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:
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
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
Showing 1-25 of 35 citing articles:
Artificial Intelligence Applications in Health Care Practice: Scoping Review
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 113
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 113
Review of retinal cameras for global coverage of diabetic retinopathy screening
Ramachandran Rajalakshmi, Vijayaraghavan Prathiba, Subramanian Arulmalar, et al.
Eye (2020) Vol. 35, Iss. 1, pp. 162-172
Open Access | Times Cited: 80
Ramachandran Rajalakshmi, Vijayaraghavan Prathiba, Subramanian Arulmalar, et al.
Eye (2020) Vol. 35, Iss. 1, pp. 162-172
Open Access | Times Cited: 80
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 13
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes
Jingtong Huang, Andrea M. Yeung, David G. Armstrong, et al.
Journal of Diabetes Science and Technology (2022) Vol. 17, Iss. 1, pp. 224-238
Open Access | Times Cited: 33
Jingtong Huang, Andrea M. Yeung, David G. Armstrong, et al.
Journal of Diabetes Science and Technology (2022) Vol. 17, Iss. 1, pp. 224-238
Open Access | Times Cited: 33
Early-life factors associated with neurobehavioral outcomes in preterm infants during NICU hospitalization
Tingting Zhao, Thao Griffith, Yiming Zhang, et al.
Pediatric Research (2022) Vol. 92, Iss. 6, pp. 1695-1704
Open Access | Times Cited: 32
Tingting Zhao, Thao Griffith, Yiming Zhang, et al.
Pediatric Research (2022) Vol. 92, Iss. 6, pp. 1695-1704
Open Access | Times Cited: 32
Advances in the Noninvasive Diagnosis of Dry Eye Disease
Luca Di Cello, Marco Pellegrini, Aldo Vagge, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10384-10384
Open Access | Times Cited: 28
Luca Di Cello, Marco Pellegrini, Aldo Vagge, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10384-10384
Open Access | Times Cited: 28
Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India
Ramachandran Rajalakshmi, Thyparambil Aravindakshan Pramodkumar, Ashis Kumar Dhara, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Ramachandran Rajalakshmi, Thyparambil Aravindakshan Pramodkumar, Ashis Kumar Dhara, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence in Ophthalmic Surgery: Current Applications and Expectations
Maimaiti Nuliqiman, Mingyu Xu, Yi‐Ming Sun, et al.
Clinical ophthalmology (2023) Vol. Volume 17, pp. 3499-3511
Open Access | Times Cited: 10
Maimaiti Nuliqiman, Mingyu Xu, Yi‐Ming Sun, et al.
Clinical ophthalmology (2023) Vol. Volume 17, pp. 3499-3511
Open Access | Times Cited: 10
Accuracy of an artificial intelligence-based mobile application for detecting cataracts: Results from a field study
Chandrakumar Subbiah Vasan, Sachin Gupta, Madhu Shekhar, et al.
Indian Journal of Ophthalmology (2023) Vol. 71, Iss. 8, pp. 2984-2989
Open Access | Times Cited: 9
Chandrakumar Subbiah Vasan, Sachin Gupta, Madhu Shekhar, et al.
Indian Journal of Ophthalmology (2023) Vol. 71, Iss. 8, pp. 2984-2989
Open Access | Times Cited: 9
Recent developments in the intraocular lens formulae: An update
Sarthak S. Kothari, Jagadesh C. Reddy
Seminars in Ophthalmology (2022) Vol. 38, Iss. 2, pp. 143-150
Closed Access | Times Cited: 13
Sarthak S. Kothari, Jagadesh C. Reddy
Seminars in Ophthalmology (2022) Vol. 38, Iss. 2, pp. 143-150
Closed Access | Times Cited: 13
Application of Artificial Intelligence in the Early Detection of Retinopathy of Prematurity: Review of the Literature
Shivani Shah, Elizabeth Slaney, Erik J. VerHage, et al.
Neonatology (2023) Vol. 120, Iss. 5, pp. 558-565
Closed Access | Times Cited: 6
Shivani Shah, Elizabeth Slaney, Erik J. VerHage, et al.
Neonatology (2023) Vol. 120, Iss. 5, pp. 558-565
Closed Access | Times Cited: 6
Tele-Ophthalmology Versus Face-to-Face Retinal Consultation for Assessment of Diabetic Retinopathy in Diabetes Care Centers in India: A Multicenter Cross-Sectional Study
Ramachandran Rajalakshmi, Ganesan UmaSankari, Vijayaraghavan Prathiba, et al.
Diabetes Technology & Therapeutics (2022) Vol. 24, Iss. 8, pp. 556-563
Open Access | Times Cited: 9
Ramachandran Rajalakshmi, Ganesan UmaSankari, Vijayaraghavan Prathiba, et al.
Diabetes Technology & Therapeutics (2022) Vol. 24, Iss. 8, pp. 556-563
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
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
Tele-ophthalmology for Diabetic Retinopathy
Jingtong Huang, Jorge Cuadros
Elsevier eBooks (2024), pp. 303-313
Closed Access | Times Cited: 1
Jingtong Huang, Jorge Cuadros
Elsevier eBooks (2024), pp. 303-313
Closed Access | Times Cited: 1
The role of artificial intelligence in ophthalmology — brief review
Maria Myślicka, Klaudia Włodarczyk, Aleksandra Kawala-Sterniuk, et al.
Ophthalmology Journal (2024) Vol. 9, pp. 106-113
Open Access | Times Cited: 1
Maria Myślicka, Klaudia Włodarczyk, Aleksandra Kawala-Sterniuk, et al.
Ophthalmology Journal (2024) Vol. 9, pp. 106-113
Open Access | Times Cited: 1
Artificial intelligence, machine learning and deep learning in biomedical fields: A prospect in improvising medical healthcare systems
Wajihul Hasan Khan, Md. Shayan Khan, Nida Khan, et al.
Elsevier eBooks (2024), pp. 55-68
Closed Access | Times Cited: 1
Wajihul Hasan Khan, Md. Shayan Khan, Nida Khan, et al.
Elsevier eBooks (2024), pp. 55-68
Closed Access | Times Cited: 1
Leveraging Artificial Intelligence for Diabetic Retinopathy Screening and Management: History and Current Advances
Ramachandran Rajalakshmi, Thyparambil Aravindakshan Pramodkumar, Abdul Subhan Naziyagulnaaz, et al.
Seminars in Ophthalmology (2024), pp. 1-8
Closed Access | Times Cited: 1
Ramachandran Rajalakshmi, Thyparambil Aravindakshan Pramodkumar, Abdul Subhan Naziyagulnaaz, et al.
Seminars in Ophthalmology (2024), pp. 1-8
Closed Access | Times Cited: 1
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
JohnDavis Akkara, Anju Kuriakose
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 7, pp. 1346-1346
Open Access | Times Cited: 9
Machine Learning Applications in Pediatric Ophthalmology
Isdin Oke, Deborah K. VanderVeen
Seminars in Ophthalmology (2021) Vol. 36, Iss. 4, pp. 210-217
Closed Access | Times Cited: 7
Isdin Oke, Deborah K. VanderVeen
Seminars in Ophthalmology (2021) Vol. 36, Iss. 4, pp. 210-217
Closed Access | Times Cited: 7
Artificial intelligence and healthcare
Akshit Mittal, Aiman Perween Afsar, Anish Tayal, et al.
MAMC Journal of Medical Sciences (2023) Vol. 9, Iss. 2, pp. 81-87
Open Access | Times Cited: 2
Akshit Mittal, Aiman Perween Afsar, Anish Tayal, et al.
MAMC Journal of Medical Sciences (2023) Vol. 9, Iss. 2, pp. 81-87
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
Atul Kumar, Divya Agarwal
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 7, pp. 1347-1347
Open Access | Times Cited: 5
Quantitative analysis of research on Artificial Intelligence in Retinopathy of Prematurity
Ranjana Agrawal, Manasi Anup Agrawal, Sucheta Kulkarni, et al.
(2021)
Closed Access | Times Cited: 4
Ranjana Agrawal, Manasi Anup Agrawal, Sucheta Kulkarni, et al.
(2021)
Closed Access | Times Cited: 4
Macular Imaging
Ogugua Ndubuisi Okonkwo, Chineze Thelma Agweye, Toyin Akanbi, et al.
IntechOpen eBooks (2024)
Open Access
Ogugua Ndubuisi Okonkwo, Chineze Thelma Agweye, Toyin Akanbi, et al.
IntechOpen eBooks (2024)
Open Access
Diagnostic performance of the offline Medios Artificial Intelligence (AI) for glaucoma detection in a rural tele-ophthalmology setting
Swati Upadhyaya, Divya Parthasarathy Rao, Srinivasan Kavitha, et al.
Ophthalmology Glaucoma (2024)
Closed Access
Swati Upadhyaya, Divya Parthasarathy Rao, Srinivasan Kavitha, et al.
Ophthalmology Glaucoma (2024)
Closed Access
ADVANCEMENTS IN RESEARCH: UNVEILING THE FUTURE OF GENERAL, GYNECOLOGICAL, AND OPHTHALMOLOGICAL SURGERIES
Phani Sankar, Naga Bellala
Journal of Cardiovascular Disease Research (2024) Vol. 13, Iss. 6
Open Access
Phani Sankar, Naga Bellala
Journal of Cardiovascular Disease Research (2024) Vol. 13, Iss. 6
Open Access
