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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 1-25 of 140 citing articles:

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: 469
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
Ling‐Ping Cen, Jie Ji, Jianwei Lin, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 212
Optical coherence tomography angiography in diabetic retinopathy: an updated review
Zihan Sun, Dawei Yang, Ziqi Tang, et al.
Eye (2020) Vol. 35, Iss. 1, pp. 149-161
Open Access | Times Cited: 150
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning
Ling Wei
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 112
Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features
M. Mohsin Butt, D. N. F. Awang Iskandar, Sherif E. Abdelhamid, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1607-1607
Open Access | Times Cited: 80
Applications of Artificial Intelligent and Machine Learning Techniques in Image Processing
Sampath Boopathi, Uday Kumar Kanike
Advances in computational intelligence and robotics book series (2023), pp. 151-173
Closed Access | Times Cited: 64
Detection of Diabetic Retinopathy Using Bichannel Convolutional Neural Network
Shu‐I Pao, Hong-Zin Lin, Ke‐Hung Chien, et al.
Journal of Ophthalmology (2020) Vol. 2020, pp. 1-7
Open Access | Times Cited: 98
Current status and future trends of clinical diagnoses via image-based deep learning
Jie Xu, Kanmin Xue, Kang Zhang
Theranostics (2019) Vol. 9, Iss. 25, pp. 7556-7565
Open Access | Times Cited: 81
Precautionary measures needed for ophthalmologists during pandemic of the coronavirus disease 2019 (COVID‐19)
Kelvin H. Wan, Susan S. Huang, Alvin L. Young, et al.
Acta Ophthalmologica (2020) Vol. 98, Iss. 3, pp. 221-222
Open Access | Times Cited: 73
A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images
Irfan Ullah Khan, Nida Aslam
Information (2020) Vol. 11, Iss. 9, pp. 419-419
Open Access | Times Cited: 73
Enhanced medical diagnosis for dOCTors: a perspective of optical coherence tomography
Rainer A. Leitgeb, Fabian Placzek, Elisabet Rank, et al.
Journal of Biomedical Optics (2021) Vol. 26, Iss. 10
Open Access | Times Cited: 61
Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification
José Camara, Alexandre Neto, Ivan Miguel Pires, et al.
Journal of Imaging (2022) Vol. 8, Iss. 2, pp. 19-19
Open Access | Times Cited: 38
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images
Esraa Hassan, Samir Elmougy, Mai Ramadan Ibraheem, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5393-5393
Open Access | Times Cited: 27
The application of artificial intelligence in glaucoma diagnosis and prediction
Linyu Zhang, Li Tang, Min Xia, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 23
OCT and OCT Angiography Update: Clinical Application to Age-Related Macular Degeneration, Central Serous Chorioretinopathy, Macular Telangiectasia, and Diabetic Retinopathy
Lyvia J. Zhang, Elon H. C. van Dijk, Enrico Borrelli, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 232-232
Open Access | Times Cited: 19
Robotics and cybersurgery in ophthalmology: a current perspective
Munirah Alafaleq
Journal of Robotic Surgery (2023) Vol. 17, Iss. 4, pp. 1159-1170
Open Access | Times Cited: 16
Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence
Hui Lu, Ahmad Alhaskawi, Yanzhao Dong, et al.
INQUIRY The Journal of Health Care Organization Provision and Financing (2024) Vol. 61
Open Access | Times Cited: 7
A novel retinal ganglion cell quantification tool based on deep learning
Luca Masin, Marie Claes, Steven Bergmans, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 40
Machine Learning and Deep Learning Techniques for Optic Disc and Cup Segmentation – A Review
Mohammed Alawad, Abdulrhman Aljouie, Suhailah Alamri, et al.
Clinical ophthalmology (2022) Vol. Volume 16, pp. 747-764
Open Access | Times Cited: 24
Clinical Applications of Machine Learning in the Management of Intraocular Cancers: A Narrative Review
Anirudha S. Chandrabhatla, Taylor M. Horgan, Caroline C. Cotton, et al.
Investigative Ophthalmology & Visual Science (2023) Vol. 64, Iss. 10, pp. 29-29
Open Access | Times Cited: 14
Artificial intelligence in ophthalmology
Stella Ioana Popescu Patoni, Alexandra Andreea Mihaela Muşat, Cristina Patoni, et al.
Romanian Journal of Ophthalmology (2023) Vol. 67, Iss. 3
Open Access | Times Cited: 14
Federated learning for diagnosis of age-related macular degeneration
Sina Gholami, Jennifer I. Lim, Theodore Leng, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 13
The potential role of machine learning and deep learning in differential diagnosis of Alzheimer’s disease and FTD using imaging biomarkers: A review
Sara Mirabian, Fatemeh Mohammadian, Zohreh Ganji, et al.
The Neuroradiology Journal (2025)
Open Access
COVID-19: Ocular Manifestations and the APAO Prevention Guidelines for Ophthalmic Practices
Raymond Wong, Daniel Shu Wei Ting, Kelvin H. Wan, et al.
Asia-Pacific Journal of Ophthalmology (2020) Vol. 9, Iss. 4, pp. 281-284
Open Access | Times Cited: 38
COVID-19 pandemic from an ophthalmology point of view
Jagat Ram, ParulChawla Gupta, Praveen Kumar
The Indian Journal of Medical Research (2020) Vol. 151, Iss. 5, pp. 411-411
Open Access | Times Cited: 37
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