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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Sun
(2023), pp. 12-24
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences
Jairo F. Gudiño, Umberto Grandi, César A. Hidalgo
(2019)
Closed Access | Times Cited: 271
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
High-Confidence Computing (2024) Vol. 4, Iss. 2, pp. 100211-100211
Open Access | Times Cited: 185
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
Inyoung Cheong, King Xia, K. J. Kevin Feng, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 67, pp. 2454-2469
Open Access | Times Cited: 14
Algorithmic bias: sexualized violence against women in GPT-3 models
Sarah Wyer, Sue Black
AI and Ethics (2025)
Open Access | Times Cited: 1
Rethinking machine unlearning for large language models
Sijia Liu, Yuanshun Yao, Jinghan Jia, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
Fluent but Not Factual: A Comparative Analysis of ChatGPT and Other AI Chatbots’ Proficiency and Originality in Scientific Writing for Humanities
Edisa Lozić, Benjamin Štular
Future Internet (2023) Vol. 15, Iss. 10, pp. 336-336
Open Access | Times Cited: 33
How understanding large language models can inform the use of ChatGPT in physics education
Giulia Polverini, Bor Gregorcic
European Journal of Physics (2023) Vol. 45, Iss. 2, pp. 025701-025701
Open Access | Times Cited: 32
Utilizing large language models in breast cancer management: systematic review
Vera Sorin, Benjamin S. Glicksberg, Yaara Artsi, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 3
Open Access | Times Cited: 11
ChatGPT as Research Scientist: Probing GPT’s capabilities as a Research Librarian, Research Ethicist, Data Generator, and Data Predictor
Steven A. Lehr, Aylin Caliskan, S P Liyanage, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 35
Open Access | Times Cited: 11
Natural language processing in the era of large language models
Arkaitz Zubiaga
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 10
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu, Zichong Wang, Wenbin Zhang
ACM SIGKDD Explorations Newsletter (2024) Vol. 26, Iss. 1, pp. 34-48
Open Access | Times Cited: 9
Bias in medical AI: Implications for clinical decision-making
James M. Cross, Michael A. Choma, John A. Onofrey
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000651-e0000651
Open Access | Times Cited: 9
The long but necessary road to responsible use of large language models in healthcare research
Jethro C.C. Kwong, Serena Wang, Grace C. Nickel, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 17
The life cycle of large language models in education: A framework for understanding sources of bias
Jin-Sook Lee, Yann Hicke, Renzhe Yu, et al.
British Journal of Educational Technology (2024) Vol. 55, Iss. 5, pp. 1982-2002
Closed Access | Times Cited: 6
Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Text
AJ Alvero, Jin-Sook Lee, Alejandra Regla-Vargas, et al.
(2024)
Open Access | Times Cited: 5
Data Feminism for AI
Lauren Klein, Catherine D’Ignazio
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 1989, pp. 100-112
Open Access | Times Cited: 5
Gender stereotypes in artificial intelligence within the accounting profession using large language models
Kelvin Leong, Anna Sung
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Large language models act as if they are part of a group
Germans Savcisens
Nature Computational Science (2025)
Closed Access
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law
Meike Zehlike, Alex J. Loosley, Håkan Jönsson, et al.
Artificial Intelligence (2025), pp. 104280-104280
Open Access
Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback
Taufiq Daryanto, Xiaohan Ding, Lance Wilhelm, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 1, pp. 1-32
Open Access
Dynamics of Scope Ambiguities: Comparative Analysis of Human and GPT Model Performance in Korean
Myung Hye Yoo, Sanghoun Song
(2025)
Closed Access
Gender-essentialist beliefs and the gender gap in STEM: Evidence on the gender-essentialism theory
Elena De Gioannis
Quality & Quantity (2025)
Open Access
Body camera footage as data: Using natural language processing to monitor policing at scale & in depth
Nicholas P. Camp, Rob Voigt
Behavioral Science & Policy (2025)
Closed Access
A Survey on Multimodal Large Language Models in Radiology for Report Generation and Visual Question Answering
Ziruo Yi, Ting Xiao, Mark V. Albert
Information (2025) Vol. 16, Iss. 2, pp. 136-136
Open Access
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