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 26-50 of 105 citing articles:

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

Bias, machine learning, and conceptual engineering
Rachel Etta Rudolph, Elay Shech, Michael Tamir
Philosophical Studies (2025)
Open Access

More is More: Addition Bias in Large Language Models
Luca Santagata, Cristiano De Nobili
Computers in Human Behavior Artificial Humans (2025), pp. 100129-100129
Open Access

Natural language processing for social science research: A comprehensive review
Yuxin Hou, Junming Huang
Chinese Journal of Sociology (2025)
Closed Access

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality
Kaixun Yang, Mladen Raković, Zhiping Liang, et al.
(2025), pp. 568-578
Open Access

Assessing and alleviating state anxiety in large language models
Ziv Ben‐Zion, Kristin Witte, Akshay K. Jagadish, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

Machine learning and AI techniques
Bin Li, Xiuxuan Sun, Somsubhra Chakraborty, et al.
Elsevier eBooks (2025), pp. 99-153
Closed Access

A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
Xinyi Li, S. Wang, Siqi Zeng, et al.
Vicinagearth. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4

The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in Hiring
Lena Armstrong, Abbey Liu, Stephen MacNeil, et al.
(2024), pp. 1-18
Open Access | Times Cited: 4

ReelFramer: Human-AI Co-Creation for News-to-Video Translation
Sitong Wang, Samia Menon, Tao Long, et al.
(2024), pp. 1-20
Open Access | Times Cited: 3

"I'm Sorry, but I Can't Assist": Bias in Generative AI
Julie Smith
(2024), pp. 75-80
Closed Access | Times Cited: 3

Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale
Ha Nguyen, Victoria Nguyen, Saríah López-Fierro, et al.
(2024), pp. 28-38
Closed Access | Times Cited: 3

Large Language Model Prompting Techniques for Advancement in Clinical Medicine
Krish Shah, Andrew Xu, Yatharth Sharma, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5101-5101
Open Access | Times Cited: 3

Cultural Bias in Large Language Models: A Comprehensive Analysis and Mitigation Strategies
Z Y Liu
Journal of Transcultural Communication (2024)
Closed Access | Times Cited: 3

Integrating LLMs into Database Systems Education
Kishore Prakash, S. V. N. Rao, Rayan Hamza, et al.
(2024), pp. 33-39
Closed Access | Times Cited: 2

Surprising gender biases in GPT
Raluca Alexandra Fulgu, Valerio Capraro
(2024)
Open Access | Times Cited: 2

Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs
Tanise Ceron, Neele Falk, Ana Barić, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1378-1400
Open Access | Times Cited: 2

A comprehensive survey of large language models and multimodal large language models in medicine
Hanguang Xiao, Feizhong Zhou, Xingyue Liu, et al.
Information Fusion (2024), pp. 102888-102888
Closed Access | Times Cited: 2

Applications of Large Language Models (LLMs) in Breast Cancer Care
Vera Sorin, Benjamin S. Glicksberg, Yiftach Barash, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

Future Shock: Generative AI and the International AI Policy and Governance Crisis
David Leslie, Antonella Perini
Harvard data science review (2024), Iss. Special Issue 5
Open Access | Times Cited: 1

Playgrounds and Prejudices: Exploring Biases in Generative AI For Children.
Alexander Baines, Lidia Gruia, Gail Collyer-Hoar, et al.
(2024) Vol. 35, pp. 839-843
Closed Access | Times Cited: 1

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