Yang Chen

11.7k total citations · 5 hit papers
360 papers, 8.0k citations indexed

About

Yang Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yang Chen has authored 360 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Radiology, Nuclear Medicine and Imaging, 152 papers in Biomedical Engineering and 120 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yang Chen's work include Medical Imaging Techniques and Applications (126 papers), Advanced X-ray and CT Imaging (123 papers) and Radiation Dose and Imaging (59 papers). Yang Chen is often cited by papers focused on Medical Imaging Techniques and Applications (126 papers), Advanced X-ray and CT Imaging (123 papers) and Radiation Dose and Imaging (59 papers). Yang Chen collaborates with scholars based in China, France and United States. Yang Chen's co-authors include Yi Zhang, Limin Luo, Jiliu Zhou, Hu Chen, Huazhong Shu, Feng Lin, Peixi Liao, Mannudeep K. Kalra, Ge Wang and Jean-Louis Coatrieux and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Yang Chen

321 papers receiving 7.9k citations

Hit Papers

Low-Dose CT With a Residu... 2017 2026 2020 2023 2017 2022 2021 2022 2024 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yang Chen 4.1k 3.3k 3.0k 967 534 360 8.0k
Wufan Chen 3.6k 0.9× 2.7k 0.8× 2.3k 0.7× 785 0.8× 392 0.7× 344 6.6k
Joachim Hornegger 7.5k 1.8× 4.0k 1.2× 3.5k 1.2× 1.0k 1.1× 859 1.6× 448 13.5k
Yi Zhang 5.2k 1.3× 3.8k 1.2× 2.8k 0.9× 815 0.8× 464 0.9× 427 10.0k
Xinjian Chen 3.0k 0.7× 1.9k 0.6× 1.9k 0.6× 685 0.7× 377 0.7× 405 8.6k
Qian Wang 3.2k 0.8× 1.2k 0.4× 2.4k 0.8× 1.4k 1.4× 561 1.1× 308 7.0k
Tom Vercauteren 4.3k 1.0× 2.2k 0.7× 4.0k 1.3× 1.8k 1.8× 924 1.7× 251 11.2k
Marius Staring 3.4k 0.8× 1.5k 0.5× 2.6k 0.9× 566 0.6× 967 1.8× 109 6.7k
Stefan Klein 4.5k 1.1× 1.9k 0.6× 2.5k 0.8× 730 0.8× 1.3k 2.4× 253 9.0k
Dirk Vandermeulen 3.7k 0.9× 1.5k 0.5× 5.7k 1.9× 1.0k 1.1× 455 0.9× 200 11.0k
Nikos Paragios 3.1k 0.8× 1.3k 0.4× 6.2k 2.0× 1.4k 1.5× 906 1.7× 198 10.5k

Countries citing papers authored by Yang Chen

Since Specialization
Citations

This map shows the geographic impact of Yang Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Chen more than expected).

Fields of papers citing papers by Yang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Chen. The network helps show where Yang Chen may publish in the future.

Co-authorship network of co-authors of Yang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Chen. A scholar is included among the top collaborators of Yang Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Chen. Yang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Zhan, Yan Xi, Xu Ji, et al.. (2025). PRAISE-Net: Deep Projection-Domain Data-Consistent Learning Network for CBCT Metal Artifact Reduction. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations
2.
Xie, Jiayi, Xianghong Wang, Peng Jin, et al.. (2024). PNMC: Four-dimensional conebeam CT reconstruction combining prior network and motion compensation. Computers in Biology and Medicine. 171. 108145–108145. 2 indexed citations
3.
Jiang, Liang, Jiarui Sun, Yajing Wang, et al.. (2024). Diffusion-/perfusion-weighted imaging fusion to automatically identify stroke within 4.5 h. European Radiology. 34(10). 6808–6819. 5 indexed citations
4.
Xu, Hang, Li Chen, Yikun Zhang, et al.. (2024). Task-based quantitative evaluation of single- or dual-domain networks for low dose CT. Biomedical Signal Processing and Control. 99. 106909–106909.
5.
Yuan, Peng, Yudong Zhang, Chunfeng Yang, et al.. (2024). WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction. Biomedical Signal Processing and Control. 102. 107197–107197. 1 indexed citations
6.
Sun, Jiarui, Hui Tang, Guangquan Zhou, et al.. (2024). A Multi-group similarity-decoding-based method for deep model ensembling applied in the microcalcification classification on digital mammograms. Biomedical Signal Processing and Control. 91. 105896–105896. 1 indexed citations
7.
Zhang, Zhong-Liang, et al.. (2024). PRECISION: A Physics-Constrained and Noise-Controlled Diffusion Model for Photon Counting Computed Tomography. IEEE Transactions on Medical Imaging. 43(10). 3476–3489.
8.
Han, Xiaoxiang, et al.. (2024). Reconstruction of Cardiac Cine MRI Using Motion‐Guided Deformable Alignment and Multi‐Resolution Fusion. International Journal of Imaging Systems and Technology. 34(4). 1 indexed citations
9.
Ji, Xu, Yikun Zhang, Gouenou Coatrieux, et al.. (2024). SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. IEEE Transactions on Computational Imaging. 10. 677–689. 1 indexed citations
10.
Zhang, Yikun, et al.. (2024). Coarse-to-Fine Learning for Planning CT-Enhanced Limited-Angle CBCT Reconstruction. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 1 indexed citations
11.
Liu, Jin, T. Zhang, Yong Wang, et al.. (2023). Deep residual constrained reconstruction via learned convolutional sparse coding for low-dose CT imaging. Biomedical Signal Processing and Control. 85. 104868–104868. 8 indexed citations
12.
Gao, Yuan, Cheng Xue, Shipeng Xie, et al.. (2023). Cas-PRED: A Limited-Angle Cone Beam CT Reconstruction Research Based on Prior Information. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 1 indexed citations
13.
Chen, Yang, Yufei Tang, Zhongyi Wu, et al.. (2023). Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning. IEEE Transactions on Medical Imaging. 42(9). 2616–2630. 28 indexed citations
14.
Hu, Dianlin, Yikun Zhang, Jin Liu, et al.. (2022). PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT. IEEE Journal of Biomedical and Health Informatics. 26(11). 5551–5562. 19 indexed citations
15.
Zhang, Yikun, Dianlin Hu, Qianlong Zhao, et al.. (2021). CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging. IEEE Transactions on Medical Imaging. 40(11). 3089–3101. 73 indexed citations
16.
Hu, Dianlin, Yikun Zhang, Jin Liu, et al.. (2021). SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT. IEEE Transactions on Computational Imaging. 7. 734–746. 31 indexed citations
17.
Chen, Zaozao, Xiaowei Sun, Qiwei Li, et al.. (2021). Automated evaluation of tumor spheroid behavior in 3D culture using deep learning-based recognition. Biomaterials. 272. 120770–120770. 68 indexed citations
18.
Liu, Jin, Yi Zhang, Qianlong Zhao, et al.. (2019). Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging. Physics in Medicine and Biology. 64(13). 135007–135007. 41 indexed citations
19.
Coatrieux, Jean-Louis, Qianlong Zhao, Jin Liu, et al.. (2019). Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging. IEEE Transactions on Medical Imaging. 38(12). 2903–2913. 172 indexed citations
20.
Liu, Yi, Yang Chen, Ping Chen, Zhiwei Qiao, & Zhiguo Gui. (2019). Artifact Suppressed Nonlinear Diffusion Filtering for Low-Dose CT Image Processing. IEEE Access. 7. 109856–109869. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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