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:

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

Showing 23 citing articles:

Performance of the ChatGPT-3.5, ChatGPT-4, and Google Gemini large language models in responding to dental implantology inquiries
Noha Taymour, Shaimaa M. Fouda, Hams H. Abdelrahaman, et al.
Journal of Prosthetic Dentistry (2025)
Closed Access | Times Cited: 2

The future of AI clinicians: assessing the modern standard of chatbots and their approach to diagnostic uncertainty
Ryan S. Huang, Ali Benour, Joel Kemppainen, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6

Comparative Evaluation of AI Models Such as ChatGPT 3.5, ChatGPT 4.0, and Google Gemini in Neuroradiology Diagnostics
Rishi Gupta, Abdullgabbar M Hamid, Miral D. Jhaveri, et al.
Cureus (2024)
Open Access | Times Cited: 5

Comparative performance analysis of large language models: ChatGPT-3.5, ChatGPT-4 and Google Gemini in glucocorticoid-induced osteoporosis
Linjian Tong, Chaoyang Zhang, Rui Liu, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 4

Evaluating the Accuracy of Advanced Language Learning Models in Ophthalmology: A Comparative Study of ChatGPT-4o and Meta AI’s Llama 3.1
Trevor Lin, Ryan T.K. Lin, Rahul Mhaskar, et al.
Advances in Ophthalmology Practice and Research (2025)
Open Access

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

Quality of Chatbot Responses to the Most Popular Questions Regarding Erectile Dysfunction
İrfan Şafak Barlas, Lütfi Tunç
Urology Research and Practice (2025) Vol. 50, Iss. 4, pp. 253-260
Open Access

Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study
Yuepeng Wu, Yukang Zhang, Mei Xu, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access

Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots
Himel Mondal, Devendra Nath Tiu, Shaikat Mondal, et al.
Journal of Mid-life Health (2025) Vol. 16, Iss. 1, pp. 45-50
Open Access

Harnessing advanced large language models in otolaryngology board examinations: an investigation using python and application programming interfaces
Cosima C. Hoch, Paul F. Funk, Orlando Guntinas‐Lichius, et al.
European Archives of Oto-Rhino-Laryngology (2025)
Open 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

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

ChatGPT and the German board examination for ophthalmology: an evaluation
Rémi Yaïci, M. Cieplucha, Robert M. Bock, et al.
Deleted Journal (2024) Vol. 121, Iss. 7, pp. 554-564
Closed Access | Times Cited: 1

Unveiling livestock trade trends: A beginner's guide to generative AI-powered visualization
Yoshiyasu Takefuji
Research in Veterinary Science (2024) Vol. 180, pp. 105435-105435
Closed Access | Times Cited: 1

Adversarial generation method for smart contract fuzz testing seeds guided by chain-based LLM
Jiaze Sun, Zhiqiang Yin, Hengshan Zhang, et al.
Automated Software Engineering (2024) Vol. 32, Iss. 1
Closed Access | Times Cited: 1

Hello AI: Is it Time for A Revolutionary Change in the Health Professional Education System?
Waqar M. Naqvi, Gaurav Mishra
European Journal of Therapeutics (2024) Vol. 30, Iss. 3, pp. e28-e29
Open Access

Adversarial Generation Method for Smart Contract Fuzz Testing Seeds Guided by Chain-Based LLM
Jiaze Sun, Zhiqiang Yin, Hengshan Zhang, et al.
Research Square (Research Square) (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

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

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