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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:

Hybrid Automatic Lung Segmentation on Chest CT Scans
Tao Peng, Thomas Canhao Xu, Yihuai Wang, et al.
IEEE Access (2020) Vol. 8, pp. 73293-73306
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images
Tao Peng, Yidong Gu, Zhenyu Ye, et al.
Expert Systems with Applications (2022) Vol. 198, pp. 116873-116873
Closed Access | Times Cited: 30
H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve
Tao Peng, Jing Zhao, Yidong Gu, et al.
Pattern Recognition (2022) Vol. 131, pp. 108890-108890
Closed Access | Times Cited: 26
H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning
Tao Peng, Caiyin Tang, Yiyun Wu, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 8, pp. 1896-1919
Closed Access | Times Cited: 22
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
Optimized Lung Nodule Prediction Model for Lung Cancer Using Contour Features Extraction
Faiyaz Ahmad, U. Hariharan, S. Karthick, et al.
Optical Memory and Neural Networks (2023) Vol. 32, Iss. 2, pp. 126-136
Closed Access | Times Cited: 11
Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning
Tao Peng, Daqiang Xu, Caiyin Tang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 21390-21406
Closed Access | Times Cited: 7
Semi-Automatic Prostate Segmentation From Ultrasound Images Using Machine Learning and Principal Curve Based on Interpretable Mathematical Model Expression
Tao Peng, Caiyin Tang, Yiyun Wu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Lung Cancer Detection using CT Scans: Image Processing through Deep Learning - A Review
V Asha, K Bhavanishankar
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 1203-1213
Closed Access | Times Cited: 3
Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images
Ananya Bhattacharjee, R. Murugan, Tripti Goel, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 8
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
Automatic and efficient pneumothorax segmentation from CT images using EFA-Net with feature alignment function
Yinghao Liu, Pengchen Liang, Kaiyi Liang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model
Tianrui Liu, Qiang Wei, Jianguo Chen, et al.
(2024), pp. 1-4
Closed Access
Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model
Tao Peng, Caiyin Tang, Jing Wang
Lecture notes in computer science (2022), pp. 166-177
Closed Access | Times Cited: 3
Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
Tao Peng, Yiyun Wu, Jing Zhao, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1126-1131
Closed Access | Times Cited: 3
Segmenting and classifying lung diseases with M-Segnet and Hybrid Squeezenet-CNN architecture on CT images
Syed Mohammed Shafi, C. Sathiya Kumar
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302507-e0302507
Open Access
Lung Segmentation Based on Statistical Analysis Using Features of Connected Components
V. Juliet Rani, K. K. Thanammal
Wireless Personal Communications (2023) Vol. 132, Iss. 2, pp. 1453-1486
Closed Access | Times Cited: 1
Improving the Detection of The Prostrate in Ultrasound Images Using Machine Learning Based Image Processing
Tao Peng, Yiyun Wu, Jing Cai
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022), pp. 1-4
Closed Access | Times Cited: 2
A Comparative Approach for Investigating an Efficient Method for Reduction of Search Space in Lung Image Analysis
Sheetal Pawar, Bhusan Patil
(2022), pp. 167-172
Closed Access | Times Cited: 1
Lung Segmentation on Standard and Mobile Chest Radiographs using Oriented Gaussian Derivatives Filter
Wan Siti Halimatul Munirah Wan Ahmad, Aini Hussain, Wan Mimi Diyana Wan Zaki, et al.
Jurnal Kejuruteraan (2022) Vol. 34, Iss. 4, pp. 617-628
Open Access | Times Cited: 1
Modeling Respiratory Signals by Deformable Image Registration on 4DCT Lung Images
Pham The Bao, Hoàng Thị Kiều Trang, Tran Anh Tuan, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 1
Medical image segmentation using hybrid Contrast Limited Adaptive Histogram Equalization (CLAHE) and expectation maximization algorithm
K. C. Prabu Shankar, S. Prayla Shyry
Journal of Intelligent & Fuzzy Systems (2023), pp. 1-16
Closed Access
AI-Based Intelligent-Annotation Algorithm for Medical Segmentation from Ultrasound Data
Tao Peng, Yaogong Zhang, Yan Dong, et al.
Lecture notes in computer science (2023), pp. 28-40
Closed Access
Segmentação da Região Pulmonar em Radiografias Pediátricas de Tórax
Afonso U. Fonseca, Juliana Paula Félix, Fabrízzio Soares
(2022), pp. 48-59
Open Access
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