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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:

Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism
Tongxue Zhou, Stéphane Canu, Su Ruan
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 1, pp. 16-27
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
Amine Amyar, Romain Modzelewski, Hua Li, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 104037-104037
Open Access | Times Cited: 502
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shanghua Gao, Jie Mei, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 3113-3126
Open Access | Times Cited: 282
Toward data‐efficient learning: A benchmark for COVID‐19 CT lung and infection segmentation
Jun Ma, Yixin Wang, Xingle An, et al.
Medical Physics (2020) Vol. 48, Iss. 3, pp. 1197-1210
Open Access | Times Cited: 218
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Dong Yang, Ziyue Xu, Wenqi Li, et al.
Medical Image Analysis (2021) Vol. 70, pp. 101992-101992
Open Access | Times Cited: 210
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 195
COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network
Yifan Jiang, Han Chen, Murray H. Loew, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 2, pp. 441-452
Open Access | Times Cited: 163
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 135
Robust chest CT image segmentation of COVID-19 lung infection based on limited data
Dominik Müller, Iñaki Soto‐Rey, Frank Krämer
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100681-100681
Open Access | Times Cited: 90
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
Jun Ma, Yixin Wang, Xingle An, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 82
D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution
Xiangyu Zhao, Peng Zhang, Fan Song, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104526-104526
Open Access | Times Cited: 72
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework
Jiannan Liu, Bo Dong, Shuai Wang, et al.
Medical Image Analysis (2021) Vol. 74, pp. 102205-102205
Open Access | Times Cited: 67
A Comprehensive Survey of COVID-19 Detection Using Medical Images
Faisal Muhammad Shah, Sajib Kumar Saha Joy, Farzad Ahmed, et al.
SN Computer Science (2021) Vol. 2, Iss. 6
Open Access | Times Cited: 62
ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans
Alex Noel Joseph Raj, Haipeng Zhu, Asiya Khan, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e349-e349
Open Access | Times Cited: 61
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images
Nan Mu, Hongyu Wang, Yu Zhang, et al.
Pattern Recognition (2021) Vol. 120, pp. 108168-108168
Open Access | Times Cited: 58
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102605-102605
Open Access | Times Cited: 52
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 39
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
Sania Shamim, Mazhar Javed Awan, Azlan Mohd Zain, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 37
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
Saddam Hussain Khan, Javed Iqbal, Syed Agha Hassnain, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120477-120477
Open Access | Times Cited: 28
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Qiangguo Jin, Hui Cui, Changming Sun, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114848-114848
Open Access | Times Cited: 49
An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation
Juanjuan He, Qi Zhu, Kai Zhang, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107947-107947
Open Access | Times Cited: 46
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
Haseeb Hassan, Zhaoyu Ren, Huishi Zhao, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105123-105123
Open Access | Times Cited: 46
SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images
Shixuan Zhao, Zhidan Li, Yang Chen, et al.
Pattern Recognition (2021) Vol. 119, pp. 108109-108109
Open Access | Times Cited: 45
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images
Alessandro Stefano, Albert Comelli
Journal of Imaging (2021) Vol. 7, Iss. 8, pp. 131-131
Open Access | Times Cited: 44
Application of machine learning in CT images and X-rays of COVID-19 pneumonia
Fengjun Zhang
Medicine (2021) Vol. 100, Iss. 36, pp. e26855-e26855
Open Access | Times Cited: 44
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