Chengtao Peng

546 total citations
17 papers, 362 citations indexed

About

Chengtao Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chengtao Peng has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chengtao Peng's work include Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Chengtao Peng is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Advanced X-ray and CT Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Chengtao Peng collaborates with scholars based in China, United States and Japan. Chengtao Peng's co-authors include Jian Zheng, Bensheng Qiu, Ming Li, Yihui Guan, Zhongyi Wu, Cheng Zhang, Danny Z. Chen, Xiaodong Yang, Gang Yuan and Jing Xie and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Physics and BioMed Research International.

In The Last Decade

Chengtao Peng

16 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chengtao Peng China 13 205 146 114 90 43 17 362
Keewon Shin South Korea 9 199 1.0× 131 0.9× 122 1.1× 56 0.6× 64 1.5× 21 455
Zohaib Salahuddin Netherlands 7 274 1.3× 85 0.6× 173 1.5× 59 0.7× 38 0.9× 13 446
Maysam Shahedi United States 11 215 1.0× 151 1.0× 127 1.1× 110 1.2× 20 0.5× 37 435
Ryoungwoo Jang South Korea 7 214 1.0× 113 0.8× 124 1.1× 51 0.6× 14 0.3× 8 398
Mostafa Ghelich Oghli Iran 9 237 1.2× 107 0.7× 98 0.9× 97 1.1× 16 0.4× 19 386
Hanna Piotrzkowska‐Wróblewska Poland 11 330 1.6× 100 0.7× 256 2.2× 49 0.5× 29 0.7× 30 433
Nils Gessert Germany 9 126 0.6× 102 0.7× 135 1.2× 59 0.7× 112 2.6× 24 336
Jeremy Webb United States 10 234 1.1× 109 0.7× 148 1.3× 43 0.5× 12 0.3× 20 357
Gustav Müller‐Franzes Germany 11 316 1.5× 73 0.5× 239 2.1× 89 1.0× 44 1.0× 22 567
Anil Pandey India 9 167 0.8× 50 0.3× 80 0.7× 46 0.5× 35 0.8× 38 313

Countries citing papers authored by Chengtao Peng

Since Specialization
Citations

This map shows the geographic impact of Chengtao Peng'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 Chengtao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengtao Peng more than expected).

Fields of papers citing papers by Chengtao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chengtao Peng. 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 Chengtao Peng. The network helps show where Chengtao Peng may publish in the future.

Co-authorship network of co-authors of Chengtao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Chengtao Peng. A scholar is included among the top collaborators of Chengtao Peng 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 Chengtao Peng. Chengtao Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zhao, Shuaishuai, et al.. (2025). Building and validating a machine learning model to predict coronary heart disease risk based on non-invasive indicators. Computer Methods and Programs in Biomedicine. 275. 109186–109186.
2.
Peng, Chengtao, et al.. (2024). Unified Multi-Modal Image Synthesis for Missing Modality Imputation. IEEE Transactions on Medical Imaging. 44(1). 4–18. 20 indexed citations
3.
Peng, Chengtao, Ruofeng Tong, Lanfen Lin, et al.. (2023). Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. IEEE Transactions on Medical Imaging. 42(10). 3091–3103. 16 indexed citations
4.
Cao, Weiwei, Gang Yuan, Qi Liu, et al.. (2022). ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation. IEEE Journal of Biomedical and Health Informatics. 27(1). 145–156. 54 indexed citations
5.
Peng, Chengtao, Yue Zhang, You Meng, et al.. (2022). LMA-Net: A lesion morphology aware network for medical image segmentation towards breast tumors. Computers in Biology and Medicine. 147. 105685–105685. 16 indexed citations
6.
Peng, Chengtao, Liying Peng, Yingying Xu, et al.. (2021). DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(2). 614–625. 24 indexed citations
7.
Peng, Chengtao, Jian Zheng, Bin Li, et al.. (2021). IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation. Computerized Medical Imaging and Graphics. 95. 102021–102021. 24 indexed citations
8.
Peng, Chengtao, Bin Li, Peixian Liang, et al.. (2020). A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts. IEEE Transactions on Medical Imaging. 39(12). 3831–3842. 25 indexed citations
9.
Peng, Chengtao, Bin Li, Ming Li, et al.. (2020). An irregular metal trace inpainting network for x‐ray CT metal artifact reduction. Medical Physics. 47(9). 4087–4100. 20 indexed citations
10.
Liang, Xiao, Chengtao Peng, Bensheng Qiu, & Bin Li. (2019). Dense networks with relative location awareness for thorax disease identification. Medical Physics. 46(5). 2064–2073. 12 indexed citations
11.
Peng, Chengtao, et al.. (2019). Computerized texture analysis predicts histological invasiveness within lung adenocarcinoma manifesting as pure ground-glass nodules. Acta Radiologica. 60(10). 1258–1264. 15 indexed citations
12.
Peng, Chengtao, et al.. (2017). GPU-Accelerated Dynamic Wavelet Thresholding Algorithm for X-Ray CT Metal Artifact Reduction. IEEE Transactions on Radiation and Plasma Medical Sciences. 2(1). 17–26. 8 indexed citations
13.
14.
Wang, Haifeng, Chengtao Peng, Yakang Dai, et al.. (2017). Non-rigid MR-TRUS image registration for image-guided prostate biopsy using correlation ratio-based mutual information. BioMedical Engineering OnLine. 16(1). 8–8. 12 indexed citations
15.
Peng, Chengtao, Bensheng Qiu, Ming Li, et al.. (2017). Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction. BioMedical Engineering OnLine. 16(1). 1–1. 73 indexed citations
16.
Li, Ming, et al.. (2016). Smoothedl0Norm Regularization for Sparse-View X-Ray CT Reconstruction. BioMed Research International. 2016. 1–12. 11 indexed citations
17.
Zhang, Cheng, Tao Zhang, Ming Li, et al.. (2016). Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares. BioMedical Engineering OnLine. 15(1). 66–66. 29 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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