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:
Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology
Mingjie Luo, Jianyu Pang, Shaowei Bi, et al.
JAMA Ophthalmology (2024) Vol. 142, Iss. 9, pp. 798-798
Open Access | Times Cited: 8
Mingjie Luo, Jianyu Pang, Shaowei Bi, et al.
JAMA Ophthalmology (2024) Vol. 142, Iss. 9, pp. 798-798
Open Access | Times Cited: 8
Showing 8 citing articles:
Oculomics: Current Concepts and Evidence
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1
Fine-Tuning LLMs for Specialized Use Cases
D. M. Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 3, Iss. 1, pp. 100184-100184
Open Access | Times Cited: 5
D. M. Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 3, Iss. 1, pp. 100184-100184
Open Access | Times Cited: 5
Evaluating the Efficacy of Large Language Models in Guiding Treatment Decisions for Pediatric Refractive Error
Daohuan Kang, Hongkang Wu, Lu Yuan, et al.
Ophthalmology and Therapy (2025)
Open Access
Daohuan Kang, Hongkang Wu, Lu Yuan, et al.
Ophthalmology and Therapy (2025)
Open Access
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
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
Need for Custom Artificial Intelligence Chatbots in Ophthalmology
Andrew Mihalache, Marko Popović, Rajeev H. Muni
JAMA Ophthalmology (2024) Vol. 142, Iss. 9, pp. 806-806
Closed Access
Andrew Mihalache, Marko Popović, Rajeev H. Muni
JAMA Ophthalmology (2024) Vol. 142, Iss. 9, pp. 806-806
Closed Access
A look at the emerging trends of large language models in ophthalmology
Ting Fang Tan, Chrystie Wan Ning Quek, Joy Wong, et al.
Current Opinion in Ophthalmology (2024)
Closed Access
Ting Fang Tan, Chrystie Wan Ning Quek, Joy Wong, et al.
Current Opinion in Ophthalmology (2024)
Closed Access
Artificial Intelligence-Large Language Models (AI-LLMs) for Reliable and Accurate Cardiotocography (CTG) Interpretation in Obstetric Practice
Khanisyah Erza Gumilar, Manggala Pasca Wardhana, Muhammad Ilham Aldika Akbar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Khanisyah Erza Gumilar, Manggala Pasca Wardhana, Muhammad Ilham Aldika Akbar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Retrieval-Augmented Generation Architecture Framework: Harnessing the Power of RAG
Richard Shan, Tony C. Shan
Lecture notes in computer science (2024), pp. 88-104
Closed Access
Richard Shan, Tony C. Shan
Lecture notes in computer science (2024), pp. 88-104
Closed Access
