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:

An improved supervised and attention mechanism-based U-Net algorithm for retinal vessel segmentation
Zhendi Ma, Xiaobo Li
Computers in Biology and Medicine (2023) Vol. 168, pp. 107770-107770
Closed Access | Times Cited: 15

Showing 15 citing articles:

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 | Times Cited: 1

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 | Times Cited: 1

APPBoost: an adaptive parameter pair boosting algorithm for enhanced robustness against noise and imbalance
Ziheng Wang, Zixuan Shao, Baowei Wang, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access

An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection
Tianbao Liu, Lingling Yang, Ting Li, et al.
Electronic Research Archive (2025) Vol. 33, Iss. 3, pp. 1693-1762
Open Access

Punctured window based multiscale line detector for efficient segmentation of retinal blood vessels
Varun Makkar, Arya Tewary, Brajesh Kumar, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110155-110155
Closed Access

Delving into Transfer Learning within U-Net for Refined Retinal Vessel Segmentation: An Extensive Hyperparameter Analysis
G. Prethija, Jeevaa Katiravan
Photodiagnosis and Photodynamic Therapy (2025), pp. 104620-104620
Open Access

JHN-Seg: Multi-scale vascular segmentation via Joint Hierarchical Morphology learning and noisy label refinement
Z. Zhou, Zheyuan Zhang, Jisu Hu, et al.
Expert Systems with Applications (2025), pp. 128096-128096
Closed Access

Advancing non-invasive fetal health monitoring: A time–frequency approach to extracting fetal electrocardiogram signals
Yiwei Lin, Haifeng Liu, Luyi Ruan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106477-106477
Closed Access | Times Cited: 2

An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images
Syed Ayaz Ali Shah, Aamir Shahzad, Musaed Alhussein, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 2565-2583
Open Access

Optimal U-Net Using Grey Wolf Algorithm for Retinal Vessel Segmentation
Mohammed Khouy, Younes Jabrane, Mustapha Ameur
(2024), pp. 1-6
Closed Access

RAGE-Net: Enhanced retinal vessel segmentation U-shaped network using Gabor convolution
Chongling Yang, Yaorui Tang, Hong Peng, et al.
Digital Signal Processing (2024) Vol. 153, pp. 104643-104643
Closed Access

A classification model of road accumulated snow severity based on the fusion of DeepLabV3 + and U-Net
Yaoyao Pei, Junfan Lu, Henglin Xiao, et al.
Road Materials and Pavement Design (2024), pp. 1-22
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

An adaptive fundus retinal vessel segmentation model capable of adapting to the complex structure of blood vessels
Jianyong Li, Ao Li, Yanhong Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107150-107150
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

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