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 shape-guided deep residual network for automated CT lung segmentation
Lei Yang, Yuge Gu, Benyan Huo, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 108981-108981
Closed Access | Times Cited: 14

Showing 14 citing articles:

Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images
Yanhong Liu, Ji Shen, Lei Yang, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106341-106341
Closed Access | Times Cited: 53

A deep segmentation network for crack detection with progressive and hierarchical context fusion
Lei Yang, Hanyun Huang, Shuyi Kong, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106886-106886
Closed Access | Times Cited: 25

DA-Net: Deep Attention Network for Biomedical Image Segmentation
Yingyan Gu, Yan Wang, Ye Hua, et al.
Signal Processing Image Communication (2025), pp. 117283-117283
Closed Access

SC-Net: Symmetrical conical network for colorectal pathology image segmentation
Gang Zhang, Zifen He, Yinhui Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108119-108119
Closed Access | Times Cited: 4

DCNet: Diversity convolutional network for ventricle segmentation on short-axis cardiac magnetic resonance images
Feiyan Li, Weisheng Li, Xinbo Gao, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110033-110033
Closed Access | Times Cited: 10

DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation
Jianyong Li, Ge Gao, Lei Yang, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3810-3810
Open Access | Times Cited: 10

Lung Segmentation in CT scans with Residual Convolutional and Attention Learning-based U-Net
Manju Dabass, Anuj Chandalia, Hitesh Gupta, et al.
(2023), pp. 240-245
Closed Access | Times Cited: 2

Deep Learning-Assisted Real-Time Wall Shear Stress Measurement on Chicken Embryo Heart Using Spectral Domain Optical Coherence Tomography
Baihang Song, Huiwen Jiang, Jian Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access

Application of Artificial Intelligence in Thoracic Diseases
Fei Shan, Minwen Zheng
(2024), pp. 153-160
Closed Access

SMANet: Superpixel-guided multi-scale attention network for medical image segmentation
Yiwei Shen, Junchen Guo, Yan Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107062-107062
Closed Access

Multi-scale feature fusion network with local attention for lung segmentation
Yinghua Xie, Yuntong Zhou, Chen Wang, et al.
Signal Processing Image Communication (2023) Vol. 119, pp. 117042-117042
Closed Access | Times Cited: 1

BGSNet: A cascaded framework of boundary guided semantic for COVID-19 infection segmentation
Ying Chen, Longfeng Feng, Hongping Lin, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105824-105824
Closed Access | Times Cited: 1

Sc-Net:Symmetrical Conical Network for Colorectal Pathology Image Segmentation
Zifen HE, Gang Zhang, Yinhui Zhang, et al.
(2023)
Closed Access

Lung Segmentation from Chest Radiographs Using Multiscale Deep Neural Network
Saurabh Kashyap, Priti Sharma, Pramod Kumar Soni
(2023), pp. 963-967
Closed Access

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