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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:

Cost-effectiveness of artificial intelligence screening for diabetic retinopathy in rural China
Xiaomei Huang, Bo-Fan Yang, Wen-Lin Zheng, et al.
BMC Health Services Research (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 51
Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations
Varisha Zuhair, Areesha Babar, Rabbiya Ali, et al.
Journal of Primary Care & Community Health (2024) Vol. 15
Open Access | Times Cited: 37
Artificial Intelligence and Diabetic Retinopathy: AI Framework, Prospective Studies, Head-to-head Validation, and Cost-effectiveness
Anand E. Rajesh, Oliver Davidson, Cecilia S. Lee, et al.
Diabetes Care (2023) Vol. 46, Iss. 10, pp. 1728-1739
Open Access | Times Cited: 35
AI in medical education: medical student perception, curriculum recommendations and design suggestions
Qianying Li, Yunhao Qin
BMC Medical Education (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 33
Artificial intelligence for diabetic retinopathy in low-income and middle-income countries: a scoping review
Charles R Cleland, Justus Rwiza, Jennifer Evans, et al.
BMJ Open Diabetes Research & Care (2023) Vol. 11, Iss. 4, pp. e003424-e003424
Open Access | Times Cited: 28
Population impact and cost-effectiveness of artificial intelligence-based diabetic retinopathy screening in people living with diabetes in Australia: a cost effectiveness analysis
Wenyi Hu, Sanil Joseph, Rui Li, et al.
EClinicalMedicine (2024) Vol. 67, pp. 102387-102387
Open Access | Times Cited: 15
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case
Yueye Wang, Chi Liu, Wenyi Hu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 14
Autonomous Artificial Intelligence for Diabetic Eye Disease Testing Improves Access and Equity in the Pediatric and Adult Populations: The Johns Hopkins Medicine Experience
T. Y. Alvin Liu, Risa M. Wolf
Diabetes Spectrum (2025) Vol. 38, Iss. 1, pp. 19-22
Closed Access | Times Cited: 1
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
Artificial intelligence for telemedicine diabetic retinopathy screening: a review
Luis Filipe Nakayama, Lucas Zago Ribeiro, Frederico do Carmo Novaes, et al.
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 17
A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality
Hongkang Wu, Kai Jin, Chee Chew Yip, et al.
Survey of Ophthalmology (2024) Vol. 69, Iss. 4, pp. 499-507
Open Access | Times Cited: 7
Cost-effectiveness and cost-utility of a digital technology-driven hierarchical healthcare screening pattern in China
Xiaohang Wu, Yuxuan Wu, Zhenjun Tu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI)
Jamie Elvidge, Claire Hawksworth, Tuba Saygın Avşar, et al.
Value in Health (2024) Vol. 27, Iss. 9, pp. 1196-1205
Open Access | Times Cited: 6
Advances in Structural and Functional Retinal Imaging and Biomarkers for Early Detection of Diabetic Retinopathy
Zhengwei Zhang, Callie Deng, Yannis M. Paulus
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1405-1405
Open Access | Times Cited: 6
Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program
Attasit Srisubat, Kankamon Kittrongsiri, Sermsiri Sangroongruangsri, et al.
Ophthalmology and Therapy (2023) Vol. 12, Iss. 2, pp. 1339-1357
Open Access | Times Cited: 13
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective
Mahnoor Ahmed, Tinglong Dai, Roomasa Channa, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases
Chufeng Gu, Yujie Wang, Yan Jiang, et al.
British Journal of Ophthalmology (2023) Vol. 108, Iss. 3, pp. 424-431
Open Access | Times Cited: 11
Comparing code-free and bespoke deep learning approaches in ophthalmology
Carolyn Yu Tung Wong, Ciara O’Byrne, Priyal Taribagil, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 9, pp. 2785-2798
Open Access | Times Cited: 4
AI Diabetic Retinopathy Screening in a Primary Care Setting in Rural Maine
R. Heuer, Emma R. DayBranch, Anastasia Tsomides, et al.
Journal of General Internal Medicine (2025)
Closed Access
A Systematic Review of Advances in AI-Assisted Analysis of Fundus Fluorescein Angiography (FFA) Images: From Detection to Report Generation
Yu Tao, An Shao, Hongkang Wu, et al.
Ophthalmology and Therapy (2025)
Open Access
Artificial intelligence could boost eye care in low-income countries
Tammy Worth
Nature (2025) Vol. 639, Iss. 8053, pp. S12-S13
Open Access
Evaluation of ChatGPT-4 in Detecting Referable Diabetic Retinopathy Using Single Fundus Images
Owais M. Aftab, Hamza N. Khan, Brian L. VanderBeek, et al.
Deleted Journal (2025), pp. 100111-100111
Open Access
Current and future roles of artificial intelligence in retinopathy of prematurity
Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Acceptability, applicability, and cost-utility of artificial-intelligence-powered low-cost portable fundus camera for diabetic retinopathy screening in primary health care settings
Yanxian Chen, Song Fan, Ziwei Zhao, et al.
Diabetes Research and Clinical Practice (2025), pp. 112161-112161
Closed Access
Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging
Navid Sobhi, Yasin Sadeghi-Bazargani, Mirzaei Mahdis, et al.
Journal of Diabetes & Metabolic Disorders (2025) Vol. 24, Iss. 1
Open Access
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