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 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

Showing 1-25 of 39 citing articles:

A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence
Wiktor Stopyra, David L. Cooke, Andrzej Grzybowski
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 498-498
Open Access | Times Cited: 18

Artificial intelligence applied to diabetes complications: a bibliometric analysis
Yu-Han Tao, Jinzheng Hou, Guangxin Zhou, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access | Times Cited: 1

Closed-Loop, Artificial Intelligence-Based Decision Support Systems, and Data Science
Revital Nimri, Moshe Phillip, Mark A. Clements, et al.
Diabetes Technology & Therapeutics (2025) Vol. 27, Iss. S1, pp. S64-S78
Closed Access

Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects
Chaoyu Wang, Guowei Dai, Yue Luo, et al.
The American Journal of Chinese Medicine (2025), pp. 1-32
Closed Access

The Role of Artificial Intelligence in Photomedicine
Sepehr Fekrazad, Michael R. Hamblin, Reza Fekrazad
Photobiomodulation Photomedicine and Laser Surgery (2025)
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

Recent advances and applications of optical coherence tomography angiography in diabetic retinopathy
Qing Zhang, Di Gong, Manman Huang, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access

Explanation and elaboration of MedinAI: guidelines for reporting artificial intelligence studies in medicines, pharmacotherapy, and pharmaceutical services
Wallace Entringer Bottacin, Thaís Teles de Souza, Ana Carolina Melchiors, et al.
International Journal of Clinical Pharmacy (2025)
Closed Access

The efficacy of artificial intelligence in diabetic retinopathy screening: a systematic review and meta-analysis
Abdullah Alqahtani, Wasan M Alshareef, Hanan T Aljadani, et al.
International Journal of Retina and Vitreous (2025) Vol. 11, Iss. 1
Open Access

Transformative applications of oculomics-based AI approaches in the management of systemic diseases: A systematic review
Zhongwen Li, Shiqi Yin, Shihong Wang, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 3

Practical Applications of Artificial Intelligence Diagnostic Systems in Fundus Retinal Disease Screening
Qingquan Wei, Lifang Chi, Meiling Li, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 1173-1180
Open Access

AI with agency: a vision for adaptive, efficient, and ethical healthcare
Víctor Fuentes, Hezerul Abdul Karim, Myles Joshua Toledo Tan, et al.
Frontiers in Digital Health (2025) Vol. 7
Open 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

Trustworthy Evaluation of Clinical AI for Analysis of Medical Images in Diverse Populations
Jiri Fajtl, Roshan A. Welikala, Sarah Barman, et al.
NEJM AI (2024) Vol. 1, Iss. 9
Open Access | Times Cited: 2

Current Status, Hotspots, and Prospects of Artificial Intelligence in Ophthalmology: A Bibliometric Analysis (2003–2023)
Jie Deng, Yuhui Qin
Ophthalmic Epidemiology (2024), pp. 1-14
Closed Access | Times Cited: 2

Novel artificial intelligence for diabetic retinopathy and diabetic macular edema: what is new in 2024?
Stela Vujosevic, Celeste Limoli, Paolo Nucci
Current Opinion in Ophthalmology (2024)
Closed Access | Times Cited: 2

The application of artificial intelligence in diabetic retinopathy: progress and prospects
Xin Xu, Mingchen Zhang, Sihong Huang, et al.
Frontiers in Cell and Developmental Biology (2024) Vol. 12
Open Access | Times Cited: 2

Discriminative, generative artificial intelligence, and foundation models in retina imaging
Paisan Ruamviboonsuk, Niracha Arjkongharn, Nattaporn Vongsa, et al.
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 4, pp. 473-485
Open Access | Times Cited: 2

American Society of Retina Specialists Artificial Intelligence Task Force Report
Katherine E. Talcott, Sally L. Baxter, Dinah K. Chen, et al.
Journal of VitreoRetinal Diseases (2024) Vol. 8, Iss. 4, pp. 373-380
Closed Access | Times Cited: 1

Avanços recentes da IA na oftalmologia - revisão de literatura
Vítor Alcântara Lopes Pionório, Décio Fragata da Silva, Julia Lopes Pionório
Brazilian Journal of Health Review (2024) Vol. 7, Iss. 3, pp. e69712-e69712
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

Evaluating the efficacy of AI systems in diabetic retinopathy detection: A comparative analysis of Mona DR and IDx‐DR
Andrzej Grzybowski, Freya Peeters, Rafael Correia Barão, et al.
Acta Ophthalmologica (2024)
Closed Access | Times Cited: 1

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