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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:

Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology
Lokman Balyen, Tünde Pető
Asia-Pacific Journal of Ophthalmology (2019)
Open Access | Times Cited: 140

Showing 26-50 of 140 citing articles:

Applications of augmented reality in ophthalmology [Invited]
Güneş Aydındoğan, Koray Kavaklı, Afsun Şahin, et al.
Biomedical Optics Express (2020) Vol. 12, Iss. 1, pp. 511-511
Open Access | Times Cited: 37
Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging
Bjorn Kaijun Betzler, Tyler Hyungtaek Rim, Charumathi Sabanayagam, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 20
Comparing code-free and bespoke deep learning approaches in ophthalmology
Carolyn Yu Tung Wong, Ciara O’Byrne, Priyal Taribagil, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 9, pp. 2785-2798
Open Access | Times Cited: 4
The Role of Artificial Intelligence in Triaging Patients in Eye Casualty Departments: A Systematic Review
Aaruran Nadarajasundaram, Stephen Harrow
Cureus (2025)
Open Access
Artificial intelligence in managing retinal disease—current concepts and relevant aspects for health care providers
Sophie Riedl, Klaudia Birner, Ursula Schmidt‐Erfurth
Wiener Medizinische Wochenschrift (2025)
Open Access
A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy
Sebastian Dinesen, Marianne Schou, Christoffer Viuff Hedegaard, et al.
Ophthalmology and Therapy (2025)
Open Access
Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis
Ali Q Saeed, Siti Norul Huda Sheikh Abdullah, Jemaima Che-Hamzah, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 9, pp. e27414-e27414
Open Access | Times Cited: 26
Epidemiology, health policy and public health implications of visual impairment and age-related eye diseases in mainland China
Cong Li, Bo Zhu, Jie Zhang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 16
Artificial intelligence technology for myopia challenges: A review
Juzhao Zhang, Haidong Zou
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 10
Examining the Role of Telemedicine in Diabetic Retinopathy
Matthew R. Land, Parth A. Patel, Tommy Bui, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3537-3537
Open Access | Times Cited: 9
Interpretable Detection of Diabetic Retinopathy, Retinal Vein Occlusion, Age-Related Macular Degeneration, and Other Fundus Conditions
Wenlong Li, Linbo Bian, Baikai Ma, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 121-121
Open Access | Times Cited: 3
Artificial intelligence in drug discovery and clinical practice
Vangelis Karalis
Elsevier eBooks (2024), pp. 215-255
Closed Access | Times Cited: 3
Artificial intelligence for the detection of glaucoma with SD-OCT images: a systematic review and Meta-analysis
Nannan Shi, Guanghui Liu, Ming-Fang Cao
International Journal of Ophthalmology (2024) Vol. 17, Iss. 3, pp. 408-419
Open Access | Times Cited: 3
Explainable ensemble learning method for OCT detection with transfer learning
Jiasheng Yang, Guanfang Wang, Xu Xiao, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296175-e0296175
Open Access | Times Cited: 3
CSDNet: A Novel Deep Learning Framework for Improved Cataract State Detection
Lahari P.L, Ramesh Vaddi, Mahmoud O. Elish, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 983-983
Open Access | Times Cited: 3
Utilizing Advanced Deep Learning for Accurate Multilabel Classification of Ocular Diseases
M. Kiran Mayee, M. Humera Khanam
(2024), pp. 1-6
Closed Access | Times Cited: 3
Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques
Ibrahim Yasser, Fahmi Khalifa, Hisham Abdeltawab, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2342-2342
Open Access | Times Cited: 15
Research progress and application of artificial intelligence in thyroid associated ophthalmopathy
Jiale Diao, Xinxin Chen, Ya Shen, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 8
Insights into artificial intelligence in myopia management: from a data perspective
Juzhao Zhang, Haidong Zou
Graefe s Archive for Clinical and Experimental Ophthalmology (2023) Vol. 262, Iss. 1, pp. 3-17
Open Access | Times Cited: 8
Artificial intelligence in ophthalmology
Peter Wiedemann
International Journal of Ophthalmology (2023) Vol. 16, Iss. 9, pp. 1357-1360
Open Access | Times Cited: 8
Comparison of the accuracy of three intraocular lens power calculation formulas in cataract patients with prior radial keratotomy
Meng Li, Jinda Wang, Jingshang Zhang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 7
Facilitating deep learning through preprocessing of optical coherence tomography images
Anfei Li, James P. Winebrake, Kyle D. Kovacs
BMC Ophthalmology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Optimizing Urban Design for Pandemics Using Reinforcement Learning and Multi-objective Optimization
Mohammad Anvar Adibhesami, Hirou Karimi, Borhan Sepehri
(2024), pp. 77-94
Closed Access | Times Cited: 2
Deep learning based detection and classification of fetal lip in ultrasound images
Yapeng Li, Peiya Cai, Yubing Huang, et al.
Journal of Perinatal Medicine (2024) Vol. 52, Iss. 7, pp. 769-777
Closed Access | Times Cited: 2
Comparison of DNA methylation based classification models for precision diagnostics of central nervous system tumors
Quynh T. Tran, Alex Breuer, Tong Lin, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2

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