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An open automation system for predatory journal detection

The growing number of online open-access journals promotes academic exchanges, but the prevalence of predatory journals is undermining the scholarly reporting process. Data collection, feature extraction, and model prediction are common steps in tools designed to distinguish between legitimate and p...

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Detalles Bibliográficos
Autores principales: Chen, Li-Xian, Su, Shih-Wen, Liao, Chia-Hung, Wong, Kai-Sin, Yuan, Shyan-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940686/
https://www.ncbi.nlm.nih.gov/pubmed/36806308
http://dx.doi.org/10.1038/s41598-023-30176-z