IF 3.1 Q2 PHARMACOLOGY & PHARMACY
Advanced pharmaceutical bulletin Pub Date : 2024-12-30 Epub Date: 2024-12-05 DOI:10.34172/apb.44002
Mihály Hegedűs, Mehdi Dadkhah, Lóránt Dénes Dávid
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引用次数: 0

摘要

目的:被劫持的期刊是模仿合法期刊的欺诈性网站,通过向作者收费来发表稿件。本期社论致力于对当前文献进行近距离观察。这篇社论分析了10年来对被劫持期刊的研究,并试图揭示未来的趋势:目前的研究采用文献计量学方法来分析数据和讨论结果。数据收集使用了 OpenAlex。部分数据分析使用 OpenAlex 进行。另一项研究是使用 Bibliometrix 完成的,日期仅限于 2014 年至 2024 年间的出版物:研究结果从获取类型、增长、主题、最常出现的词、国家贡献、顶级出版商以及文献与可持续发展目标的一致性等方面对已出版的文献进行了近距离观察:现有文献的不足之处在于缺乏便于所有研究人员使用的方法来进行劫持期刊的检测和数据分析。人工智能的应用前景广阔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decade in Hijacked Journals: What Will be the Future Trend?

Purpose: Hijacked journals are fraudulent websites that mimic legitimate journals and, by charging authors, publish manuscripts. The current editorial endeavors to provide a close view of current literature. This editorial piece analyzes 10 years of research on hijacked journals and endeavors to shed light on future trends.

Methods: Current research uses a bibliometric approach to analyze data and discuss results. The OpenAlex has been used for data collection. Some of the data analysis was conducted using OpenAlex. The other study was done using Bibliometrix, and the date is limited to publication between 2014 and 2024.

Results: The findings provide a close view of the published literature in terms of access type, growth, topics, most frequent words, country contribution, top publishers, and alignment of literature with sustainable development goals.

Conclusion: The gap in current literature is the limitation in easily usable methods to be accessible by all researchers for hijacked journal detection and data analysis. The use of artificial intelligence can be promising.

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来源期刊
Advanced pharmaceutical bulletin
Advanced pharmaceutical bulletin PHARMACOLOGY & PHARMACY-
CiteScore
6.80
自引率
2.80%
发文量
51
审稿时长
12 weeks
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