Cheng Chen

5.5k total citations · 4 hit papers
87 papers, 2.1k citations indexed

About

Cheng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cheng Chen has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cheng Chen's work include Advanced Data and IoT Technologies (12 papers), COVID-19 diagnosis using AI (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Cheng Chen is often cited by papers focused on Advanced Data and IoT Technologies (12 papers), COVID-19 diagnosis using AI (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Cheng Chen collaborates with scholars based in China, Hong Kong and United States. Cheng Chen's co-authors include Pheng‐Ann Heng, Qi Dou, Hao Chen, Jing Qin, Quande Liu, Jing Qin, Yueming Jin, Lexi Xu, Cheng Ouyang and Xiahai Zhuang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and IEEE Access.

In The Last Decade

Cheng Chen

80 papers receiving 2.1k citations

Hit Papers

FedDG: Federated Domain Generalization on Medical Image S... 2020 2026 2022 2024 2021 2020 2022 2024 50 100 150 200 250

Peers

Cheng Chen
Comparison fields: 5 of 153
  • Artificial Intelligence 949
  • Radiology, Nuclear Medicine and Imaging 728
  • Computer Vision and Pattern Recognition 662
  • Biomedical Engineering 256
  • Neurology 166
Replace Hongmin Cai with:
Hongmin Cai China
Mateusz Buda United States
Idit Diamant Israel
Zhifang Pan China
Chenyu You United States
J. Shin United States
Jia Wu China
Huimin Huang China
Sudipta Roy India
Hongmin Cai China View profile →
Citations per field, relative to Cheng Chen
Cheng Chen · 1×
Citations per year, relative to Cheng Chen
Cheng Chen · 1×

Countries citing papers authored by Cheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Chen. A scholar is included among the top collaborators of Cheng 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 Cheng Chen. Cheng 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
# Work Indexed citations
1 0
2 3
3 1
4 1
5 6
6 3
7 6
8 2
9
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation breakdown →
71
10 1
11 3
12 8
13 7
14 5
15 5
16 17
17 30
18 1
19 118
20 4

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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