This study describes a method for identifying hijacked journal domains based on an
analysis of the archives of clone journals. This method is based on the argument that
fraudulent publishers recycle identical papers to create a fictitious archive for
a hijacked journal. A Google Custom Search API is used to search the details of papers
published in hijacked journals (title/authors/affiliation) and provide links to where
similar texts were published. An analysis of the archives of hijacked journals facilitates
the detection of 62 clone websites of 57 authentic journals. It also enabled the prediction
of two hijacked journal websites before they became operational. This study shows
that the majority of detected hijacked journals are within a network of clone journals
organized by the same fraudulent individual(s). The information and content of nine
out of the 57 examined legitimate journals have been compromised in international
and national scientometric databases by hijackers, which poses a challenge for the
international academic community.