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:
Application of ChatGPT-4 to oculomics: a cost-effective osteoporosis risk assessment to enhance management as a proof-of-principles model in 3PM
Joon Yul Choi, Eoksoo Han, Tae Keun Yoo
The EPMA Journal (2024) Vol. 15, Iss. 4, pp. 659-676
Closed Access | Times Cited: 4
Joon Yul Choi, Eoksoo Han, Tae Keun Yoo
The EPMA Journal (2024) Vol. 15, Iss. 4, pp. 659-676
Closed Access | Times Cited: 4
Showing 4 citing articles:
Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging
Eun Young Choi, Joon Yul Choi, Tae Keun Yoo
International Journal of Retina and Vitreous (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Eun Young Choi, Joon Yul Choi, Tae Keun Yoo
International Journal of Retina and Vitreous (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Characterizing patients at higher cardiovascular risk for prescribed stimulants: Learning from health records data with predictive analytics and data mining techniques
Yong Yan, Qiushi Chen, Rafay Nasir, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109870-109870
Closed Access
Yong Yan, Qiushi Chen, Rafay Nasir, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109870-109870
Closed Access
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea
Na Hyeon Yu, Daeun Chloe Shin, Ik Hee Ryu, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Na Hyeon Yu, Daeun Chloe Shin, Ik Hee Ryu, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Leveraging large language models to construct feedback from medical multiple-choice Questions
Mihaela Todorova Tomova, Iván Roselló Atanet, Victoria Sehy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Mihaela Todorova Tomova, Iván Roselló Atanet, Victoria Sehy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
