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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–Assisted Detection of Glaucoma Progression in Spectral-Domain OCT
Eduardo B. Mariottoni, Shounak Datta, Leonardo Shigueoka, et al.
Ophthalmology Glaucoma (2022) Vol. 6, Iss. 3, pp. 228-238
Closed Access | Times Cited: 17

Showing 17 citing articles:

Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection
Yan Zhu, Rebecca Salowe, Caven Chow, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 122-122
Open Access | Times Cited: 13
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Xiaoqin Huang, Md Rafiqul Islam, Shanjita Akter, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 17
The AI Revolution in Glaucoma: Bridging Challenges with Opportunities
Fei Li, Biao Wang, Zefeng Yang, et al.
Progress in Retinal and Eye Research (2024) Vol. 103, pp. 101291-101291
Closed Access | Times Cited: 6
Prediction and Detection of Glaucomatous Visual Field Progression Using Deep Learning on Macular Optical Coherence Tomography
Jonathan Huang, Galal Galal, Vladislav Mukhin, et al.
Journal of Glaucoma (2024) Vol. 33, Iss. 4, pp. 246-253
Closed Access | Times Cited: 4
Utilization of Image-based Deep Learning in Multimodal Glaucoma Detection Neural Network from a Primary Patient Cohort
Elizabeth E. Hwang, Dake Chen, Ying Han, et al.
Ophthalmology Science (2025) Vol. 5, Iss. 3, pp. 100703-100703
Closed Access
Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis
Xiao Chun Ling, Henry Shen-Lih Chen, Po‐Han Yeh, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 420-420
Open Access
Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management
Xiang Ji, Vethushan Ramalingam, Michael Balas, et al.
Journal of Clinical & Translational Ophthalmology (2024) Vol. 2, Iss. 2, pp. 47-63
Open Access | Times Cited: 3
Use of artificial intelligence in forecasting glaucoma progression
Sahil Thakur, Linh Le Dinh, Raghavan Lavanya, et al.
Taiwan Journal of Ophthalmology (2023) Vol. 13, Iss. 2, pp. 168-183
Open Access | Times Cited: 8
Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs
Elizabeth E. Hwang, Dake Chen, Ying Han, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1266-1266
Open Access | Times Cited: 8
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
OCT Images Diagnosis Based on Deep Learning – A Review
Abdo Sulaiman Abdi, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Dense Convolutional Neural Network-Based Deep Learning Pipeline for Pre-Identification of Circular Leaf Spot Disease of Diospyros kaki Leaves Using Optical Coherence Tomography
Tharindu D. Kalupahana, Nipun Shantha Kahatapitiya, Bhagya Nathali Silva, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5398-5398
Open Access | Times Cited: 1
Application of artificial intelligence in glaucoma care: An updated review
Jo‐Hsuan Wu, Shan C. Lin, Sasan Moghimi
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 3, pp. 340-351
Open Access | Times Cited: 1
Artificial intelligence for glaucoma: state of the art and future perspectives
Rafael Correia Barão, Ruben Hemelings, Luis M. G. Abegão, et al.
Current Opinion in Ophthalmology (2023) Vol. 35, Iss. 2, pp. 104-110
Closed Access | Times Cited: 2
Application of artificial intelligence in glaucoma. Part 2. Neural networks and machine learning in the monitoring and treatment of glaucoma
Н. И. Курышева, Oxana Ye. Rodionova, Alexey L. Pomerantsev, et al.
Russian Annals of Ophthalmology (2024) Vol. 140, Iss. 4, pp. 80-80
Closed Access
Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma
Nicholas Riina, Alon Harris, Brent Siesky, et al.
Investigative Ophthalmology & Visual Science (2024) Vol. 65, Iss. 11, pp. 16-16
Open Access
Diagnosing glaucoma progression with optical coherence tomography
Laura D. Palmer, Atalie C. Thompson, Sanjay Asrani
Current Opinion in Ophthalmology (2024)
Closed Access
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