Cheng Chen

80 papers receiving 2.2k citations

Cheng Chen's Hit Papers

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation 2024 · 82 citations
820+2+4Years since publication100200300

Peers

Cheng Chen
Comparison fields: 5 of 148
  • Health Informatics 56
  • Radiology, Nuclear Medicine and Imaging 699
  • Computer Vision and Pattern Recognition 657
  • Artificial Intelligence 946
  • Neurology 171
Replace Liansheng Wang with:
Liansheng Wang China
Yao Lu China
Susan Astley United Kingdom
Adrien Depeursinge Switzerland
Md Zahangir Alom United States
Sanjay N. Talbar India
Hongmin Cai China
Yinghuan Shi China
Jun Lian United States
Weijie Chen United States
Cheng Chen relative to Liansheng Wang China Liansheng Wang's profile →
Citations per field
00.5×1.5×1.9×
Liansheng Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cheng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheng Chen Line = papers co-authored together Cheng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Hit paper breakdown →
2021302
2
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Hit paper breakdown →
2020274
3 2019177
4
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis
Hit paper breakdown →
2022135
5 2019122
6 2019120
7
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
Hit paper breakdown →
202482
8 202180
9 202172
10 202167
11 202350
12 202149
13 201644
14 202342
15 202238
16 202336
17 201833
18 202033
19 201428
20 202227

About Cheng Chen

Cheng Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Media Technology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Data and IoT Technologies (12 papers), COVID-19 diagnosis using AI (9 papers), Telecommunications and Broadcasting Technologies (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (6 papers), Topic Modeling (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (699 citations), Computer Vision and Pattern Recognition (657 citations), Artificial Intelligence (946 citations) and Neurology (171 citations). Cheng Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pheng‐Ann Heng, Qi Dou, Hao Chen, Quande Liu, Jing Qin, Jing Qin, Yueming Jin, Ben Glocker, Lexi Xu and Xinzhou Cheng. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Computers and Electronics in Agriculture, Cancer Epidemiology Biomarkers & Prevention and Medical Image Analysis.

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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