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.

本研究描述了一种基于对克隆期刊档案的分析来识别被劫持期刊域的方法。这种方法基于欺诈出版商回收相同论文为被劫持的期刊创建虚构档案的论点。一个Google 自定义搜索 API用于搜索在被劫持的期刊上发表的论文的详细信息（标题/作者/隶属关系），并提供指向类似文本发表地点的链接。对被劫持期刊档案的分析有助于检测57种真实期刊的62个克隆网站。它还可以在两个被劫持的期刊网站投入运营之前对其进行预测。这项研究表明，大多数检测到的被劫持的期刊都位于由同一欺诈者组织的克隆期刊网络中。经审查的 57 种合法期刊中，有 9 种的信息和内容在国际和国家科学计量数据库中遭到劫机者的破坏，这对国际学术界构成了挑战。