Detecting Hijacked Journals by Using Classification Algorithms-Reference-Cited by-同舟云学术

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Detecting Hijacked Journals by Using Classification Algorithms

Published:2017-04-10 Issue: Volume: Page:
ISSN:1353-3452
Container-title:Science and Engineering Ethics
language:en
Short-container-title:Sci Eng Ethics

Author:

Andoohgin Shahri Mona,Jazi Mohammad Davarpanah,Borchardt Glenn,Dadkhah Mehdi

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Health Policy,Issues, ethics and legal aspects,Health (social science)

Link

http://link.springer.com/content/pdf/10.1007/s11948-017-9914-2.pdf

Reference14 articles.

1. Asadi, A., Rahbar, N., Asadi, M., Asadi, F., & Khalili Paji, K. (2017). Online-based approaches to identify real journals and publishers from hijacked ones. Science and Engineering Ethics, 23(1), 305–308. doi: 10.1007/s11948-015-9747-9 .

2. Bohannon, J. (2015). How to hijack a journal. Science, 350(6263), 903–905.

3. Butler, D. (2013). Sham journals scam authors. Nature, 495(7442), 421–422. doi: 10.1038/495421a .

4. Dadkhah, M., & Borchardt, G. (2016). Hijacked journals: An emerging challenge for scholarly publishing. Aesthetic Surgery Journal, 36(6), 739–741. doi: 10.1093/asj/sjw026 .

5. Dadkhah, M., Maliszewski, T., & Lyashenko, V. V. (2016). An approach for preventing the indexing of hijacked journal articles in scientific databases. Behaviour and Information Technology, 35(4), 298–303. doi: 10.1080/0144929X.2015.1128975 .

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