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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:

Artificial Intelligence in Community-Based Diabetic Retinopathy Telemedicine Screening in Urban China: Cost-effectiveness and Cost-Utility Analyses With Real-world Data
Senlin Lin, Yingyan Ma, Yi Xu, et al.
JMIR Public Health and Surveillance (2023) Vol. 9, pp. e41624-e41624
Open Access | Times Cited: 24

Showing 24 citing articles:

Artificial intelligence and medical-engineering integration in diabetes management: Advances, opportunities, and challenges
Shizhan Ma, Mian Zhang, Wenxiu Sun, et al.
(2025) Vol. 1, Iss. 1, pp. 100006-100006
Open Access | Times Cited: 2
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: 39
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
Cost-effectiveness of AI-based diabetic retinopathy screening in nationwide health checkups and diabetes management in Japan: A modeling study
Yoko Akune, Ryo Kawasaki, Rei Goto, et al.
Diabetes Research and Clinical Practice (2025), pp. 112015-112015
Closed Access | Times Cited: 1
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: 8
RETFound-enhanced community-based fundus disease screening: real-world evidence and decision curve analysis
Juzhao Zhang, Senlin Lin, Tianhao Cheng, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Landscape and challenges in economic evaluations of artificial intelligence in healthcare: a systematic review of methodology
Nanna Kastrup, A. Holst-Kristensen, Jan Brink Valentin
BMC Digital Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
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
Artificial intelligence technology in ophthalmology public health: current applications and future directions
ShuYuan Chen, Wen Bai
Frontiers in Cell and Developmental Biology (2025) Vol. 13
Open Access
Bias in AI-Driven Diabetes Prediction Models
Usharani Bhimavarapu
Advances in computational intelligence and robotics book series (2025), pp. 195-214
Closed Access
A pilot cost-analysis study comparing AI-based EyeArt® and ophthalmologist assessment of diabetic retinopathy in minority women in Oslo, Norway
Mia Karabeg, Goran Petrovski, Silvia N. W. Hertzberg, et al.
International Journal of Retina and Vitreous (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Is Artificial Intelligence the Cost-Saving Lens to Diabetic Retinopathy Screening in Low- and Middle-Income Countries?
Anza Rizvi, Fatima Rizvi, Parth Lalakia, et al.
Cureus (2023)
Open Access | Times Cited: 5
An Economic Analysis for the Use of Artificial Intelligence in Screening for Diabetic Retinopathy in Trinidad and Tobago
Ryan Ramoutar
Cureus (2024)
Open Access | Times Cited: 1
Synchronous Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence, and Simultaneous Specialist Confirmation
Gustavo Barreto Melo, Luis Filipe Nakayama, Viviane Santos Cardoso, et al.
Ophthalmology Retina (2024) Vol. 8, Iss. 11, pp. 1083-1092
Closed Access | Times Cited: 1
Self-supervised learning-enhanced deep learning method for identifying myopic maculopathy in high myopia patients
Juzhao Zhang, Fan Xiao, Haidong Zou, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110566-110566
Open Access | Times Cited: 1
Detection of diabetic retinopathy using artificial intelligence: an exploratory systematic review
Richard Injante, Marck Julca
LatIA (2024) Vol. 2, pp. 112-112
Closed Access | Times Cited: 1
The safety and effectiveness of telemedicine for cancer-related colostomy care in early stage of discharge: A prospective, randomized, single-center study
Haizhou Quan, Hongqiang Wang, Yang Yue, et al.
Research Square (Research Square) (2024)
Open Access
The Safety and Effectiveness of Telemedicine for Cancer-Related Colostomy Care in the Early Stage of Discharge: A Prospective, Randomized, Single-Center Study
Haizhou Quan, Hongqiang Wang, Yang Yue, et al.
Telemedicine Reports (2024) Vol. 5, Iss. 1, pp. 212-218
Open Access
Uzaktan Sağlık Hizmetlerinin Ekonomik Değerlendirmesinin Sistematik Analizi
Dilek ALAY
Arşiv Kaynak Tarama Dergisi (2024) Vol. 33, Iss. 3, pp. 172-185
Closed Access
Cost-effectiveness and cost-utility of community-based blinding fundus diseases screening with artificial intelligence: A modelling study from Shanghai, China
Senlin Lin, Yingyan Ma, Liping Li, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109329-109329
Open Access
Biomedical data analytics for better patient outcomes
Alireza Ghofrani, Hamed Taherdoost
Drug Discovery Today (2024), pp. 104280-104280
Closed Access
Revolutionizing Diabetes Care: The Pivotal Role of Artificial Intelligence (Preprint)
Amit Dey, Anu Grover
(2023)
Closed Access
Cost-effectiveness analysis of telemedicine and artificial intelligence-based diabetic retinopathy screening in urban and rural China
zhixian su, Huiyi Li, Yi Zheng, et al.
Research Square (Research Square) (2023)
Open Access
Advantages, Disadvantages, and Limitations of AI in Dental Health
Rohan Jagtap, Sevda Kurt‐Bayrakdar, Kaan Orhan
Springer eBooks (2023), pp. 235-246
Closed Access
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