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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:

Can ChatGPT Aid Clinicians in Educating Patients on the Surgical Management of Glaucoma?
Reza Kianian, Deyu Sun, JoAnn A. Giaconi
Journal of Glaucoma (2023) Vol. 33, Iss. 2, pp. 94-100
Closed Access | Times Cited: 17

Showing 17 citing articles:

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
The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation
S. Williamson, Victor R. Prybutok
Information (2024) Vol. 15, Iss. 6, pp. 299-299
Open Access | Times Cited: 16
Using ChatGPT-4 in visual field test assessment
Gülşah Gümüş, Çiğdem Altan, Ali Safa Balcı, et al.
Clinical and Experimental Optometry (2025), pp. 1-6
Closed Access | Times Cited: 1
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: 5
Combating Digital Election Fraud
Usharani Bhimavarapu
IGI Global eBooks (2025), pp. 103-120
Closed Access
An Analysis of ChatGPT4 to Respond to Glaucoma-Related Questions
Süleyman Gökhan Kerci, Berna Şahan
Journal of Glaucoma (2024) Vol. 33, Iss. 7, pp. 486-489
Closed Access | Times Cited: 4
Examination of the Quality and Readability of Chatbot Responses to Patient Questions: A Synthesis of Recent Studies (Preprint)
Peter Whittaker, Mengyan Sun
(2025)
Closed Access
Vision of the future: large language models in ophthalmology
Prashant D. Tailor, Haley S. D’Souza, Hanzhou Li, et al.
Current Opinion in Ophthalmology (2024) Vol. 35, Iss. 5, pp. 391-402
Closed Access | Times Cited: 2
Can Large Language Models Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology? (Preprint)
Reza Kianian, Deyu Sun, William Rojas‐Carabali, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e59843-e59843
Open Access | Times Cited: 2
Accuracy of Large Language Models in Answering Ophthalmology Board-Style Questions: A Meta-Analysis
Jo‐Hsuan Wu, Takashi Nishida, Tianming Liu
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 5, pp. 100106-100106
Open Access | Times Cited: 1
Acceptability and readability of ChatGPT-4 based responses for frequently asked questions about strabismus and amblyopia
Soner Güven, B Ayyildiz
Journal Français d Ophtalmologie (2024) Vol. 48, Iss. 3, pp. 104400-104400
Closed Access | Times Cited: 1
Can Large Language Models Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology? (Preprint)
Reza Kianian, Deyu Sun, William Rojas‐Carabali, et al.
(2024)
Closed Access
Will ChatGPT be Useful for Korean Neurologists in Clinical Practice?
Pan‐Woo Ko
Journal of the Korean Neurological Association (2024) Vol. 42, Iss. 3, pp. 233-240
Open Access
Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives
Shahin Hallaj, Benton Chuter, Alexander Lieu, et al.
Ophthalmology Glaucoma (2024)
Closed Access
Occupational Electronic Health Records (OEHRs): Recommendations for the Design and Implementation of Information Systems in Occupational and Environmental Medicine Practice – ACOEM Guidance Statement
Louis E. Fazen, Bill E Martin, Marcia Isakari, et al.
Journal of Occupational and Environmental Medicine (2024) Vol. 66, Iss. 11, pp. e614-e627
Closed Access
Large language models in ophthalmology: A review of publications from top ophthalmology journals
Akshay Agnihotri, Ines Nagel, Jose Carlo M Artiaga, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 3, pp. 100681-100681
Open Access
Unveiling the potential of large language models in transforming chronic disease management: A mixed-method systematic review (Preprint)
Caixia Li, Yina Zhao, Yang Bai, et al.
(2024)
Open Access
Unveiling the potential of large language models in transforming chronic disease management: A mixed-method systematic review (Preprint)
Caixia Li, Yina Zhao, Yang Bai, et al.
Journal of Medical Internet Research (2024)
Open Access
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