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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:

Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images
Aws A. Abdulsahib, Moamin A. Mahmoud, Mazin Abed Mohammed, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2021) Vol. 10, Iss. 1
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition
Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3922-3922
Open Access | Times Cited: 101
Optimal deep learning based fusion model for biomedical image classification
Romany F. Mansour, Nada M. Alfar, S. Abdel‐Khalek, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Closed Access | Times Cited: 57
RetinaRegNet: A zero-shot approach for retinal image registration
Vishal Balaji Sivaraman, Muhammad Imran, Qingyue Wei, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109645-109645
Open Access | Times Cited: 1
An Automated Image Segmentation and Useful Feature Extraction Algorithm for Retinal Blood Vessels in Fundus Images
Aws A. Abdulsahib, Moamin A. Mahmoud, Hazleen Aris, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1295-1295
Open Access | Times Cited: 36
Human treelike tubular structure segmentation: A comprehensive review and future perspectives
Hao Li, Zeyu Tang, Nan Yang, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106241-106241
Open Access | Times Cited: 31
A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images
Law Kumar Singh, Munish Khanna, Hitendra Garg, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
Mayfly optimization with deep learning enabled retinal fundus image classification model
Indresh Kumar Gupta, Abha Choubey, Siddhartha Choubey
Computers & Electrical Engineering (2022) Vol. 102, pp. 108176-108176
Closed Access | Times Cited: 25
GCHA-Net: Global context and hybrid attention network for automatic liver segmentation
Huaxiang Liu, Youyao Fu, Shiqing Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106352-106352
Closed Access | Times Cited: 19
Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy
Hesham Abdushkour, Toufique Ahmed Soomro, Ahmed Ali, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0288792-e0288792
Open Access | Times Cited: 11
Automatic artery/vein classification methods for retinal blood vessel: A review
Qihan Chen, Jianqing Peng, Shen Zhao, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 113, pp. 102355-102355
Closed Access | Times Cited: 4
Grad-CAM based explanations for multiocular disease detection using Xception net
M Raveenthini, R Lavanya, Raúl Benítez
Image and Vision Computing (2025), pp. 105419-105419
Closed Access
Enhanced Multi-Label Ocular Disease Identification Using a Quantum Convolutional Neural Network Approach Based on Fundus Images
Ans Ibrahim Mahameed Alqassab, Miguel-Ángel Luque-Nieto, Mazin Abed Mohammed
(2025)
Closed Access
A fast and fully automated system for segmenting retinal blood vessels in fundus images
Ans Ibrahim Mahameed Alqassab, Miguel-Ángel Luque-Nieto
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
FRNet V2: A Lightweight Full-Resolution Convolutional Neural Network for OCTA Vessel Segmentation
Dongxu Gao, Liang Wang, Youtong Fang, et al.
Biomimetics (2025) Vol. 10, Iss. 4, pp. 207-207
Open Access
Retinal blood vessel segmentation by using the MS-LSDNet network and geometric skeleton reconnection method
Hongwei Du, Xinyue Zhang, Gang Song, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106416-106416
Closed Access | Times Cited: 18
A Review on Retinal Blood Vessel Enhancement and Segmentation Techniques for Color Fundus Photography
Sakambhari Mahapatra, Sanjay Agrawal, Pranaba K. Mishro, et al.
Critical Reviews in Biomedical Engineering (2023) Vol. 52, Iss. 1, pp. 41-69
Closed Access | Times Cited: 7
VGA‐Net: Vessel graph based attentional U‐Net for retinal vessel segmentation
Yeganeh Jalali, Mansoor Fateh, Mohsen Rezvani
IET Image Processing (2024) Vol. 18, Iss. 8, pp. 2191-2213
Open Access | Times Cited: 2
An optimization of color halftone visual cryptography scheme based on Bat algorithm
Firas Mohammed Aswad, Ihsan Salman, Salama A. Mostafa
Journal of Intelligent Systems (2021) Vol. 30, Iss. 1, pp. 816-835
Open Access | Times Cited: 15
Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss
Ji-Wei Wu, Shibin Xuan
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Improving the Curvelet Saliency and Deep Convolutional Neural Networks for Diabetic Retinopathy Classification in Fundus Images
Vo Thi Hong Tuyet, Nguyễn Thanh Bình, Tin T. Dang
Engineering Technology & Applied Science Research (2022) Vol. 12, Iss. 1, pp. 8204-8209
Open Access | Times Cited: 8
A high accuracy segmentation method for retinal blood vessel detection based on hybrid filters and an adaptive thresholding
Imane Mehidi, Djamel Eddine Chouaib Belkhiat, Dalel Jabri
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 15, Iss. 1, pp. 323-335
Closed Access | Times Cited: 8
End-to-End Automatic Classification of Retinal Vessel Based on Generative Adversarial Networks with Improved U-Net
Jieni Zhang, Kun Yang, Zhufu Shen, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1148-1148
Open Access | Times Cited: 4
Synthetic OCT-A blood vessel maps using fundus images and generative adversarial networks
Ivan Coronado, Samiksha Pachade, Emanuele Trucco, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images
Minasadat Attari, Nguyen P. Nguyen, Kannappan Palaniappan, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 4
Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
Jinghao Qu, Xiaoran Qin, Zijun Xie, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
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