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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:

Artificial intelligence for the detection of age-related macular degeneration in color fundus photographs: A systematic review and meta-analysis
Li Dong, Qiong Yang, Ruiheng Zhang, et al.
EClinicalMedicine (2021) Vol. 35, pp. 100875-100875
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Diagnostic capabilities of ChatGPT in ophthalmology
Asaf Shemer, Michal Cohen, Aya Altarescu, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 7, pp. 2345-2352
Closed Access | Times Cited: 21
Diagnostic Accuracy of Artificial Intelligence-Based Automated Diabetic Retinopathy Screening in Real-World Settings: A Systematic Review and Meta-Analysis
Sanil Joseph, Selvaraj Jerrome, Iswarya Mani, et al.
American Journal of Ophthalmology (2024) Vol. 263, pp. 214-230
Closed Access | Times Cited: 14
Genetic Insights into Age-Related Macular Degeneration
Bhumika, Nalini S. Bora, Puran S. Bora
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1479-1479
Open Access | Times Cited: 9
Quantitative approaches in multimodal fundus imaging: State of the art and future perspectives
Alessandro Arrigo, Emanuela Aragona, Maurízio Battaglia Parodi, et al.
Progress in Retinal and Eye Research (2022) Vol. 92, pp. 101111-101111
Open Access | Times Cited: 36
Review of Machine Learning Applications Using Retinal Fundus Images
Yeonwoo Jeong, Yu-Jin Hong, Jae‐Ho Han
Diagnostics (2022) Vol. 12, Iss. 1, pp. 134-134
Open Access | Times Cited: 33
Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Ashish Jith Sreejith Kumar, Rachel S. Chong, Jonathan G. Crowston, et al.
JAMA Ophthalmology (2022) Vol. 140, Iss. 10, pp. 974-974
Open Access | Times Cited: 29
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
Implementing and evaluating a fully functional AI-enabled model for chronic eye disease screening in a real clinical environment
Christos Skevas, Nicolás Pérez de Olaguer, Albert Lleó, et al.
BMC Ophthalmology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
The Predictive Capabilities of Artificial Intelligence-Based OCT Analysis for Age-Related Macular Degeneration Progression—A Systematic Review
George Adrian Muntean, Anca Marginean, Adrian Groza, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2464-2464
Open Access | Times Cited: 14
The Role of Prompt Engineering for Multimodal LLM Glaucoma Diagnosis
Reem Agbareia, Mahmud Omar, Ofira Zloto, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Artificial intelligence and external photographs in ophthalmology: a systematic review
Kenneth Ka Hei Lai, Charmaine B. Lo, Han Wang, et al.
Hong Kong Journal of Ophthalmology (2025) Vol. 28, Iss. 1, pp. 19-32
Open Access
Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis
Ikhwanuliman Putera, Jose D. Vargas Quiros, Saskia M. Rombach, et al.
Ophthalmology and Therapy (2025)
Open Access
Evaluation of the vision mamba model for detecting diabetic retinopathy
Marcos Ferreira, Lucas Cardoso, José Camara, et al.
Procedia Computer Science (2025) Vol. 256, pp. 1151-1158
Open Access
FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images
Zhaomin Yao, Yizhe Yuan, Zhenning Shi, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 17
Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship
Uazman Alam, Matthew Anson, Yanda Meng, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 20, pp. 6199-6199
Open Access | Times Cited: 17
Artificial intelligence in retinal imaging: current status and future prospects
Katharina A. Heger, Sebastian M. Waldstein
Expert Review of Medical Devices (2023) Vol. 21, Iss. 1-2, pp. 73-89
Closed Access | Times Cited: 9
Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD
Guilherme Aresta, Teresa Araújo, Gregor S. Reiter, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 6, pp. 7-7
Open Access | Times Cited: 3
A Comprehensive Review of AI Diagnosis Strategies for Age-Related Macular Degeneration (AMD)
Aya A. Abd El-Khalek, Hossam Magdy Balaha, Ashraf Sewelam, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 711-711
Open Access | Times Cited: 3
Artificial intelligence for diagnosing exudative age-related macular degeneration
Chaerim Kang, Jui‐En Lo, Helen Zhang, et al.
Cochrane library (2024) Vol. 2024, Iss. 10
Closed Access | Times Cited: 3
Binary and multi-class automated detection of age-related macular degeneration using convolutional- and transformer-based architectures
César Domínguez, Jónathan Heras, Eloy Mata, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107302-107302
Open Access | Times Cited: 13
Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies
Pareena Chaitanuwong, Panisa Singhanetr, Methaphon Chainakul, et al.
Neurology and Therapy (2023) Vol. 12, Iss. 5, pp. 1517-1532
Open Access | Times Cited: 7
Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis
Jai Prashar, Nicole Tay
Eye (2023) Vol. 38, Iss. 2, pp. 303-314
Open Access | Times Cited: 7
The Strategic Efficacy of Artificial Intelligence (AI) in Medical Tourism
Olabode Gbobaniyi, Daniela Tincani, Peter Emelone
Advances in hospitality, tourism and the services industry (AHTSI) book series (2024), pp. 99-138
Closed Access | Times Cited: 2
Multimodal LLMs for Retinal Disease Diagnosis via OCT: Few-Shot vs Single-Shot Learning
Reem Agbareia, Mahmud Omar, Ofira Zloto, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
A field-deployable water quality monitoring with machine learning-based smartphone colorimetry
Vakkas Doğan, Tuǧba Isık, Volkan Kılıç, et al.
Analytical Methods (2022) Vol. 14, Iss. 35, pp. 3458-3466
Closed Access | Times Cited: 12
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