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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:

Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies
Gabriel García, Adrián Colomer, Valery Naranjo
Computer Methods and Programs in Biomedicine (2020) Vol. 200, pp. 105855-105855
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Artificial intelligence and machine learning in ophthalmology: A review
Ojas Srivastava, Matthew Tennant, Parampal S. Grewal, et al.
Indian Journal of Ophthalmology (2022) Vol. 71, Iss. 1, pp. 11-17
Open Access | Times Cited: 39
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013–2023)
Muhammed Halil Akpınar, Abdulkadir Şengür, Oliver Faust, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108253-108253
Closed Access | Times Cited: 10
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning‐nature driven computing
Law Kumar Singh, Munish Khanna, Shankar Thawkar
Expert Systems (2022) Vol. 39, Iss. 10
Closed Access | Times Cited: 30
Machine Learning Methods for Diagnosis of Eye-Related Diseases: A Systematic Review Study Based on Ophthalmic Imaging Modalities
Qaisar Abbas, Imran Qureshi, Junhua Yan, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3861-3918
Closed Access | Times Cited: 28
Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 19, pp. 27737-27781
Open Access | Times Cited: 28
Predicting glaucoma progression using deep learning framework guided by generative algorithm
Shaista Hussain, Jacqueline Chua, Damon Wing Kee Wong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Glaucoma diagnosis in the era of deep learning: A survey
Mona Ashtari-Majlan, Mohammad Mahdi Dehshibi, David Masip
Expert Systems with Applications (2024) Vol. 256, pp. 124888-124888
Open Access | Times Cited: 6
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
Performances of Machine Learning in Detecting Glaucoma Using Fundus and Retinal Optical Coherence Tomography Images: A Meta-Analysis
Jo‐Hsuan Wu, Takashi Nishida, Robert N. Weinreb, et al.
American Journal of Ophthalmology (2021) Vol. 237, pp. 1-12
Closed Access | Times Cited: 38
Lights and Shadows on Artificial Intelligence in Glaucoma: Transforming Screening, Monitoring, and Prognosis
Alessio Martucci, Gabriele Gallo Afflitto, Giulio Pocobelli, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 7, pp. 2139-2139
Open Access
Interpretable Dimensionality Reduction in 3D Image Recognition with Small Sample Sizes
I. V. Koptev, Jiacheng Tian, Eddie Peel, et al.
Journal of Nondestructive Evaluation (2025) Vol. 44, Iss. 2
Open Access
Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images
A. P. Sunija, Varun P. Gopi, P. Palanisamy
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103192-103192
Closed Access | Times Cited: 27
SMFDNet: spatial and multi-frequency domain network for OCT angiography retinal vessel segmentation
Sien Li, Fei Ma, Feng Yan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms
Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Knowledge-Based Systems (2025), pp. 113333-113333
Closed Access
Optic disc and cup segmentation methods for glaucoma detection using twin- inception transformer hinge attention network with cycle consistent convolutional neural network
C. Rekha, K. Jayashree
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107844-107844
Closed Access
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
Gabriel García, Rocío del Amor, Adrián Colomer, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102132-102132
Open Access | Times Cited: 25
Identifying the Retinal Layers Linked to Human Contrast Sensitivity Via Deep Learning
Foroogh Shamsi, Rong Liu, Cynthia Owsley, et al.
Investigative Ophthalmology & Visual Science (2022) Vol. 63, Iss. 2, pp. 27-27
Open Access | Times Cited: 18
An IoT based predictive modeling for Glaucoma detection in optical coherence tomography images using hybrid genetic algorithm
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 26, pp. 37203-37242
Closed Access | Times Cited: 17
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
Artificial intelligence for the detection of glaucoma with SD-OCT images: a systematic review and Meta-analysis
Nannan Shi, Guanghui Liu, Ming-Fang Cao
International Journal of Ophthalmology (2024) Vol. 17, Iss. 3, pp. 408-419
Open Access | Times Cited: 3
Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening
Mark Christopher, Shahin Hallaj, Anuwat Jiravarnsirikul, et al.
Journal of Glaucoma (2024) Vol. 33, Iss. 8S, pp. S26-S32
Closed Access | Times Cited: 3
Artificial intelligence in glaucoma: posterior segment optical coherence tomography
Alfredo Gutiérrez, Teresa C. Chen
Current Opinion in Ophthalmology (2022)
Open Access | Times Cited: 10
Glaucoma detection using novel perceptron based convolutional multi-layer neural network classification
Romany F. Mansour, Abdulsamad Al-Marghilnai
Multidimensional Systems and Signal Processing (2021) Vol. 32, Iss. 4, pp. 1217-1235
Closed Access | Times Cited: 12
Image Recognition and Threat Detection in Bags Arriving at the Airport
I. V. Koptev, Cameron Walker, Andreas W. Kempa-Liehr
Lecture notes in computer science (2024), pp. 29-42
Closed Access | Times Cited: 1
RETRACTED: Design and development of SER-UNet model for glaucoma image analysis
C Gobinath, M. P. Gopinath
Journal of Electronic Imaging (2022) Vol. 31, Iss. 04
Closed Access | Times Cited: 6
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