Yongyuan He
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yongyuan He has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Yi Bu
Department of Information Management Peking University Beijing China
2 shared publications
Latest Publications
- Open Access
- 29 June 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (27)
Reply to Wang: Policy failure can be assessed from observed outcomes
- 29 June 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (27)
Open AccessReply to Wang: Policy failure can be assessed from observed outcomes
- Top Cited PapersOpen Access
- 24 February 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (9)
Academic journals’ AI policies fail to curb the surge in AI-assisted academic writing
The rapid integration of generative AI into academic writing has prompted widespread policy responses from journals and publishers. However, the effectiveness of these policies remains unclear. Here, we analyze 5,114 journals and over 5.2 million papers to evaluate the real-world impact of AI usage guidelines. We show that despite 70% of journals adopting AI policies (primarily requiring disclosure), researchers’ use of AI writing tools has increased dramatically across disciplines, with no significant difference between journals with or without policies. Non-English-speaking countries, physical sciences, and high-OA journals exhibit the highest growth rates. Crucially, full-text analysis on 164 k scientific publications reveals a striking transparency gap: Of the 75 k papers published since 2023, only 76 (~0.1%) explicitly disclosed AI use. Our findings suggest that current policies have largely failed to promote transparency or restrain AI adoption. We urge a reevaluation of ethical frameworks to foster responsible AI integration in science.
- 24 February 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (9)
Top Cited PapersOpen AccessAcademic journals’ AI policies fail to curb the surge in AI-assisted academic writing
The rapid integration of generative AI into academic writing has prompted widespread policy responses from journals and publishers. However, the effectiveness of these policies remains unclear. Here, we analyze 5,114 journals and over 5.2 million papers to evaluate the real-world impact of AI usage guidelines. We show that despite 70% of journals adopting AI policies (primarily requiring disclosure), researchers’ use of AI writing tools has increased dramatically across disciplines, with no significant difference between journals with or without policies. Non-English-speaking countries, physical sciences, and high-OA journals exhibit the highest growth rates. Crucially, full-text analysis on 164 k scientific publications reveals a striking transparency gap: Of the 75 k papers published since 2023, only 76 (~0.1%) explicitly disclosed AI use. Our findings suggest that current policies have largely failed to promote transparency or restrain AI adoption. We urge a reevaluation of ethical frameworks to foster responsible AI integration in science.