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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:

Deep learning for detection of age-related macular degeneration: A systematic review and meta-analysis of diagnostic test accuracy studies
Xiangjie Leng, Ruijie Shi, Yanxia Wu, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284060-e0284060
Open Access | Times Cited: 16

Showing 16 citing articles:

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
Artificial intelligence in age-related macular degeneration: state of the art and recent updates
Emanuele Crincoli, Riccardo Sacconi, Lea Querques, et al.
BMC Ophthalmology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Interpretation of Clinical Retinal Images Using an Artificial Intelligence Chatbot
Andrew Mihalache, Ryan S. Huang, David Mikhail, et al.
Ophthalmology Science (2024) Vol. 4, Iss. 6, pp. 100556-100556
Open Access | Times Cited: 6
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
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Guilherme Oliveira, Gustavo Henrique de Rosa, Daniel Carlos Guimarães Pedronette, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106263-106263
Open Access | Times Cited: 5
A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials
Raheem Remtulla, Adam Samet, Merve Kulbay, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 284-284
Open Access
RetNet: A Two-Stage Deep Neural Network for Clinically Traceable Retinal Disease Classification
Rohan Banerjee, Sanjoy Kumar Saha, Tapabrata Chakraborti
Lecture notes in electrical engineering (2025), pp. 44-54
Closed Access
Novel Approaches for Early Detection of Retinal Diseases Using Artificial Intelligence
Francesco Saverio Sorrentino, Lorenzo Gardini, Luigi Fontana, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 7, pp. 690-690
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
Detection of diabetic retinopathy and age-related macular degeneration using DenseNet based neural networks
Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Human versus Artificial Intelligence: Validation of a Deep Learning Model for Retinal Layer and Fluid Segmentation in Optical Coherence Tomography Images from Patients with Age-Related Macular Degeneration
Mariana Miranda, Joana Oliveira, Ana Maria Mendonça, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 975-975
Open Access | Times Cited: 2
Avanços recentes da IA na oftalmologia - revisão de literatura
Vítor Alcântara Lopes Pionório, Décio Fragata da Silva, Julia Lopes Pionório
Brazilian Journal of Health Review (2024) Vol. 7, Iss. 3, pp. e69712-e69712
Open Access | Times Cited: 1
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review
Niveen Nasr El-Den, Mohamed Elsharkawy, Ibrahim A. Hameed, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 1
Deep Learning Approach for Age-related Macular Degeneration Detection Using Retinal Images: Efficacy Evaluation of Different Deep Learning Models
Ngoc Thien Le, Thanh Le Truong, Pear Pongsachareonnont, et al.
Egyptian Informatics Journal (2023) Vol. 24, Iss. 4, pp. 100402-100402
Open Access | Times Cited: 3
Pan-Ret: a semi-supervised framework for scalable detection of pan-retinal diseases
Rohini Banerjee, Rakhshanda Mujib, Prayas Sanyal, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Survey on age-related macular degeneration detection in OCT image
S. Renu Deepti, P. C. Karthik
International Journal of Computers and Applications (2023) Vol. 46, Iss. 2, pp. 101-112
Closed Access | Times Cited: 1
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