Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 for Screening of Multiple Retinal and Optic Nerve Diseases
Li Dong, Wanji He, Ruiheng Zhang, et al.
JAMA Network Open (2022) Vol. 5, Iss. 5, pp. e229960-e229960
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Dobin Yim, Jiban Khuntia, Vijaya Parameswaran, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e52073-e52073
Open Access | Times Cited: 28
Artificial Intelligence (AI) for Early Diagnosis of Retinal Diseases
Uday Pratap Singh Parmar, Pier Luigi Surico, Rohan Bir Singh, et al.
Medicina (2024) Vol. 60, Iss. 4, pp. 527-527
Open Access | Times Cited: 20
Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Malena Daich Varela, Sagnik Sen, Thales A. C. de Guimarães, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2023) Vol. 261, Iss. 11, pp. 3283-3297
Open Access | Times Cited: 39
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
Exploring the role of artificial intelligence chatbot on the management of scaphoid fractures
Ishith Seth, Bryan Lim, Yi Xie, et al.
Journal of Hand Surgery (European Volume) (2023) Vol. 48, Iss. 8, pp. 814-818
Closed Access | Times Cited: 26
Medical education and physician training in the era of artificial intelligence
Yueyuan Xu, Zehua Jiang, Daniel Shu Wei Ting, et al.
Singapore Medical Journal (2024) Vol. 65, Iss. 3, pp. 159-166
Open Access | Times Cited: 13
Review of Personalized Medicine and Pharmacogenomics of Anti-Cancer Compounds and Natural Products
Yalan Zhou, Siqi Peng, Huizhen Wang, et al.
Genes (2024) Vol. 15, Iss. 4, pp. 468-468
Open Access | Times Cited: 12
Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal Diseases
Stanley Poh, Josh Tjunrong Sia, Michelle Yip, et al.
Ophthalmology Retina (2024) Vol. 8, Iss. 7, pp. 633-645
Closed Access | Times Cited: 8
A Beginner’s Guide to Artificial Intelligence for Ophthalmologists
Daohuan Kang, Hongkang Wu, Lu Yuan, et al.
Ophthalmology and Therapy (2024) Vol. 13, Iss. 7, pp. 1841-1855
Open Access | Times Cited: 8
Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review
Qianhui Yang, Yong Mong Bee, C. C. Tchoyoson Lim, et al.
EClinicalMedicine (2025) Vol. 81, pp. 103089-103089
Open Access | Times Cited: 1
Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images
Yuke Ji, Yun Ji, Yunfang Liu, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 16
Implementing and evaluating a fully functional AI-enabled model for chronic eye disease screening in a real clinical environment
Christos Skevas, Nicolás Pérez de Olaguer, Albert Lleó, et al.
BMC Ophthalmology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
The AI Revolution in Glaucoma: Bridging Challenges with Opportunities
Fei Li, Biao Wang, Zefeng Yang, et al.
Progress in Retinal and Eye Research (2024) Vol. 103, pp. 101291-101291
Closed Access | Times Cited: 7
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial
Bing Li, Huan Chen, Weihong Yu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Retina Fundus Photograph-Based Artificial Intelligence Algorithms in Medicine: A Systematic Review
Andrzej Grzybowski, Kai Jin, Jingxing Zhou, et al.
Ophthalmology and Therapy (2024) Vol. 13, Iss. 8, pp. 2125-2149
Open Access | Times Cited: 6
Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies
Xiangjie Leng, Ruijie Shi, Yanxia Wu, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284060-e0284060
Open Access | Times Cited: 16
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
Automated detection of nine infantile fundus diseases and conditions in retinal images using a deep learning system
Yaling Liu, Hai Xie, Xinyu Zhao, et al.
The EPMA Journal (2024) Vol. 15, Iss. 1, pp. 39-51
Open Access | Times Cited: 4
Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions
James Elste, Akash Saini, Rafael Mejía-Alvarez, et al.
Biomolecules (2024) Vol. 14, Iss. 8, pp. 911-911
Open Access | Times Cited: 4
Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos
Shu Qin, Jiali Pang, Zijia Liu, et al.
JAMA Network Open (2024) Vol. 7, Iss. 8, pp. e2425124-e2425124
Open Access | Times Cited: 4
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade
Mirsaeed Abdollahi, Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 4
Efficiency and safety of automated label cleaning on multimodal retinal images
Tian Lin, Meng Wang, Aidi Lin, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Comparison of a Novel Ultra-Widefield Three-Color Scanning Laser Ophthalmoscope to Other Retinal Imaging Modalities in Chorioretinal Lesion Imaging
Ines Nagel, Anna Heinke, Akshay Agnihotri, et al.
Translational Vision Science & Technology (2025) Vol. 14, Iss. 1, pp. 11-11
Open Access
Altered retinal vasculature in childhood cancer survivors: Data from the German CVSS‐study
Alexander K. Schuster, Anna Maria Voigt, Tarkan Jäger, et al.
Acta Ophthalmologica (2025)
Open Access
Page 1 - Next Page

Scroll to top