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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:

Optic Disc and Optic Cup Segmentation for Glaucoma Detection from Blur Retinal Images Using Improved Mask-RCNN
Tahira Nazir, Aun Irtaza, В. В. Старовойтов
International Journal of Optics (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization
Marriam Nawaz, Tahira Nazir, Ali Javed, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 434-434
Open Access | Times Cited: 101
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: 39
Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)
Tahira Nazir, Marriam Nawaz, Momina Masood, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109778-109778
Closed Access | Times Cited: 25
Multi categorical of common eye disease detect using convolutional neural network: a transfer learning approach
Abu Kowshir Bitto, Imran Mahmud
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 4, pp. 2378-2387
Open Access | Times Cited: 24
Automatic Detection of Glaucoma from Retinal Fundus Images Using Convolutional Neural Network Model, Xception
Smita Das, Madhusudhan Mishra, Swanirbhar Majumder
(2025), pp. 195-204
Closed Access
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: 3
Hybrid glaucoma detection model based on reflection components separation from retinal fundus images
Zefree Lazarus Mayaluri, Satyabrata Lenka
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 8
Optimized convolutional neural network for glaucoma detection with improved optic-cup segmentation
Piyush Bhushan Singh, Pawan Kumar Singh, Harsh Dev
Advances in Engineering Software (2022) Vol. 175, pp. 103328-103328
Closed Access | Times Cited: 12
Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs
Gendry Alfonso-Francia, Jesús Carlos Pedraza‐Ortega, Mariana Badillo-Fernández, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3031-3031
Open Access | Times Cited: 10
Glaucoma Diagnosis Based on Retinal Fundus Image: A Review
Hussein Mahdi, Nidhal El Abbadi
Iraqi Journal of Science (2022), pp. 4022-4046
Open Access | Times Cited: 9
Artificial Intelligence Techniques Based Learner Authentication in Cybersecurity Higher Education Institutions
Abdullah Alghamdi, Mahmoud Ragab
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 2, pp. 3131-3144
Open Access | Times Cited: 8
The Optic Disc Detection and Segmentation in Retinal Fundus Images Utilizing You Only Look Once (YOLO) Method
Zahraa Jabbar Hussein, Enas Hamood Al-Saadi
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 509-528
Open Access | Times Cited: 1
Two stage-network: Automatic localization of Optic Disc (OD) and classification of glaucoma in fundus images using deep learning techniques
Huma Sheraz, Tehmina Shehryar, Zuhaib Ahmed Khan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Deep learning-based algorithm for automated detection of glaucoma on eye fundus images
Hervé Tampa, Martial Mekongo, Alain Tiedeu
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Research and application of tongue and face diagnosis based on deep learning
Li Feng, Zong Hai Huang, Yan Zhong, et al.
Digital Health (2022) Vol. 8, pp. 205520762211244-205520762211244
Open Access | Times Cited: 6
Quasi-Oppositional Satin Bowerbird with Deep Learning based Content based Image Retrieval
Devesh Pratap Singh, Susheel George Joseph, V. Tamil Selvi, et al.
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022), pp. 998-1005
Closed Access | Times Cited: 3
Glaucoma Detection using Mask Region-Based Convolutional Neural Networks
Akanksha Singh Patel, Varun Singh
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2021), pp. 1642-1647
Closed Access | Times Cited: 4
Automated Optic Disc Localization from Smartphone-Captured Low Quality Fundus Images using YOLOv8n-Based Model
Solomon Gebru Abay, Luc Geurts
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-6
Open Access
Improving Glaucoma Detection: Harnessing the Power of Ensemble Semantic Segmentation for Optic Disc and Optic Cup with Deep Learning
Yasser Ahmed Dahab
Aswan University Journal of Sciences and Technology/Aswan University Journal of Sciences and Technology (2024) Vol. 4, Iss. 1, pp. 1-14
Open Access
Glaucoma stage classification using UNET-based segmentation with multiple feature extraction technique
Jeya Shyla N. S., W. R. Sam Emmanuel
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74955-74971
Closed Access
Precise lesion analysis to detect diabetic retinopathy using Generative Adversarial Network(GAN) and Mask-RCNN
Aryan Aryan, Rapti Chaudhuri, Suman Deb
Procedia Computer Science (2024) Vol. 235, pp. 520-529
Open Access
An Elaborate Review of Diagnosing Glaucoma Disease Using Machine Learning and Deep Learning Techniques
R. Thamilselvan, P. Natesan, R.R. Rajalaxmi, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023) Vol. 12, pp. 1-9
Closed Access | Times Cited: 1
Identification of Diabetic Retinopathy Using Robust Segmentation Through Mask RCNN
Aryan Aryan, Suman Deb
Lecture notes in networks and systems (2023), pp. 39-48
Closed Access | Times Cited: 1
Improved U-Net Performance with Augmentation for Retinal Optic Segmentation
Anita Desiani, Sigit Priyanta, Indri Ramayanti, et al.
(2023), pp. 284-289
Closed Access | Times Cited: 1
Analysis of Consumers’ Emotional Preference for Color Reproduction on Mobile Phone Screens
Xuejie Song, Jing Liang, Nianyu Zou, et al.
Lecture notes in electrical engineering (2023), pp. 15-23
Closed Access
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