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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.

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Showing 15 citing articles:

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
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
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
Retinal Vein Occlusion–Background Knowledge and Foreground Knowledge Prospects—A Review
Maja Lendzioszek, Anna Bryl, Ewa Poppe, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 13, pp. 3950-3950
Open Access | Times Cited: 6
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
Research progress in artificial intelligence assisted diabetic retinopathy diagnosis
Yunfang Liu, Fangqin Fei, Nai-Mei Chen, et al.
International Journal of Ophthalmology (2023) Vol. 16, Iss. 9, pp. 1395-1405
Open Access | Times Cited: 6
Intelligent diagnosis of retinal vein occlusion based on color fundus photographs
Yu‐Ke Ji, Sha Liu, Cui-Juan Xie, et al.
International Journal of Ophthalmology (2023) Vol. 17, Iss. 1, pp. 1-6
Open Access | Times Cited: 6
Advances in artificial intelligence models and algorithms in the field of optometry
Suyu Wang, Yuke Ji, Bai Wen, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 4
Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography
Kanato Masayoshi, Yusaku Katada, Nobuhiro Ozawa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Prediction of treatment outcome for branch retinal vein occlusion using convolutional neural network-based retinal fluorescein angiography
Yu-peng Zhang, Zhen Xing, Aijun Deng
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Deep Learning Segmentation of Non-perfusion Area from Color Fundus Images and AI-generated Fluorescein Angiography
Kanato Masayoshi, Yusaku Katada, Nobuhiro Ozawa, et al.
Research Square (Research Square) (2024)
Open Access
Wide field imaging biomarkers: A different perspective
Sakshi Shiromani, Niveditha Pattathil, Elham Sadeghi, et al.
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 4, pp. 510-518
Open Access
Retinal Vascular Occlusions
Amod Gupta, Reema Bansal, Aman Sharma, et al.
(2023), pp. 179-203
Closed Access | Times Cited: 1
Comparison of the accuracy of 9 intraocular lens power calculation formulas after SMILE in Chinese myopic eyes
Liangpin Li, Liyun Yuan, Kun Yang, et al.
Research Square (Research Square) (2023)
Open Access

Yu‐Ke Ji, Rongrong Hua, Sha Liu, et al.
International Journal of Ophthalmology (2023) Vol. 17, Iss. 1
Open Access
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