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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:

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

Showing 18 citing articles:

The Performance of Artificial Intelligence-based Large Language Models on Ophthalmology-related Questions in Swedish Proficiency Test for Medicine: ChatGPT-4 omni vs Gemini 1.5 Pro
Mehmet Cem Sabaner, Arzu Seyhan Karatepe, Kemal Mert Mutibayraktaroglu, et al.
Deleted Journal (2024), pp. 100070-100070
Open Access | Times Cited: 4
Assessing the performance of Microsoft Copilot, GPT-4 and Google Gemini in ophthalmology
Meziane Silhadi, Wissam B. Nassrallah, David Mikhail, et al.
Canadian Journal of Ophthalmology (2025)
Open Access
Assessing online chat-based artificial intelligence models for weight loss recommendation appropriateness and bias in the presence of guideline incongruence
Eugene Annor, Joseph Atarere, Nneoma Ubah, et al.
International Journal of Obesity (2025)
Closed Access
Comparison of ChatGPT-4o, Google Gemini 1.5 Pro, Microsoft Copilot Pro, and Ophthalmologists in the management of uveitis and ocular inflammation: A comparative study of large language models
Senol Demir
Journal Français d Ophtalmologie (2025) Vol. 48, Iss. 4, pp. 104468-104468
Closed Access
Handling language prior and compositional reasoning issues in visual question answering system
Souvik Chowdhury, Badal Soni
Neurocomputing (2025), pp. 129906-129906
Closed Access
Science Mapping of the Knowledge Base on the Effects of Artifcial Intelligence (AI)-Based Chatbots on Student Learning Outcomes: A Bibliometric Study
Turgut Karaköse, Hakan Polat
Studies in computational intelligence (2025), pp. 463-489
Closed Access
AI in Neuro-Ophthalmology: Current Practice and Future Opportunities
Rachel Kenney, Tim Requarth, Alani Jack, et al.
Journal of Neuro-Ophthalmology (2024) Vol. 44, Iss. 3, pp. 308-318
Closed Access | Times Cited: 3
Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images
Stefan‐Lucian Popa, Teodora Surdea‐Blaga, Dan L. Dumitraşcu, et al.
Medicina (2024) Vol. 60, Iss. 9, pp. 1493-1493
Open Access | Times Cited: 3
Artificial Intelligence’s Performance on the Japanese National Dental Examination
Tatsuya Akitomo, Masakazu Hamada, Yasuko Tsuge, et al.
Cureus (2024)
Open Access | Times Cited: 2
Opportunities and Challenges of Chatbots in Ophthalmology: A Narrative Review
Mehmet Cem Sabaner, Rodrigo Anguita, Fares Antaki, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 12, pp. 1165-1165
Open Access | Times Cited: 2
Comparison of Gemini Advanced and ChatGPT 4.0’s Performances on the Ophthalmology Resident Ophthalmic Knowledge Assessment Program (OKAP) Examination Review Question Banks
Gurnoor S Gill, Joby Tsai, Jillene Moxam, et al.
Cureus (2024)
Open Access | Times Cited: 1
Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots
Süleyman Demir
Health Informatics Journal (2024) Vol. 30, Iss. 4
Open Access | Times Cited: 1
Unveiling the Potential: ChatGPT's Impact on Vestibular Rehabilitation Education - Trust, Learning, and Value
Yael Arbel, Yoav Gimmon, Liora Shmueli
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Chatbots in neurology and neuroscience: interactions with students, patients and neurologists
Stefano Sandrone
Brain Disorders (2024) Vol. 15, pp. 100145-100145
Open Access
Accuracy of Different Generative Artificial Intelligence Models in Medical Question Answering: A Systematic Review and Network Meta-Analysis
Ling Wang, Jinglin Li, Boyang Zhuang, et al.
(2024)
Closed Access
Evaluating Artificial Intelligence (AI)-Generated Patient Education Guides on Epilepsy: A Cross-Sectional Study of ChatGPT and Google Gemini
Shilpa Arora, Maya Ramesh, Anders Moe, et al.
Cureus (2024)
Open Access
Evaluating ChatGPT’s Diagnostic Accuracy in Detecting Fundus Images
Ayushi Gupta, Hussein Al-Kazwini
Cureus (2024)
Open Access
Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug‐Related Information
Dantony de Castro Barros Donato, Guilherme José Aguilar, Lucas Gaspar Ribeiro, et al.
Journal of Evaluation in Clinical Practice (2024) Vol. 31, Iss. 1
Closed Access
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