Mehdi Dadkhah

36927136500

Publications - 6

The Impact Beyond Academia: Patent Citations of the Advanced Pharmaceutical Bulletin

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs

Publication Name: Advanced Pharmaceutical Bulletin

Publication Date: 2025-01-01

Volume: 15

Issue: 2

Page Range: 223-227

Description:

Purpose: This study aims to analyze the technological impact of papers that Advanced Pharmaceutical Bulletin (APB) has published through patent-to-paper citations analysis. Methods: Current research uses a Scientometric approach to analyze patent citations to published papers by the APB. The Lens has been used for collecting patents that cited related papers. Some of the data analysis was conducted using the Lens analytical tool. Results: Results show that APB’s patent-to-paper citation rate is 32.39%, above the toxicology field average (6.15%) but below pharmacology (46.33%), indicating significant technological influence. APB contributes to both science and technology, attracting global inventors. Conclusion: The patent citations metric can be used to understand how a journal contributes to technological progress. However, these methods need to be standardized and promoted to understand a journal’s real value in technology contribution.

Open Access: Yes

DOI: 10.34172/apb.025.45761

Benchmarking AI chatbots: Assessing their accuracy in identifying hijacked medical journals

Lóránt Dávid Mehdi Dadkhah Mihály Hegedå±s

Publication Name: Diagnosis

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The challenges posed by questionable journals to academia are very real, and being able to detect hijacked journals would be valuable to the research community. Using an artificial intelligence (AI) chatbot may be a promising approach to early detection. The purpose of this research is to analyze and benchmark the performance of different AI chatbots in identifying hijacked medical journals. This study utilized a dataset comprising 21 previously identified hijacked journals and 10 newly detected hijacked journals, alongside their respective legitimate versions. ChatGPT, Gemini, Copilot, DeepSeek, Qwen, Perplexity, and Claude were selected for benchmarking. Three question types were developed to assess AI chatbots' performance in providing information about hijacked journals, identifying hijacked websites, and verifying legitimate ones. The results show that current AI chatbots can provide general information about hijacked journals, but cannot reliably identify either real or hijacked journal titles. While Copilot performed better than others, it was not error-free. Current AI chatbots are not yet reliable for detecting hijacked journals and may inadvertently promote them.

Open Access: Yes

DOI: 10.1515/dx-2025-0043

Hijacked medical journals rank first via search engine optimization and threaten academic integrity

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs

Publication Name: European Journal of Internal Medicine

Publication Date: 2025-10-01

Volume: 140

Issue: Unknown

Page Range: Unknown

Description:

The rise of questionable journals poses a significant threat to academic integrity, resulting in substantial waste of institutional and university resources. This commentary analysis focuses on six hijacked medical journals, a specific type of questionable publication. We utilized Semrush, an online Search Engine Optimization auditing platform, to analyse our data, which revealed that hijacked journals disseminate their content through search engines. Specifically, searches for certain medical keywords return hijacked medical journals’ content among the top 20 results. Evidence from both previous research and the current study suggests that hijacked journals leverage various channels for content dissemination, including artificial intelligence chatbots, citation databases, spam emails, and search engines. Raising awareness about this issue is crucial to mitigating the immediate harm caused by these journals. Furthermore, long-term solutions will necessitate advancements in technological development to combat this evolving problem effectively.

Open Access: Yes

DOI: 10.1016/j.ejim.2025.106450

A Decade in Hijacked Journals: What Will be the Future Trend?

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs

Publication Name: Advanced Pharmaceutical Bulletin

Publication Date: 2024-01-01

Volume: 14

Issue: 4

Page Range: 722-728

Description:

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.

Open Access: Yes

DOI: 10.34172/apb.44002

Unmasking Greenwashing: Mapping Hijacked Medicine Journals to the Sustainable Development Goals

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs

Publication Name: Advanced Pharmaceutical Bulletin

Publication Date: 2024-01-01

Volume: 14

Issue: 4

Page Range: 729-736

Description:

Purpose: Hijacked journals are journals managed by cybercriminals that mimic the original journal and publish manuscripts without peer review, charging a fee to the author. Although there is literature on hijacked journals, there is a gap in the content of published papers in the hijacked journals. This study aims to analyze the content of published papers in hijacked journals to assess their alignment with various Sustainable Development Goals (SDGs). Methods: About 21 medicine journals have been investigated and about 3300 published manuscripts in them analyzed in terms of SDGs using the text-based analyzing method. Results: The findings indicated that published manuscripts fit in the categories of SDG 01, SDG 03, SDG 11, and SDG 16 where SDG-03 is most dominant. Conclusion: The awareness about the problem of hijacked journals is critical, especially for developing countries, to eliminate the negative effects of these journals. It is the first research that discusses the negative effect of hijacked journals by considering SDGs and sheds light on the phenomenon.

Open Access: Yes

DOI: 10.34172/apb.43763

Detecting New Hijacked Journals by Using a List of Known Hijacked Journals and the Diagnosis of Web Domain Data

Raghu Raman Mehdi Dadkhah Mihály Hegedűs Marilyn H. Oermann Lóránt Dénes Dávid

Publication Name: Serials Review

Publication Date: 2024-01-01

Volume: 50

Issue: 3-4

Page Range: 91-96

Description:

Academia has faced the challenge of emerging hijacked journals, which create a fake website for a legitimate journal by copying its name, ISSN, and other metadata. Authors submitting a manuscript to a hijacked journal would not recognize that the journal website was for a hijacked journal instead of the legitimate one. There are various methods for detecting hijacked journals that are usable by information technology savvy researchers. Detected hijacked journals through use of these methods are usually then added to hijacked journals blacklists. This paper presents a new method for hijacked journals detection that uses the web domain data and list of known hijacked journals to identify new ones. By implementing this method, nine new hijacked journals were identified. This method can be used for detecting new hijacked journals and preventing additional victims–authors who submit papers to the hijacked instead of the legitimate journal.

Open Access: Yes

DOI: 10.1080/00987913.2024.2411664