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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:

Role of artificial intelligence and machine learning in ophthalmology
JohnDavis Akkara, Anju Kuriakose
Kerala Journal of Ophthalmology (2019) Vol. 31, Iss. 2, pp. 150-150
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Artificial intelligence and machine learning in ophthalmology: A review
Ojas Srivastava, Matthew Tennant, Parampal S. Grewal, et al.
Indian Journal of Ophthalmology (2022) Vol. 71, Iss. 1, pp. 11-17
Open Access | Times Cited: 39
Healthcare with smart contact lenses: innovations, challenges, and future perspectives
Jinyuan Zhang, Yumin Dai, Chi Hwan Lee
Elsevier eBooks (2025), pp. 521-545
Closed Access | Times Cited: 1
Identification of glaucoma from fundus images using deep learning techniques
JohnD Akkara, S. Ajitha, M. V. Judy
Indian Journal of Ophthalmology (2021) Vol. 69, Iss. 10, pp. 2702-2709
Open Access | Times Cited: 51
A study on the use of Edge TPUs for eye fundus image segmentation
Javier Civit-Masot, Francisco Luna-Perejón, José María Rodríguez Corral, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104384-104384
Open Access | Times Cited: 37
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
Insights into the growing popularity of artificial intelligence in ophthalmology
Ramachandran Rajalakshmi, Sreetama Dutt, Anand Sivaraman, et al.
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 7, pp. 1339-1339
Open Access | Times Cited: 35
Artificial Intelligence in Ophthalmology: Advantages and Limits
Hariton Costin, Monica Fira, Liviu Goraș
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1913-1913
Open Access
Utilizing human intelligence in artificial intelligence for detecting glaucomatous fundus images using human-in-the-loop machine learning
Prasanna Venkatesh Ramesh, Tamilselvan Subramaniam, Prajnya Ray, et al.
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 4, pp. 1131-1138
Open Access | Times Cited: 18
Artificial Intelligence in Ophthalmology: Evolutions in Asia
Paisan Ruamviboonsuk, Carol Y. Cheung, Xiulan Zhang, et al.
Asia-Pacific Journal of Ophthalmology (2020) Vol. 9, Iss. 2, pp. 78-84
Open Access | Times Cited: 23
Digital Education in Ophthalmology
Tala Al-Khaled, Luis Acaba-Berrocal, Emily Cole, et al.
Asia-Pacific Journal of Ophthalmology (2021) Vol. 11, Iss. 3, pp. 267-272
Open Access | Times Cited: 17
Optometrist's perspectives of Artificial Intelligence in eye care
Angelica C. Scanzera, Ellen Shorter, Charles Kinnaird, et al.
Journal of Optometry (2022) Vol. 15, pp. S91-S97
Open Access | Times Cited: 12
Planning an artificial intelligence diabetic retinopathy screening program: a human-centered design approach
Angelica C. Scanzera, Cameron Beversluis, Archit V. Potharazu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 6
Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography
Papis Wongchaisuwat, Ranida Thamphithak, Peerakarn Jitpukdee, et al.
Translational Vision Science & Technology (2022) Vol. 11, Iss. 10, pp. 16-16
Open Access | Times Cited: 9
Can deep learning revolutionize clinical understanding and diagnosis of optic neuropathy?
Mohana Devi Subramaniam, Abishek Kumar, Ruth Bright Chirayath, et al.
Artificial Intelligence in the Life Sciences (2021) Vol. 1, pp. 100018-100018
Open Access | Times Cited: 12
Assessing the Utility and Patient Satisfaction of Virtual Retina Clinics During COVID-19 Pandemic
Leire Juaristi, Cristina Irigoyen, Jaione Chapartegui, et al.
Clinical ophthalmology (2022) Vol. Volume 16, pp. 311-321
Open Access | Times Cited: 8
Beyond human perception: Revolutionizing ophthalmology with artificial intelligence and deep learning
Asma Jabeen
Journal of Clinical Ophthalmology and Research (2024) Vol. 12, Iss. 3, pp. 287-292
Open Access | Times Cited: 1
Commentary: Teleophthalmology and electronic medical records: Weighing the pros and cons of unavoidable progress
JohnDavis Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 2, pp. 367-367
Open Access | Times Cited: 9
Commentary: Gamifying teleconsultation during COVID-19 lockdown
JohnD Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 6, pp. 1013-1013
Open Access | Times Cited: 9
Commentary: Artificial intelligence for everything: Can we trust it?
JohnDavis Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 7, pp. 1346-1346
Open Access | Times Cited: 9
Evaluation of the Nallasamy Formula: A Stacking Ensemble Machine Learning Method for Refraction Prediction in Cataract Surgery
Tingyang Li, Joshua D. Stein, Nambi Nallasamy
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 8
Artificial intelligence in glaucoma detection using color fundus photographs
Zubin Sidhu, Tarannum Mansoori
Indian Journal of Ophthalmology (2023) Vol. 72, Iss. 3, pp. 408-411
Open Access | Times Cited: 3
Prediction of different stages in Diabetic retinopathy from retinal fundus images using radial basis function based SVM
Manoj Kumar Behera
Indian Journal of Science and Technology (2020) Vol. 13, Iss. 20, pp. 2030-2040
Open Access | Times Cited: 6
Customised artificial intelligence toolbox for detecting diabetic retinopathy with confocal truecolor fundus images using object detection methods
Prasanna Venkatesh Ramesh, Shruthy Vaishali Ramesh, Tamilselvan Subramanian, et al.
TNOA Journal of Ophthalmic Science and Research (2023) Vol. 61, Iss. 1, pp. 57-57
Open Access | Times Cited: 2
Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead
Atul Kumar, Divya Agarwal
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 7, pp. 1347-1347
Open Access | Times Cited: 5
Commentary: Is human supervision needed for artificial intelligence?
JohnDavis Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2022) Vol. 70, Iss. 4, pp. 1138-1139
Open Access | Times Cited: 3
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