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:

Exploring Diagnostic Precision and Triage Proficiency: A Comparative Study of GPT-4 and Bard in Addressing Common Ophthalmic Complaints
Roya Zandi, Joseph D. Fahey, Michael Drakopoulos, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 120-120
Open Access | Times Cited: 23

Showing 23 citing articles:

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

A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok
Ketmanto Wangsa, Shakir Karim, Ergun Gide, et al.
Future Internet (2024) Vol. 16, Iss. 7, pp. 219-219
Open Access | Times Cited: 5

Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions
Han Wang, Xudong Jiang, Peijin Zeng, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access

Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with “clinical profile” prompts
Han Wang, Jianhua Cui, Simon Ming‐Yuen Lee, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
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

Performance of the Generative Artificial Intelligence Chatbot in Ophthalmic Registration and Clinical Diagnosis: a Cross-sectional Study (Preprint)
Shuai Ming, Xi Yao, Xiaohong Guo, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60226-e60226
Open Access | Times Cited: 3

Exploring the potential of artificial intelligence models for triage in the emergency department
Fatma Tortum, Kamber Kaşalı
Postgraduate Medicine (2024) Vol. 136, Iss. 8, pp. 841-846
Closed Access | Times Cited: 3

Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review
Cindy Ho, Tiffany Tian, Alessandra T. Ayers, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3

Students’ Perspectives on the Application of a Generative Pre-Trained Transformer (GPT) in Chemistry Learning: A Case Study in Indonesia
Ananta Ardyansyah, Agung Budhi Yuwono, Sri Rahayu, et al.
Journal of Chemical Education (2024) Vol. 101, Iss. 9, pp. 3666-3675
Closed Access | Times Cited: 2

Applications of ChatGPT in the diagnosis, management, education, and research of retinal diseases: a scoping review
Victor C. F. Bellanda, Manuel Filipe Santos, Daniel Ferraz, et al.
International Journal of Retina and Vitreous (2024) Vol. 10, Iss. 1
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

Diagnostic Performance of ChatGPT to perform emergency department triage: A systematic review and meta-analysis
Navid Kaboudi, Saeedeh Firouzbakht, Mohammad Shahir Eftekhar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Enhancing Public Healthcare with IoT and AI: A Comprehensive Study on Improving Dry Eye Disease Diagnosis
Han Wang, Peijin Zeng, X. Y. Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Evaluating the accuracy and reproducibility of ChatGPT-4 in answering patient questions related to small intestinal bacterial overgrowth
Lauren Schlussel, Jamil S. Samaan, Yin Yin Chan, et al.
Artificial Intelligence in Gastroenterology (2024) Vol. 5, Iss. 1
Open Access

The Use of Artificial Intelligence Based Chat Bots in Ophthalmology Triage
Daniel David, Ofira Zloto, Gabriel Katz, et al.
Research Square (Research Square) (2024)
Open Access

Artificial intelligence applications in cataract and refractive surgeries
Radhika Rampat, Guillaume Debellemanière, Damien Gatinel, et al.
Current Opinion in Ophthalmology (2024)
Closed Access

ChatGPT provides acceptable responses to patient questions regarding common shoulder pathology
Umar Ghilzai, Benjamin Fiedler, Abdullah Ghali, et al.
Shoulder & Elbow (2024)
Closed Access

An Evaluation on the Potential of Large Language Models for Use in Trauma Triage
Kelvin Le, Jiahang Chen, Deon Mai, et al.
Emergency Care and Medicine (2024) Vol. 1, Iss. 4, pp. 350-367
Open Access

The use of artificial intelligence based chat bots in ophthalmology triage
Daniel David, Ofira Zloto, Gabriel Katz, et al.
Eye (2024)
Open Access

Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study
Josep M. Badía, Daniel Casanova-Portoles, Estela Membrilla, et al.
Journal of Infection and Public Health (2024) Vol. 18, Iss. 2, pp. 102627-102627
Open Access

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