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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 will not replace healthcare professionals: curbing popular fears and hype
Arun James Thirunavukarasu
Journal of the Royal Society of Medicine (2023) Vol. 116, Iss. 5, pp. 181-182
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1310
Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology
Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100394-100394
Open Access | Times Cited: 53
The application of large language models in medicine: A scoping review
Xiangbin Meng, Xiangyu Yan, Kuo Zhang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109713-109713
Open Access | Times Cited: 52
Performance of ChatGPT on the Peruvian National Licensing Medical Examination: Cross-Sectional Study
Javier A. Flores-Cohaila, Abigaíl García-Vicente, Sonia F Vizcarra-Jiménez, et al.
JMIR Medical Education (2023) Vol. 9, pp. e48039-e48039
Open Access | Times Cited: 49
Utility of artificial intelligence‐based large language models in ophthalmic care
Sayantan Biswas, Leon N. Davies, Amy L. Sheppard, et al.
Ophthalmic and Physiological Optics (2024) Vol. 44, Iss. 3, pp. 641-671
Open Access | Times Cited: 29
Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
Arun James Thirunavukarasu, Shathar Mahmood, Andrew Malem, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 4, pp. e0000341-e0000341
Open Access | Times Cited: 23
Multimodal Large Language Models in Healthcare: Applications, Challenges, and Future Outlook (Preprint)
Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e59505-e59505
Open Access | Times Cited: 16
Artificial intelligence and digital health in global eye health: opportunities and challenges
Ting Fang Tan, Arun James Thirunavukarasu, Liyuan Jin, et al.
The Lancet Global Health (2023) Vol. 11, Iss. 9, pp. e1432-e1443
Closed Access | Times Cited: 37
Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers
Faye Yu Ci Ng, Arun James Thirunavukarasu, Haoran Cheng, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 10, pp. 101230-101230
Open Access | Times Cited: 27
Evaluation of GPT-4 for 10-year cardiovascular risk prediction: Insights from the UK Biobank and KoGES data
Changho Han, Dong Won Kim, Songsoo Kim, et al.
iScience (2024) Vol. 27, Iss. 2, pp. 109022-109022
Open Access | Times Cited: 12
Generative artificial intelligence in healthcare from the perspective of digital media: Applications, opportunities and challenges
Rui Xu, Zhong Wang
Heliyon (2024) Vol. 10, Iss. 12, pp. e32364-e32364
Open Access | Times Cited: 7
Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial
Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutiérrez, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e49949-e49949
Open Access | Times Cited: 17
AI in Rehabilitation Medicine: Opportunities and Challenges
Francesco Lanotte, Megan K. O’Brien, Arun Jayaraman
Annals of Rehabilitation Medicine (2023) Vol. 47, Iss. 6, pp. 444-458
Open Access | Times Cited: 17
The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physicians
Ian Scott, Guido Zuccon
Internal Medicine Journal (2024) Vol. 54, Iss. 5, pp. 705-715
Open Access | Times Cited: 5
Large Language Models for Chatbot Health Advice Studies
Bright Huo, A. P. Boyle, Nana Marfo, et al.
JAMA Network Open (2025) Vol. 8, Iss. 2, pp. e2457879-e2457879
Open Access
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
Can large language models’ clinical decision-making match human consensus on when to perform a kidney biopsy? (Preprint)
Michael Toal, Christopher Hill, Michael Quinn, et al.
(2025)
Closed Access
Leveraging ChatGPT for Real-Time Decision-Making in Autonomous Systems
Gurjeet Singh
Eduzone International peer reviewed/refereed academic multidisciplinary journal (2023) Vol. 12, Iss. 02, pp. 101-106
Open Access | Times Cited: 14
ChatGPT’s performance in dentistry and allergyimmunology assessments: a comparative study
Alexander Fuchs, Tina Trachsel, Roland Weiger, et al.
SWISS DENTAL JOURNAL SSO – Science and Clinical Topics (2023) Vol. 134, Iss. 2, pp. 1-17
Open Access | Times Cited: 14
Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment
Thomas Savage, John Wang, Robert J. Gallo, et al.
Journal of the American Medical Informatics Association (2024)
Open Access | Times Cited: 4
Revolutionizing Healthcare: The Transformative Impact of LLMs in Medicine (Preprint)
Kuo Zhang, Xiangbin Meng, Xiangyu Yan, et al.
Journal of Medical Internet Research (2024) Vol. 27, pp. e59069-e59069
Open Access | Times Cited: 3
Accuracy and reliability of self-administered visual acuity tests: Systematic review of pragmatic trials
Arun James Thirunavukarasu, Refaat Hassan, Aaron Limonard, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0281847-e0281847
Open Access | Times Cited: 9
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data
Wei-Chun Lin, Aiyin Chen, Xubo Song, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 2, pp. 456-464
Open Access | Times Cited: 8
The false promise of individual digital sovereignty in Europe: Comparing artificial intelligence and data regulations in China and the European Union
Riccardo Nanni, Pietro Giovanni Bizzaro, Maurizio Napolitano
Policy & Internet (2024)
Open Access | Times Cited: 2
ChatGPT and healthcare—current and future prospects
Derek Van Booven, Cheng-Bang Chen
Elsevier eBooks (2024), pp. 173-193
Closed Access | Times Cited: 2
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