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:

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
Ji-Peng Olivia Li, Hanruo Liu, Darren Shu Jeng Ting, et al.
Progress in Retinal and Eye Research (2020) Vol. 82, pp. 100900-100900
Open Access | Times Cited: 475

Showing 1-25 of 475 citing articles:

Digital Transformation in Healthcare: Technology Acceptance and Its Applications
Angelos I. Stoumpos, Fotis Kitsios, Μichael A. Talias
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3407-3407
Open Access | Times Cited: 400

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2493-2493
Open Access | Times Cited: 162

Metaverse and Virtual Health Care in Ophthalmology: Opportunities and Challenges
Ting Fang Tan, Yong Li, Jane Lim, et al.
Asia-Pacific Journal of Ophthalmology (2022) Vol. 11, Iss. 3, pp. 237-246
Open Access | Times Cited: 147

Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology
Dinesh Visva Gunasekeran, Yih‐Chung Tham, Daniel Shu Wei Ting, et al.
The Lancet Digital Health (2021) Vol. 3, Iss. 2, pp. e124-e134
Open Access | Times Cited: 134

Socioeconomic inequalities in cancer incidence and access to health services among children and adolescents in China: a cross-sectional study
Xin Ni, Zhe Li, Xinping Li, et al.
The Lancet (2022) Vol. 400, Iss. 10357, pp. 1020-1032
Closed Access | Times Cited: 113

Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images
R. Rajagopal, R. Karthick, P. Meenalochini, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104197-104197
Closed Access | Times Cited: 109

Investigating the Impact of International Markets and New Digital Technologies on Business Innovation in Emerging Markets
Léo‐Paul Dana, Aidin Salamzadeh, Samira Mortazavi, et al.
Sustainability (2022) Vol. 14, Iss. 2, pp. 983-983
Open Access | Times Cited: 91

Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
Kai Jin, Juan Ye
Advances in Ophthalmology Practice and Research (2022) Vol. 2, Iss. 3, pp. 100078-100078
Open Access | Times Cited: 75

Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning
Zhiyuan Gao, Xiangji Pan, Ji Shao, et al.
British Journal of Ophthalmology (2022) Vol. 107, Iss. 12, pp. 1852-1858
Closed Access | Times Cited: 72

Management of keratoconus: an updated review
Rashmi Deshmukh, Zun Zheng Ong, Radhika Rampat, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 69

Large language models and their impact in ophthalmology
Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 12, pp. e917-e924
Open Access | Times Cited: 62

Metaverse for Digital Anti-Aging Healthcare: An Overview of Potential Use Cases Based on Artificial Intelligence, Blockchain, IoT Technologies, Its Challenges, and Future Directions
Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Shah Muhammad Imtiyaj Uddin, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5127-5127
Open Access | Times Cited: 56

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: 52

Economic evaluation of combined population-based screening for multiple blindness-causing eye diseases in China: a cost-effectiveness analysis
Hanruo Liu, Ruyue Li, Yue Zhang, et al.
The Lancet Global Health (2023) Vol. 11, Iss. 3, pp. e456-e465
Closed Access | Times Cited: 50

Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Laura Winchester, Eric L. Harshfield, Shi Liu, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5860-5871
Open Access | Times Cited: 47

Challenges of artificial intelligence in medicine and dermatology
Andrzej Grzybowski, Kai Jin, Hongkang Wu
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 210-215
Closed Access | Times Cited: 46

Artificial intelligence and digital health in global eye health: opportunities and challenges
Ting Fang Tan, Arun James Thirunavukarasu, Liyuan Jin, et al.
The Lancet Global Health (2023) Vol. 11, Iss. 9, pp. e1432-e1443
Closed Access | Times Cited: 43

Barriers and Facilitators of Artificial Intelligence Adoption in Healthcare: A Scoping Review (Preprint)
Masooma Hassan, André Kushniruk, Elizabeth M. Borycki
JMIR Human Factors (2024) Vol. 11, pp. e48633-e48633
Open Access | Times Cited: 25

Recent advances in the treatment and delivery system of diabetic retinopathy
Zhiyi Wang, Ningzhi Zhang, Pei Lin, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 18

A generalist medical language model for disease diagnosis assistance
Xiaohong Liu, Hao Liu, Guoxing Yang, et al.
Nature Medicine (2025)
Closed Access | Times Cited: 4

Optical coherence tomography in the 2020s—outside the eye clinic
Reena Chopra, Siegfried Wagner, Pearse A. Keane
Eye (2020) Vol. 35, Iss. 1, pp. 236-243
Open Access | Times Cited: 72

Artificial Intelligence in Nutrients Science Research: A Review
Jarosław Sak, Magdalena Suchodolska
Nutrients (2021) Vol. 13, Iss. 2, pp. 322-322
Open Access | Times Cited: 69

Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice
Cristina González-Gonzalo, Eric F. Thee, Caroline C. W. Klaver, et al.
Progress in Retinal and Eye Research (2021) Vol. 90, pp. 101034-101034
Open Access | Times Cited: 67

Bacterial keratitis: identifying the areas of clinical uncertainty
Stephen J. Tuft, Tobi F. Somerville, Ji-Peng Olivia Li, et al.
Progress in Retinal and Eye Research (2021) Vol. 89, pp. 101031-101031
Closed Access | Times Cited: 64

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