Chengtao Peng

546 citations
17 papers · 362 indexed · h-index 13
Topics
Medical Imaging Techniques and Applications (7 papers)Advanced X-ray and CT Imaging (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Chengtao Peng

16 papers receiving 357 citations

Peers

Chengtao Peng
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 205
  • Biomedical Engineering 146
  • Artificial Intelligence 114
  • Computer Vision and Pattern Recognition 90
  • Oncology 43
Replace Nils Gessert with:
Nils Gessert Germany
Shuanglang Feng China
Xuena Cheng China
Zhaobang Liu China
Hanna Piotrzkowska‐Wróblewska Poland
Liyan Lin China
Joanna Czajkowska Poland
Danilo Babin Belgium
Grzegorz Chlebus Germany
Maysam Shahedi United States
Chengtao Peng relative to Nils Gessert Germany Nils Gessert's profile →
Citations per field
00.5×4.7×
Nils Gessert · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 20
3 16
4 54
5 16
6 24
7 24
8 25
9 20
10 12
11 15
12 8
13 3
14 12
15 73
16 11
17 29

About Chengtao Peng

Chengtao Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this 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). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (205 citations), Neurology (40 citations) and Computer Vision and Pattern Recognition (90 citations). Chengtao Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Zheng, Bensheng Qiu, Ming Li, Yihui Guan, Zhongyi Wu, Cheng Zhang, Danny Z. Chen, Gang Yuan, Xinye Ni and Weiwei Cao. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics and BioMed Research International.

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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