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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 approach for CT lung segmentation using mask region-based convolutional neural networks
Qinhua Hu, Luís Fabrício de Freitas Souza, Gabriel B. Holanda, et al.
Artificial Intelligence in Medicine (2020) Vol. 103, pp. 101792-101792
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
Mohammad A. Thanoon, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2617-2617
Open Access | Times Cited: 44
Analysis of Deep Learning Models for Lung Field Segmentation
Tairah Andrabi, Sajid Yousuf Bhat
(2025), pp. 149-183
Closed Access | Times Cited: 1
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Gusztáv Gaál, Balázs Maga, András Lukács
arXiv (Cornell University) (2020)
Open Access | Times Cited: 116
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
Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy
Xi Liu, Kai-Wen Li, Ruijie Yang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 77
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 66
Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12
Advanced multi-image segmentation-based machine learning modeling strategy for corrosion prediction and rust layer performance evaluation of weathering steel
Bingqin Wang, Liangan Liu, Xuequn Cheng, et al.
Corrosion Science (2024) Vol. 237, pp. 112334-112334
Closed Access | Times Cited: 9
Internet of Medical Things—Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans
Tao Han, Virgínia Xavier Nunes, Luís Fabrício de Freitas Souza, et al.
IEEE Access (2020) Vol. 8, pp. 71117-71135
Open Access | Times Cited: 51
Computational lung modelling in respiratory medicine
Sunder Neelakantan, Yi Xin, Donald P. Gaver, et al.
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 191
Open Access | Times Cited: 36
Lung nodules detection using grey wolf optimization by weighted filters and classification using CNN
Anas Bilal, Guangmin Sun, Yu Li, et al.
Journal of the Chinese Institute of Engineers (2022) Vol. 45, Iss. 2, pp. 175-186
Closed Access | Times Cited: 35
Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
Francisco Silva, Tânia Pereira, Inês Neves, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 3, pp. 480-480
Open Access | Times Cited: 27
Deep Learning-Enhanced Internet of Medical Things to Analyze Brain CT Scans of Hemorrhagic Stroke Patients: A New Approach
Yongzhao Xu, Gabriel B. Holanda, Luís Fabrício de Freitas Souza, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 22, pp. 24941-24951
Closed Access | Times Cited: 44
Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network
Fatemeh Zabihollahy, Akila Viswanathan, Ehud J. Schmidt, et al.
Journal of Applied Clinical Medical Physics (2022) Vol. 23, Iss. 9
Open Access | Times Cited: 24
SAtUNet: Series atrous convolution enhanced U‐Net for lung nodule segmentation
Salomi Selvadass, P. Malin Bruntha, K. Martin Sagayam, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 14
An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation
Shweta Tyagi, Devidas T. Kushnure, Sanjay N. Talbar
Computerized Medical Imaging and Graphics (2023) Vol. 108, pp. 102258-102258
Closed Access | Times Cited: 13
No More Training: SAM’s Zero-Shot Transfer Capabilities for Cost-Efficient Medical Image Segmentation
Juan D. Gutiérrez, Roberto Rodríguez-Echeverría, Emilio Delgado, et al.
IEEE Access (2024) Vol. 12, pp. 24205-24216
Open Access | Times Cited: 4
Automatic lung segmentation via a superpixel-based conditional breadth-first search algorithm
Caixia Liu
(2025), pp. 98-98
Closed Access
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
An Artificial Intelligence Based Technique for COVID-19 Diagnosis from Chest X-Ray
Saddam Bekhet, M. Hassaballah, Mourad A. Kenk, et al.
2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES) (2020), pp. 191-195
Closed Access | Times Cited: 38
H-SegNet: hybrid segmentation network for lung segmentation in chest radiographs using mask region-based convolutional neural network and adaptive closed polyline searching method
Tao Peng, Caishan Wang, You Zhang, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 7, pp. 075006-075006
Closed Access | Times Cited: 20
A Systematic Review of Automated Segmentation Methods and Public Datasets for the Lung and its Lobes and Findings on Computed Tomography Images
Diedre Carmo, J. S. Ribeiro, Sérgio San Juan Dertkigil, et al.
Yearbook of Medical Informatics (2022) Vol. 31, Iss. 01, pp. 277-295
Open Access | Times Cited: 19
Automatic Liver Segmentation in CT Images with Enhanced GAN and Mask Region-Based CNN Architectures
Xiaoqin Wei, Xiaowen Chen, Ce Lai, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 24
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network
Fatemeh Zabihollahy, Akila Viswanathan, Ehud J. Schmidt, et al.
Medical Physics (2021) Vol. 48, Iss. 11, pp. 7028-7042
Open Access | Times Cited: 23
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning
Hao Gong, Jianhua Liu, Bo Chen, et al.
Artificial Intelligence in Medicine (2022) Vol. 124, pp. 102243-102243
Closed Access | Times Cited: 17
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