Chen Shen

591 citations
30 papers · 365 · h-index 9

Impact in

Papers in

Chen Shen

25 papers receiving 355 citations

Peers

Chen Shen
Comparison fields: 5 of 91
  • Health Informatics 10
  • Computer Vision and Pattern Recognition 126
  • Media Technology 36
  • Radiology, Nuclear Medicine and Imaging 78
  • Artificial Intelligence 99
Replace Weihao Weng with:
Weihao Weng Japan
José Maurício Portugal
Nitin Kumar Chauhan India
Mohammad Alkhaleefah Taiwan
Emine Cengil Türkiye
Tatiana Gabruseva Ireland
Mohamed Elmagzoub Abdalla Saudi Arabia
Rabia Riad France
Arkadiusz Kwasigroch Poland
Chen Shen relative to Weihao Weng Japan Weihao Weng's profile →
Citations per field
00.5×10×20×27×
Weihao Weng · 1×
Citations per year

Countries citing papers authored by Chen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen Shen, 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 Chen Shen Line = papers co-authored together Chen Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201860
3 202046
4 202025
5 202124
6 202221
7 202019
8 201614
9 201310
10 20219
11 20197
12 20186
13 20206
14 20176
15 20226
16 20205
17 20235
18 20215
19 20244
20 20143

About Chen Shen

Chen Shen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Networks and Communications and Analytical Chemistry, having authored 30 papers that have together received 365 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), COVID-19 diagnosis using AI (4 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Vision and Pattern Recognition (126 citations), Media Technology (36 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Artificial Intelligence (99 citations). Chen Shen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Masahiro Oda, Kensaku Mori, Holger R. Roth, Yao Liu, Xian‐Sheng Hua, Wenqing Chu, Deng Cai, Kazunari Misawa, Yuichiro Hayashi and Hirohisa Oda. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Image Processing, Frontiers in Plant Science, Analytical Methods and Frontiers in Environmental Science.

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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