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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:

RADCU-Net: residual attention and dual-supervision cascaded U-Net for retinal blood vessel segmentation
Yong Yang, Weiguo Wan, Shuying Huang, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 5, pp. 1605-1620
Closed Access | Times Cited: 17

Showing 17 citing articles:

VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye, Xiaoqing Zhang, Yan Hu, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 1090-1105
Closed Access | Times Cited: 1
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism
Weiping Ding, Ying Sun, Jiashuang Huang, et al.
Information Sciences (2023) Vol. 657, pp. 120007-120007
Closed Access | Times Cited: 16
DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation
Mauricio Alberto Ortega-Ruíz, Cefa Karabağ, Edgar Román-Rangel, et al.
IEEE Access (2024) Vol. 12, pp. 40412-40424
Open Access | Times Cited: 6
MPFC-Net: A multi-perspective feature compensation network for medical image segmentation
Xianghu Wu, Shucheng Huang, Xin Shu, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123430-123430
Closed Access | Times Cited: 4
DCHA-Net: Dynamic convolution and hybrid attention network for retinal vessel segmentation
Yun Jiang, Wenping Liu, Jie Chen, et al.
Intelligent Data Analysis (2025)
Closed Access
Improvement of Retinal Vessel Segmentation Method Based on U-Net
Ning Wang, Kefeng Li, Guangyuan Zhang, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 262-262
Open Access | Times Cited: 9
Research on Retinal Vessel Segmentation Algorithm Based on a Modified U-Shaped Network
Xialan He, Ting Wang, Wankou Yang
Applied Sciences (2024) Vol. 14, Iss. 1, pp. 465-465
Open Access | Times Cited: 3
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation
Kaidi Hu, Zongxia Xie, Qinghua Hu
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 7, pp. 2987-3003
Closed Access | Times Cited: 3
Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
Ahmed Alsayat, Mahmoud Elmezain, Saad Alanazi, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3364-3364
Open 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
SDA-UNet: a hepatic vein segmentation network based on the spatial distribution and density awareness of blood vessels
Guoyu Tong, Huiyan Jiang, Yudong Yao
Physics in Medicine and Biology (2023) Vol. 68, Iss. 3, pp. 035009-035009
Closed Access | Times Cited: 5
Automated Computationally Intelligent Methods for Ocular Vessel Segmentation and Disease Detection: A Review
Preity, Ashish Kumar Bhandari, S. Shahnawazuddin
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 701-724
Closed Access | Times Cited: 5
Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Prem Kumari Verma, Jagdeep Kaur
Deleted Journal (2024)
Open Access | Times Cited: 1
Spatial attention U-Net model with Harris hawks optimization for retinal blood vessel and optic disc segmentation in fundus images
Puranam Revanth Kumar, B. Shilpa, Rajesh Kumar Jha, et al.
International Ophthalmology (2024) Vol. 44, Iss. 1
Closed Access | Times Cited: 1
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
Guoyu Tong, Huiyan Jiang, Tianyu Shi, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4878-4889
Closed Access | Times Cited: 3
DmADs-Net: dense multiscale attention and depth-supervised network for medical image segmentation
Zhaojin Fu, Jinjiang Li, Zheng Chen, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
DEAF-Net: Detail-Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation
Pengfei Cai, Biyuan Li, Gaowei Sun, et al.
Deleted Journal (2024)
Closed Access
Segmentation of Retinal Blood Vessels and Optic Disc Using Deep Neural Networks: State-Of-The-Art Review
Saba Sheiba, M. Neelakantappa, Amjan Shaik
Studies in systems, decision and control (2024), pp. 139-152
Closed Access
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