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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:

A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
H N Veena, A. Muruganandham, T. Senthil Kumaran
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6187-6198
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Automatic Diagnosis of Glaucoma from Retinal Images Using Deep Learning Approach
Ayesha Shoukat, Shahzad Akbar, Syed Ale Hassan, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1738-1738
Open Access | Times Cited: 39
A Comprehensive Review of Deep Learning Strategies in Retinal Disease Diagnosis Using Fundus Images
G Balla, Mohammad Farukh Hashmi, Zong Woo Geem, et al.
IEEE Access (2022) Vol. 10, pp. 57796-57823
Open Access | Times Cited: 54
Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification
Thisara Shyamalee, Dulani Meedeniya
Deleted Journal (2022) Vol. 19, Iss. 6, pp. 563-580
Closed Access | Times Cited: 42
EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network
Neha Sengar, Rakesh Chandra Joshi, Malay Kishore Dutta, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10551-10571
Closed Access | Times Cited: 38
Automated Glaucoma Screening and Diagnosis Based on Retinal Fundus Images Using Deep Learning Approaches: A Comprehensive Review
Mohammad J. M. Zedan, Mohd Asyraf Zulkifley, Ahmad Asrul Ibrahim, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2180-2180
Open Access | Times Cited: 37
Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features
Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1706-1706
Open Access | Times Cited: 28
A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks
Ademola E. Ilesanmi, Taiwo Ilesanmi, Gbenga A. Gbotoso
Healthcare Analytics (2023) Vol. 4, pp. 100261-100261
Open Access | Times Cited: 22
Retinal blood vessel segmentation using pixel-based feature vector
Buket Toptaş, Davut Hanbay
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103053-103053
Closed Access | Times Cited: 43
Fully Automatic Knee Bone Detection and Segmentation on Three-Dimensional MRI
Rania Almajalid, Ming Zhang, Juan Shan
Diagnostics (2022) Vol. 12, Iss. 1, pp. 123-123
Open Access | Times Cited: 29
Applications of Artificial Intelligence and Deep Learning in Glaucoma
Dinah Chen, Emma Anran Ran, Ting Fang Tan, et al.
Asia-Pacific Journal of Ophthalmology (2023) Vol. 12, Iss. 1, pp. 80-93
Open Access | Times Cited: 19
AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis
Imran Qureshi
AI (2025) Vol. 6, Iss. 2, pp. 28-28
Open Access
Facial Recognition Algorithms: A Systematic Literature Review
N Fadel
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 58-58
Open Access
An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
Aziz-Ur Rehman, Imtiaz Ahmad Taj, Muhammad Sajid, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5321-5346
Open Access | Times Cited: 32
Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103283-103283
Closed Access | Times Cited: 26
CNN Based Fundus Images Classification For Glaucoma Identification
Thisara Shyamalee, Dulani Meedeniya
(2022), pp. 200-205
Closed Access | Times Cited: 22
Graph attention autoencoder inspired CNN based brain tumor classification using MRI
Lalita Mishra, Shekhar Verma
Neurocomputing (2022) Vol. 503, pp. 236-247
Closed Access | Times Cited: 21
Towards a Connected Mobile Cataract Screening System: A Future Approach
Wan Mimi Diyana Wan Zaki, Haliza Abdul Mutalib, Laily Azyan Ramlan, et al.
Journal of Imaging (2022) Vol. 8, Iss. 2, pp. 41-41
Open Access | Times Cited: 18
A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema
Muhammad Zubair, Muhammad Umair, Rizwan Ali Naqvi, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101719-101719
Open Access | Times Cited: 10
An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images
Jignyasa Sanghavi, Manish P. Kurhekar
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105770-105770
Closed Access | Times Cited: 8
Which Color Channel Is Better for Diagnosing Retinal Diseases Automatically in Color Fundus Photographs?
Sangeeta Biswas, Md. Iqbal Aziz Khan, Md. Tanvir Hossain, et al.
Life (2022) Vol. 12, Iss. 7, pp. 973-973
Open Access | Times Cited: 12
Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
Anindita Septiarini, Hamdani Hamdani, Emy Setyaningsih, et al.
Healthcare Informatics Research (2023) Vol. 29, Iss. 2, pp. 145-151
Open Access | Times Cited: 7
Highly accurate and precise automated cup-to-disc ratio quantification for glaucoma screening
Abadh K. Chaurasia, Connor J Greatbatch, Xikun Han, et al.
Ophthalmology Science (2024) Vol. 4, Iss. 5, pp. 100540-100540
Open Access | Times Cited: 2
Optimizing Glaucoma Diagnosis with Deep Learning-Based Segmentation and Classification of Retinal Images
Nora A. Alkhaldi, Ruqayyah E. Alabdulathim
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7795-7795
Open Access | Times Cited: 2
Enhanced glaucoma detection using ensemble based CNN and spatially based ellipse fitting curve model
Dominique David
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 4, pp. 3303-3314
Closed Access | Times Cited: 17
Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space
Buket Toptaş, Murat Toptaş, Davut Hanbay
Journal of Digital Imaging (2022) Vol. 35, Iss. 2, pp. 302-319
Open Access | Times Cited: 9
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