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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:

An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images
Cheng Chen, Kangneng Zhou, Muxi Zha, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 9, pp. 6528-6538
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 109
Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning
Atta Rahman, Abdullah Alqahtani, Nahier Aldhafferi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3833-3833
Open Access | Times Cited: 86
Automatic lung segmentation in chest X-ray images using improved U-Net
Wufeng Liu, Jiaxin Luo, Yan Yang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 74
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
End-to-end learning for simultaneously generating decision map and multi-focus image fusion result
Boyuan Ma, Xiang Yin, Di Wu, et al.
Neurocomputing (2021) Vol. 470, pp. 204-216
Open Access | Times Cited: 58
Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA
Cheng Chen, Kangneng Zhou, Zhiliang Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 346-353
Closed Access | Times Cited: 57
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: 48
Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network
Xiaohui Zhao, Xueqin Shen, Wenbo Wan, et al.
IEEE Access (2022) Vol. 10, pp. 27917-27924
Open Access | Times Cited: 30
All answers are in the images: A review of deep learning for cerebrovascular segmentation
Cheng Chen, Kangneng Zhou, Zhiliang Wang, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 107, pp. 102229-102229
Closed Access | Times Cited: 21
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images
Yanan Wu, Shuiqing Zhao, Shouliang Qi, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102637-102637
Open Access | Times Cited: 17
Thermal Fault Diagnosis of Electrical Equipment in Substations Using Lightweight Convolutional Neural Network
Shuaijie Zhou, Jiefeng Liu, Xianhao Fan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15
Exploiting multi-granularity visual features for retinal layer segmentation in human eyes
Xiang He, Yiming Wang, Fabio Poiesi, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 13
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges
Zhang Ju, Changgan Ying, Zhiyi Ye, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105970-105970
Closed Access | Times Cited: 5
CSR-Net: Cross-Scale Residual Network for multi-objective scaphoid fracture segmentation
Cheng Chen, Bo Liu, Kangneng Zhou, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104776-104776
Closed Access | Times Cited: 31
Automatic Detection of Colorectal Polyps Using Transfer Learning
Eva H. Dulf, Marius Bledea, Teodora Mocan, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5704-5704
Open Access | Times Cited: 27
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
Md. Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8890-8890
Open Access | Times Cited: 12
Semi-Supervised Modified-UNet for Lung Infection Image Segmentation
Ashwini Kumar Upadhyay, Ashish Kumar Bhandari
IEEE Transactions on Radiation and Plasma Medical Sciences (2023) Vol. 7, Iss. 6, pp. 638-649
Closed Access | Times Cited: 11
CD-Net: Cascaded 3D Dilated convolutional neural network for pneumonia lesion segmentation
Jinli Zhang, Shaomeng Wang, Zongli Jiang, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108311-108311
Closed Access | Times Cited: 4
Lung Segmentation with Lightweight Convolutional Attention Residual U-Net
M Jannat, Shaikh Afnan Birahim, Mohammad Asif Hasan, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 854-854
Open Access
COVID-view: Diagnosis of COVID-19 using Chest CT
Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, et al.
IEEE Transactions on Visualization and Computer Graphics (2021) Vol. 28, Iss. 1, pp. 227-237
Open Access | Times Cited: 26
A dual-stage deep convolutional neural network for automatic diagnosis of COVID-19 and pneumonia from chest CT images
Farhan Sadik, Ankan Ghosh Dastider, Mohseu Rashid Subah, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105806-105806
Open Access | Times Cited: 18
Pairwise attention-enhanced adversarial model for automatic bone segmentation in CT images
Cheng Chen, Siyu Qi, Kangneng Zhou, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 3, pp. 035019-035019
Closed Access | Times Cited: 10
A learnable Gabor Convolution kernel for vessel segmentation
Cheng Chen, Kangneng Zhou, Siyu Qi, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106892-106892
Closed Access | Times Cited: 10
Cutting-Edge Technologies for Digital Therapeutics: A Review and Architecture Proposals for Future Directions
Joo Hun Yoo, Harim Jeong, Tai‐Myoung Chung
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6929-6929
Open Access | Times Cited: 10
SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images
Yuan Yang, Zhang Li, Lei Ren, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104896-104896
Open Access | Times Cited: 9
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