy To Obtain Accurate Analytical Solutions in Second-Order Multivariate Calibration with Curve Resolution Methods. (2018) ANALYTICAL CHEMISTRY 0003-2700 1520-6882 90 16 9725-9733
  32. * Ghaffari Mahdiyeh et al. A conceptual view to the area correlation constraint in multivariate curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 189 121-129
  33. Zhang Xin et al. Evaluation of the extension of rotation ambiguity associated to multivariate curve resolution solutions by the application of the MCR-BANDS method. (2019) TALANTA 0039-9140 1873-3573 202 554-564
  34. * Zade Somaye Vali et al. Introducing the monotonicity constraint as an effective chemistry-based condition in self-modeling curve resolution. (2019) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 190 22-32
  35. * Ghaffari Mandiyeh et al. Multi-excitation hyperspectral autofluorescence imaging for the exploration of biological samples. (2019) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1062 47-59
  36. Marini F. et al. 1.26 - Particle Swarm Optimization. (2020) Megjelent: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set pp. 649-666
  37. Sawall M. et al. 2.12 - On the Ambiguity Underlying Multivariate Curve Resolution Methods. (2020) Megjelent: Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set pp. 199-231
  38. * Karimvand Somaiyeh Khodadadi et al. A general rule for uniqueness in self‐modeling curve resolution methods. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  39. de Juan Anna et al. A perspective on modeling evolution. (2020) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 34 7
  40. Li Xiong et al. Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and epsilon-support vector regression. (2020) INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 0020-7543 1366-588X 58 4 1178-1198
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  43. * Sawall Mathias et al. On the restrictiveness of equality constraints in multivariate curve resolution. (2020) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 199
  44. * Tavakkoli Elnaz et al. Soft-trilinear constraints for improved quantitation in multivariate curve resolution. (2020) ANALYST 0003-2654 1364-5528 145 1 223-232
  45. Olivieri Alejandro C.. A down-to-earth analyst view of rotational ambiguity in second-order calibration with multivariate curve resolution-a tutorial. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1156
  46. Sawall M. et al. A multi-method chemometric analysis in spectroelectrochemistry: Case study on molybdenum mono-dithiolene complexes. (2021) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 1185
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  50. * Zade Somaye Vali et al. The classification performance of multivariate curve resolution-discriminant analysis: A comparative study. (2023) MICROCHEMICAL JOURNAL 0026-265X 1095-9149 191
  51. * Vali Zade S. et al. Effects of different constraints on range of feasible solutions in self-modeling curve resolution methods. (2024) Megjelent: Data Handling in Science and Technology pp. 1-24
  52. Cain Caitlin N. et al. Enhancing gas chromatography-mass spectrometry resolution and pure analyte discovery using intra-chromatogram elution profile matching. (2024) TALANTA 0039-9140 1873-3573 278
  53. Beese Martina et al. On the factor ambiguity of MCR problems for blockwise incomplete data sets. (2024) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 0169-7439 1873-3239 249 p. 105134
45.
de Juan, A ; Abdollahi, H ; Maeder, M ; Rajko, R ; Tauler, R
JOURNAL OF CHEMOMETRICS 27 : 1-2 pp. 1-2. , 2 p. (2013)
Zárolt Közlemény:2501580 Hitelesített Forrás Folyóiratcikk (Rövid közlemény ) Tudományos
Nyilvános idéző összesen: 1 | Független: 1 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 1 | WoS/Scopus jelölt: 1 | DOI jelölt: 1
Rövid közlemény (Folyóiratcikk) | Tudományos[2501580] [Hitelesített]
Nyilvános idéző összesen: 1, Független: 1, Függő: 0, Nem jelölt: 0
  1. Naseri A et al. A perspective on the growth of chemometrics in Iran: a glance into activities between 2005 and 2012. (2013) JOURNAL OF CHEMOMETRICS 0886-9383 1099-128X 27 10 263-277
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Konferenciaközlemény (Egyéb konferenciaközlemény) | Tudományos[2358626] [Egyeztetett]
47.
HERITAGE SCIENCE 1 : 2 Paper: 1/1/2 , 9 p. (2013)
Zárolt Közlemény:2289338 Hitelesített Forrás Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 12 | Független: 10 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 11 | Scopus jelölt: 12 | WoS/Scopus jelölt: 12 | DOI jelölt: 11
Szakcikk (Folyóiratcikk) | Tudományos[2289338] [Hitelesített]
Nyilvános idéző összesen: 12, Független: 10, Függő: 2, Nem jelölt: 0
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  5. Becherini Francesca et al. Aesthetic compatibility assessment of consolidants for wall paintings by means of multivariate analysis of colorimetric data. (2018) CHEMISTRY CENTRAL JOURNAL 1752-153X 12 1
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Nyilvános idéző összesen: 3 | Független: 3 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 2 | WoS/Scopus jelölt: 2 | DOI jelölt: 2
Rövid közlemény (Folyóiratcikk) | Tudományos[1373040] [Egyeztetett]
Nyilvános idéző összesen: 3, Független: 3, Függő: 0, Nem jelölt: 0
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Nyilvános idéző összesen: 113 | Független: 90 | Függő: 23 | Nem jelölt: 0 | WoS jelölt: 88 | Scopus jelölt: 91 | WoS/Scopus jelölt: 103 | DOI jelölt: 93
Szakcikk (Folyóiratcikk) | Tudományos[1373042] [Egyeztetett]
Nyilvános idéző összesen: 113, Független: 90, Függő: 23, Nem jelölt: 0
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Gödöllő, Magyarország : Szent István University Faculty of Mechanical Engineering (2009) pp. 191-195. Paper: 02-191 , 5 p.
Zárolt Közlemény:1855103 Hitelesített Forrás Könyvrészlet (Konferenciaközlemény ) Tudományos
Nyilvános idéző összesen: 1 | Független: 1 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 1 | Scopus jelölt: 1 | WoS/Scopus jelölt: 1
Konferenciaközlemény (Könyvrészlet) | Tudományos[1855103] [Hitelesített]
Nyilvános idéző összesen: 1, Független: 1, Függő: 0, Nem jelölt: 0
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Nyilvános idéző összesen: 4 | Független: 4 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 4 | Scopus jelölt: 4 | WoS/Scopus jelölt: 4 | DOI jelölt: 4
Szakcikk (Folyóiratcikk) | Tudományos[1343534] [Hitelesített]
Nyilvános idéző összesen: 4, Független: 4, Függő: 0, Nem jelölt: 0
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Szakcikk (Folyóiratcikk) | Tudományos[1148125] [Hitelesített]
Nyilvános idéző összesen: 18, Független: 17, Függő: 1, Nem jelölt: 0
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Zárolt Közlemény:1373046 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
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Szakcikk (Folyóiratcikk) | Tudományos[1373046] [Egyeztetett]
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Nyilvános idéző összesen: 52 | Független: 44 | Függő: 8 | Nem jelölt: 0 | WoS jelölt: 52 | Scopus jelölt: 50 | WoS/Scopus jelölt: 52 | DOI jelölt: 50
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Zárolt Közlemény:1373044 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 51 | Független: 35 | Függő: 16 | Nem jelölt: 0 | WoS jelölt: 51 | Scopus jelölt: 47 | WoS/Scopus jelölt: 51 | DOI jelölt: 49
Szakcikk (Folyóiratcikk) | Tudományos[1373044] [Egyeztetett]
Nyilvános idéző összesen: 51, Független: 35, Függő: 16, Nem jelölt: 0
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TALANTA 79 : 2 pp. 268-274. , 7 p. (2009)
Zárolt Közlemény:1373043 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 19 | Független: 13 | Függő: 6 | Nem jelölt: 0 | WoS jelölt: 16 | Scopus jelölt: 16 | WoS/Scopus jelölt: 18 | DOI jelölt: 16
Szakcikk (Folyóiratcikk) | Tudományos[1373043] [Egyeztetett]
Nyilvános idéző összesen: 19, Független: 13, Függő: 6, Nem jelölt: 0
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  11. * Azadeh Golshan et al. A review of recent methods for the determination of ranges of feasible solutions resulting from soft modeling analyses of multivariate data. (2016) ANALYTICA CHIMICA ACTA 0003-2670 1873-4324 911 1-13
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Zárolt Közlemény:1373049 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 49 | Független: 44 | Függő: 5 | Nem jelölt: 0 | WoS jelölt: 35 | Scopus jelölt: 44 | WoS/Scopus jelölt: 48 | DOI jelölt: 34
Szakcikk (Folyóiratcikk) | Tudományos[1373049] [Egyeztetett]
Nyilvános idéző összesen: 49, Független: 44, Függő: 5, Nem jelölt: 0
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Ismertetés (Folyóiratcikk) | Tudományos[1373587] [Nyilvános]
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 94 : 1 pp. 70-71. , 2 p. (2008)
Zárolt Közlemény:1373047 Egyeztetett Forrás Folyóiratcikk (Rövid közlemény ) Tudományos
Nyilvános idéző összesen: 2 | Független: 0 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 2 | Scopus jelölt: 2 | WoS/Scopus jelölt: 2 | DOI jelölt: 2
Rövid közlemény (Folyóiratcikk) | Tudományos[1373047] [Egyeztetett]
Nyilvános idéző összesen: 2, Független: 0, Függő: 2, Nem jelölt: 0
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Zárolt Közlemény:1373048 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 32 | Független: 25 | Függő: 7 | Nem jelölt: 0 | WoS jelölt: 22 | Scopus jelölt: 23 | WoS/Scopus jelölt: 29 | DOI jelölt: 23
Szakcikk (Folyóiratcikk) | Tudományos[1373048] [Egyeztetett]
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Zárolt Közlemény:1373050 Hitelesített Forrás Folyóiratcikk (Szakcikk ) Tudományos
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Szakcikk (Folyóiratcikk) | Tudományos[1373050] [Hitelesített]
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Zárolt Közlemény:1373051 Egyeztetett Forrás Idéző Folyóiratcikk (Rövid közlemény ) Tudományos
Nyilvános idéző összesen: 77 | Független: 53 | Függő: 24 | Nem jelölt: 0 | WoS jelölt: 73 | Scopus jelölt: 75 | WoS/Scopus jelölt: 76 | DOI jelölt: 75
Rövid közlemény (Folyóiratcikk) | Tudományos[1373051] [Egyeztetett]
Nyilvános idéző összesen: 77, Független: 53, Függő: 24, Nem jelölt: 0
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  15. Sawall Mathias et al. How To Apply the Complementarity and Coupling Theorems in MCR Methods: Practical Implementation and Application to the Rhodium-Catalyzed Hydroformylation. (2014) ACS CATALYSIS 2155-5435 2155-5435 4 9 2836-2843
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93.
KONZERVÚJSÁG 53 : 4 pp. 110-110. , 1 p. (2005)
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Absztrakt / Kivonat (Folyóiratcikk) | Tudományos[2010086] [Egyeztetett]
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Zárolt Közlemény:1720023 Admin láttamozott Forrás Egyéb (Nem besorolt ) Tudományos
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Zárolt Közlemény:1719983 Admin láttamozott Forrás Egyéb (Nem besorolt ) Tudományos
Nem besorolt (Egyéb) | Tudományos[1719983] [Admin láttamozott]
97.
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Zárolt Közlemény:1720017 Admin láttamozott Forrás Egyéb (Nem besorolt ) Tudományos
Nem besorolt (Egyéb) | Tudományos[1720017] [Admin láttamozott]
98.
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99.
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Zárolt Közlemény:1373053 Egyeztetett Forrás Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 139 | Független: 113 | Függő: 25 | Nem jelölt: 1 | WoS jelölt: 122 | Scopus jelölt: 133 | WoS/Scopus jelölt: 134 | DOI jelölt: 131
Szakcikk (Folyóiratcikk) | Tudományos[1373053] [Egyeztetett]
Nyilvános idéző összesen: 139, Független: 113, Függő: 25, Nem jelölt: 1
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  12. Março PH. Estudo da influência da radiação e pH no comportamento cinético de antocianinas de plantas do gênero hibiscus por métodos quimiométricos: Study on the influence of radiation and pH at the kinetic behaviour of anthocyanins from plants of hibiscus gender by chemometrics methods. (2009)
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100.
ANALYTICA CHIMICA ACTA 554 : 1-2 pp. 163-171. , 9 p. (2005)
Zárolt Közlemény:1168037 Egyeztetett Forrás Idéző Folyóiratcikk (Szakcikk ) Tudományos
Nyilvános idéző összesen: 34 | Független: 32 | Függő: 2 | Nem jelölt: 0 | WoS jelölt: 27 | Scopus jelölt: 29 | WoS/Scopus jelölt: 30 | DOI jelölt: 30
Szakcikk (Folyóiratcikk) | Tudományos[1168037] [Egyeztetett]
Nyilvános idéző összesen: 34, Független: 32, Függő: 2, Nem jelölt: 0
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