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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:

What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams
Di Jin, Eileen Pan, Nassim Oufattole, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6421-6421
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 2, pp. e0000198-e0000198
Open Access | Times Cited: 2406
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Aidan Gilson, Conrad Safranek, Thomas Huang, et al.
JMIR Medical Education (2023) Vol. 9, pp. e45312-e45312
Open Access | Times Cited: 1433
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 172-180
Open Access | Times Cited: 1432
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Anjanava Biswas, Wrick Talukdar
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 994-1008
Open Access | Times Cited: 978
LinkBERT: Pretraining Language Models with Document Links
Michihiro Yasunaga, Jure Leskovec, Percy Liang
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 195
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 173
Neural Natural Language Processing for unstructured data in electronic health records: A review
Irene Li, Jessica Pan, Jeremy Goldwasser, et al.
Computer Science Review (2022) Vol. 46, pp. 100511-100511
Open Access | Times Cited: 133
ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions
Cosima C. Hoch, Barbara Wollenberg, Jan-Christoffer Lüers, et al.
European Archives of Oto-Rhino-Laryngology (2023) Vol. 280, Iss. 9, pp. 4271-4278
Open Access | Times Cited: 119
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Hother, Andreas Geert Motzfeldt, et al.
Patterns (2024) Vol. 5, Iss. 3, pp. 100943-100943
Open Access | Times Cited: 118
AI chatbots not yet ready for clinical use
Joshua Au Yeung, Željko Kraljević, Akish Luintel, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 101
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Paul Hager, Friederike Jungmann, Robbie Holland, et al.
Nature Medicine (2024) Vol. 30, Iss. 9, pp. 2613-2622
Open Access | Times Cited: 100
Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI
Hongyan Wang, WeiZhen Wu, Zhi Dou, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105173-105173
Closed Access | Times Cited: 97
PMC-LLaMA: toward building open-source language models for medicine
Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 1833-1843
Open Access | Times Cited: 76
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 65
Evaluating the Sensitivity, Specificity, and Accuracy of ChatGPT-3.5, ChatGPT-4, Bing AI, and Bard Against Conventional Drug-Drug Interactions Clinical Tools
Fahmi Y. Al-Ashwal, Mohammed Zawiah, Lobna Gharaibeh, et al.
Drug Healthcare and Patient Safety (2023) Vol. Volume 15, pp. 137-147
Open Access | Times Cited: 62
Performance of Large Language Models on a Neurology Board–Style Examination
Marc C. Schubert, Wolfgang Wick, Varun Venkataramani
JAMA Network Open (2023) Vol. 6, Iss. 12, pp. e2346721-e2346721
Open Access | Times Cited: 51
Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study
A. Meyer, Janik Riese, Thomas Streichert
JMIR Medical Education (2024) Vol. 10, pp. e50965-e50965
Open Access | Times Cited: 43
Toward expert-level medical question answering with large language models
K. K. Singhal, Tao Tu, Juraj Gottweis, et al.
Nature Medicine (2025)
Open Access | Times Cited: 38
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks
Ling Luo, Jinzhong Ning, Yingwen Zhao, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 9, pp. 1865-1874
Open Access | Times Cited: 25
ChatGPT’s Response Consistency: A Study on Repeated Queries of Medical Examination Questions
Paul F. Funk, Cosima C. Hoch, Samuel Knoedler, et al.
European Journal of Investigation in Health Psychology and Education (2024) Vol. 14, Iss. 3, pp. 657-668
Open Access | Times Cited: 21
Vision-language models for medical report generation and visual question answering: a review
Iryna Hartsock, Ghulam Rasool
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 21
Can ChatGPT pass the MRCP (UK) written examinations? Analysis of performance and errors using a clinical decision-reasoning framework
A. Maitland, Ross Fowkes, Stuart Maitland
BMJ Open (2024) Vol. 14, Iss. 3, pp. e080558-e080558
Open Access | Times Cited: 19
An evaluation framework for clinical use of large language models in patient interaction tasks
Shreya Johri, Jae‐Hwan Jeong, Benjamin A. Tran, et al.
Nature Medicine (2025)
Closed Access | Times Cited: 11
Medical large language models are vulnerable to data-poisoning attacks
Daniel Alber, Zihao Yang, Anton Alyakin, et al.
Nature Medicine (2025)
Open Access | Times Cited: 10
Towards conversational diagnostic artificial intelligence
Tao Tu, Mike Schaekermann, Anil Palepu, et al.
Nature (2025)
Open Access | Times Cited: 7
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