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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 retinal vessel segmentation network with multiple-dimension attention and adaptive feature fusion
Jianyong Li, Ge Gao, Lei Yang, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108315-108315
Closed Access | Times Cited: 12

Showing 12 citing articles:

Deep learning for retinal vessel segmentation: a systematic review of techniques and applications
Zhihui Liu, Mohd Shahrizal Sunar, Tan Tian Swee, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Multi-Scale Three-Path Network (MSTP-Net): A new architecture for retinal vessel segmentation
Jiahao Wang, Xiaobo Li, Zhendi Ma
Measurement (2025), pp. 117100-117100
Closed Access
WLKA-RVS: a retinal vessel segmentation method using weighted large kernel attention
Jiayao Li, Min Zeng, Chenxi Wu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Dual-channel compression mapping network with fused attention mechanism for medical image segmentation
Xiaokang Ding, Kai Qian, Qile Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Hierarchical Full-Resolution Fusion Network and Topology-aware Connectivity Booster for Retinal Vessel Segmentation
Hexing Su, Le Gao, Zhimin Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Closed Access | Times Cited: 2
Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises
Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109399-109399
Closed Access | Times Cited: 1
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
MARes-Net: multi-scale attention residual network for jaw cyst image segmentation
Xiaokang Ding, Xiaoliang Jiang, Huixia Zheng, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
A multi-scale feature extraction and fusion-based model for retinal vessel segmentation in fundus images
Jinzhi Zhou, Guoqiang Ma, Haoyang He, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Mid-Net: Rethinking Efficient Network Architectures for Small-Sample Vascular Segmentation
Dongxin Zhao, Jianhua Liu, Peng Geng, et al.
Information Fusion (2024), pp. 102777-102777
Closed Access
DCFU‐Net: Rethinking an Effective Attention and Convolutional Architecture for Retinal Vessel Segmentation
Yongli Xian, Guangxin Zhao, Xuejian Chen, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Closed Access
Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet
Amit Bhati, Samir Jain, Neha Gour, et al.
Computers in Biology and Medicine (2024) Vol. 186, pp. 109592-109592
Closed Access
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