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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:

Comparative analysis of large language models in the Royal College of Ophthalmologists fellowship exams
Raffaele Raimondi, Nikolaos Tzoumas, Thomas Salisbury, et al.
Eye (2023) Vol. 37, Iss. 17, pp. 3530-3533
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard
Zhi Wei Lim, Krithi Pushpanathan, Samantha Min Er Yew, et al.
EBioMedicine (2023) Vol. 95, pp. 104770-104770
Open Access | Times Cited: 189
Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology
Andrea Taloni, Massimiliano Borselli, Valentina Scarsi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 62
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: 60
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: 57
Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries
Krithi Pushpanathan, Zhi Wei Lim, Samantha Min Er Yew, et al.
iScience (2023) Vol. 26, Iss. 11, pp. 108163-108163
Open Access | Times Cited: 51
ChatGPT in ophthalmology: the dawn of a new era?
Darren Shu Jeng Ting, Ting Fang Tan, Daniel Shu Wei Ting
Eye (2023) Vol. 38, Iss. 1, pp. 4-7
Open Access | Times Cited: 48
Performance of Large Language Models (ChatGPT, Bing Search, and Google Bard) in Solving Case Vignettes in Physiology
Anup Kumar D Dhanvijay, Mohammed Jaffer Pinjar, Nitin Dhokane, et al.
Cureus (2023)
Open Access | Times Cited: 48
Performance of ChatGPT in Diagnosis of Corneal Eye Diseases
Mohammad Delsoz, Yeganeh Madadi, Hina Raja, et al.
Cornea (2024) Vol. 43, Iss. 5, pp. 664-670
Open Access | Times Cited: 35
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: 30
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: 28
Google Gemini and Bard artificial intelligence chatbot performance in ophthalmology knowledge assessment
Andrew Mihalache, Justin Grad, Nikhil S. Patil, et al.
Eye (2024) Vol. 38, Iss. 13, pp. 2530-2535
Closed Access | Times Cited: 23
Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases
Daniel Milad, Fares Antaki, Jason Milad, et al.
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1398-1405
Open Access | Times Cited: 18
The Comparison of ChatGPT 3.5, Microsoft Bing, and Google Gemini for Diagnosing Cases of Neuro-Ophthalmology
Ruchi Shukla, Ashutosh K Mishra, Nilakshi Banerjee, et al.
Cureus (2024)
Open Access | Times Cited: 18
Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment
U Hin Lai, Keng Sam Wu, Ting-Yu Hsu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 41
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering
Fares Antaki, Daniel Milad, Mark A. Chia, et al.
British Journal of Ophthalmology (2023) Vol. 108, Iss. 10, pp. 1371-1378
Open Access | Times Cited: 36
Unveiling the clinical incapabilities: a benchmarking study of GPT-4V(ision) for ophthalmic multimodal image analysis
Pusheng Xu, Xiaolan Chen, Ziwei Zhao, et al.
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1384-1389
Open Access | Times Cited: 13
Comparing generative and retrieval-based chatbots in answering patient questions regarding age-related macular degeneration and diabetic retinopathy
Kai Xiong Cheong, C F Zhang, Tien‐En Tan, et al.
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1443-1449
Open Access | Times Cited: 12
Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities
Mertcan Sevgi, Fares Antaki, Pearse A. Keane
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1354-1361
Open Access | Times Cited: 11
Recommendations for initial diabetic retinopathy screening of diabetic patients using large language model-based artificial intelligence in real-life case scenarios
Nikhil Gopalakrishnan, Aishwarya Joshi, Jay Chhablani, et al.
International Journal of Retina and Vitreous (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 9
Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank
Go Un Lee, Dae Young Hong, Sin Young Kim, et al.
Medicine (2024) Vol. 103, Iss. 9, pp. e37325-e37325
Open Access | Times Cited: 9
Comparing ChatGPT and clinical nurses’ performances on tracheostomy care: A cross-sectional study
Tongyao Wang, Juan Mu, Jialing Chen, et al.
International Journal of Nursing Studies Advances (2024) Vol. 6, pp. 100181-100181
Open Access | Times Cited: 8
Performance of ChatGPT in Board Examinations for Specialists in the Japanese Ophthalmology Society
Daiki Sakai, Tadao Maeda, Atsuta Ozaki, et al.
Cureus (2023)
Open Access | Times Cited: 21
Evaluation of Large language model performance on the Multi-Specialty Recruitment Assessment (MSRA) exam
Panagiotis Tsoutsanis, Aristotelis Tsoutsanis
Computers in Biology and Medicine (2023) Vol. 168, pp. 107794-107794
Closed Access | Times Cited: 18
Utilization of generative AI for the characterization and identification of visual unknowns
Kara Combs, Trevor Bihl, Subhashini Ganapathy
Natural Language Processing Journal (2024) Vol. 7, pp. 100064-100064
Open Access | Times Cited: 7
Understanding natural language: Potential application of large language models to ophthalmology
Zefeng Yang, Biao Wang, Fengqi Zhou, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100085-100085
Open Access | Times Cited: 7
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