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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:

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: 1321

Showing 1-25 of 1321 citing articles:

Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
John W. Ayers, Adam Poliak, Mark Dredze, et al.
JAMA Internal Medicine (2023) Vol. 183, Iss. 6, pp. 589-589
Open Access | Times Cited: 1250
A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 653
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
Luigi De Angelis, Francesco Baglivo, Guglielmo Arzilli, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 410
The future landscape of large language models in medicine
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 393
Evaluating the Performance of ChatGPT in Ophthalmology
Fares Antaki, Samir Touma, Daniel Milad, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100324-100324
Open Access | Times Cited: 324
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
Fabrizio Dell’Acqua, Edward McFowland, Ethan Mollick, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 287
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 283
Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine
Stefan Harrer
EBioMedicine (2023) Vol. 90, pp. 104512-104512
Open Access | Times Cited: 280
GPT understands, too
Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.
AI Open (2023) Vol. 5, pp. 208-215
Open Access | Times Cited: 232
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: 156
Adapted large language models can outperform medical experts in clinical text summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1134-1142
Open Access | Times Cited: 154
Evaluating large language models on medical evidence summarization
Liyan Tang, Zhaoyi Sun, Betina Idnay, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 148
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu, et al.
Health care science (2023) Vol. 2, Iss. 4, pp. 255-263
Open Access | Times Cited: 126
Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration
Ping Yu, Hua Xu, Xia Hu, et al.
Healthcare (2023) Vol. 11, Iss. 20, pp. 2776-2776
Open Access | Times Cited: 115
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6074-6087
Open Access | Times Cited: 113
A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 112
Artificial Intelligence and Public Health: Evaluating ChatGPT Responses to Vaccination Myths and Misconceptions
Giovanna Deiana, Marco Dettori, Antonella Arghittu, et al.
Vaccines (2023) Vol. 11, Iss. 7, pp. 1217-1217
Open Access | Times Cited: 109
Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications
Rajesh Bhayana
Radiology (2024) Vol. 310, Iss. 1
Closed Access | Times Cited: 104
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: 102
Large Language Models in Medicine: The Potentials and Pitfalls
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 2, pp. 210-220
Open Access | Times Cited: 99
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: 97
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, et al.
Diagnostic and Interventional Radiology (2023) Vol. 30, Iss. 2, pp. 80-90
Open Access | Times Cited: 93
Evaluation of the performance of GPT-3.5 and GPT-4 on the Polish Medical Final Examination
Maciej Rosoł, Jakub S. Gąsior, Jonasz Łaba, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 87
Conversational AI Models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel Pro Differential Diagnosis Generator
Michael Balas, Edsel Ing
JFO Open Ophthalmology (2023) Vol. 1, pp. 100005-100005
Open Access | Times Cited: 83
Accelerating the integration of ChatGPT and other large‐scale AI models into biomedical research and healthcare
Ding‐Qiao Wang, Long‐Yu Feng, Jinguo Ye, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 80
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