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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:

Comprehensive Review on the Use of Artificial Intelligence in Ophthalmology and Future Research Directions
Nicoleta Anton, Bogdan Doroftei, Silvia Curteanu, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 100-100
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Performance of Generative Large Language Models on Ophthalmology Board–Style Questions
Louis Cai, Abdulla Shaheen, Andrew Jin, et al.
American Journal of Ophthalmology (2023) Vol. 254, pp. 141-149
Closed Access | Times Cited: 86
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 21
Exploring Generative Artificial Intelligence-Assisted Medical Education: Assessing Case-Based Learning for Medical Students
Matthew Sauder, Tara Tritsch, Vijay Rajput, et al.
Cureus (2024)
Open Access | Times Cited: 10
Evaluation of Convolutional Neural Networks (CNNs) in Identifying Retinal Conditions Through Classification of Optical Coherence Tomography (OCT) Images
Rohin R. Teegavarapu, Harshal A. Sanghvi, Triya Belani, et al.
Cureus (2025)
Open Access | Times Cited: 1
Current Application and Future Prospects of Artificial Intelligence in Healthcare and Medical Education: A Review of Literature
Girish Joseph, Neena Bhatti, Rohit Mittal, et al.
Cureus (2025)
Open Access | Times Cited: 1
“Spaceflight-to-Eye Clinic”: Terrestrial advances in ophthalmic healthcare delivery from space-based innovations
Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, et al.
Life Sciences in Space Research (2024) Vol. 41, pp. 100-109
Closed Access | Times Cited: 7
Confirmation bias in AI-assisted decision-making: AI triage recommendations congruent with expert judgments increase psychologist trust and recommendation acceptance
Anna Bashkirova, Dario Krpan
Computers in Human Behavior Artificial Humans (2024) Vol. 2, Iss. 1, pp. 100066-100066
Open Access | Times Cited: 6
Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review
Hesam Hashemian, Tünde Pető, Renato Ambrósio, et al.
Journal of Ophthalmic and Vision Research (2024)
Open Access | Times Cited: 6
“Applications of Multimodal Generative AI in a Real-World Retina Clinic Setting”
Seyyedehfatemeh Ghalibafan, David J. Taylor Gonzalez, Louis Cai, et al.
Retina (2024) Vol. 44, Iss. 10, pp. 1732-1740
Closed Access | Times Cited: 5
Artificial intelligence chatbot interpretation of ophthalmic multimodal imaging cases
Andrew Mihalache, Ryan S. Huang, Miguel Cruz-Pimentel, et al.
Eye (2024) Vol. 38, Iss. 13, pp. 2491-2493
Closed Access | Times Cited: 4
Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images
Owen Cruz-Abrams, Ricardo Dodds Rojas, David H. Abramson
Ophthalmic Genetics (2025), pp. 1-6
Open Access
Role of artificial intelligence, machine learning and deep learning models in corneal disorders – A narrative review
Bharat Gurnani, Kirandeep Kaur, VaitheeswaranGanesan Lalgudi, et al.
Journal Français d Ophtalmologie (2024) Vol. 47, Iss. 7, pp. 104242-104242
Closed Access | Times Cited: 3
Explainable Artificial Intelligence: A Survey of the Need, Techniques, Applications, and Future Direction
Melkamu Mersha, Khang Lamb, Joseph Wood, et al.
(2024)
Closed Access | Times Cited: 2
Role of Machine Learning and Artificial Intelligence in the Diagnosis and Treatment of Refractive Errors for Enhanced Eye Care: A Systematic Review
Taghreed Alnahedh, Mohammed Abu Taha
Cureus (2024)
Open Access | Times Cited: 2
Computational methods in glaucoma research: Current status and future outlook
Minjae J. Kim, Cole A. Martin, Jin‐Hwa Kim, et al.
Molecular Aspects of Medicine (2023) Vol. 94, pp. 101222-101222
Open Access | Times Cited: 6
Potential Impact and Challenges of Implementing Artificial Intelligence in the Romanian Healthcare System
Sebastian Fitzek, Kyung‐Eun Choi
Postmodernism Problems (2023) Vol. 13, Iss. 2, pp. 148-192
Open Access | Times Cited: 5
Artificial Intelligence and the Future of Computer-Assisted Medical Research and Writing
Jonathan J. Dutton
Ophthalmic Plastic and Reconstructive Surgery (2023) Vol. 39, Iss. 3, pp. 203-205
Closed Access | Times Cited: 4
A shift in psychiatry through AI? Ethical challenges
Saskia Wilhelmy, Giancarlo Giupponi, Dominik Groß, et al.
Annals of General Psychiatry (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 4
A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification
Clare A. Primiero, Brigid Betz‐Stablein, Nathan Ascott, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
A deep learning-based image analysis for assessing the extent of abduction in abducens nerve palsy patients before and after strabismus surgery
Ziying Zhou, Shengqiang Shi, Xiajing Tang, et al.
Advances in Ophthalmology Practice and Research (2024) Vol. 4, Iss. 4, pp. 202-208
Open Access | Times Cited: 1
Explainable Artificial Intelligence in Deep Learning Neural Nets-Based Digital Images Analysis
Alexey Averkin, Egor N. Volkov, Sergey Yarushev
Journal of Computer and Systems Sciences International (2024) Vol. 63, Iss. 1, pp. 175-203
Closed Access | Times Cited: 1
Explainable artificial intelligence in deep learning neural nets-based digital images analysis
Alexey Averkin, Egor N. Volkov, Sergey Yarushev
Известия Российской академии наук Теория и системы управления (2024), Iss. 1, pp. 150-178
Closed Access | Times Cited: 1
Application of AlexNet, EfficientNetV2B0, and VGG19 with Explainable AI for Cataract and Glaucoma Image Classification
Muhammad Fauzi Fayyad, Mustakim Mustakim
2022 International Electronics Symposium (IES) (2024) Vol. 53, pp. 406-412
Closed Access | Times Cited: 1
Recent evidence of economic evaluation of artificial intelligence in ophthalmology
Paisan Ruamviboonsuk, Varis Ruamviboonsuk, Richa Tiwari
Current Opinion in Ophthalmology (2023) Vol. 34, Iss. 5, pp. 449-458
Closed Access | Times Cited: 3
Deep Learning Ocular Disease Detection System (ODDS)
Priya Thiagarajan, M. Suguna
Lecture notes in computer science (2023), pp. 213-224
Closed Access | Times Cited: 1
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