Shi Chen

472 citations
45 papers · 306 · h-index 9

Impact in

Papers in

Shi Chen

41 papers receiving 303 citations

Peers

Shi Chen
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 106
  • Cardiology and Cardiovascular Medicine 61
  • Health Informatics 3
  • Physiology 29
  • Biomaterials 16
Replace Sylvie Chillon with:
Sylvie Chillon France
Khaled M. Abdelrahman United States
Jiang Lin China
Todd D. Reil United States
Zhiliang Xu China
Dragana Savic United Kingdom
Е. В. Гракова Russia
Ramón Calviño Spain
Jiapeng Chu China
Keisuke Yasumura United States
Shi Chen relative to Sylvie Chillon France Sylvie Chillon's profile →
Citations per field
00.5×8.4×
Sylvie Chillon · 1×
Citations per year

Countries citing papers authored by Shi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 201130
3 202221
4 202318
5 201616
6 202016
7 202316
8 202110
9 20198
10 20207
11 20217
12 20205
13 20214
14 20134
15 20234
16 20243
17 20243
18 20223
19 20223
20 20133

About Shi Chen

Shi Chen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Physiology and Biomedical Engineering, having authored 45 papers that have together received 306 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Advanced MRI Techniques and Applications (3 papers), Diet and metabolism studies (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Image Retrieval and Classification Techniques (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (106 citations), Cardiology and Cardiovascular Medicine (61 citations), Health Informatics (3 citations), Physiology (29 citations) and Biomaterials (16 citations). Shi Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Christopher Nguyen, Salva R. Yurista, Pengfei Yang, Tianye Niu, Zhaoming Ye, Binghao Li, Chen Luo, Peng Lin, Wangsiyuan Teng and Xingzhi Zhou. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Magnetic Resonance in Medicine, Metabolism, Circulation and Journal of the American College of Cardiology.

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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