Liu Chen

664 citations
33 papers · 513 · h-index 12

Impact in

Papers in

Liu Chen

28 papers receiving 505 citations

Peers

Liu Chen
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 236
  • Rehabilitation 54
  • Occupational Therapy 22
  • Cardiology and Cardiovascular Medicine 90
  • Aging 6
Replace Kushwin Rajamani with:
Kushwin Rajamani Australia
Tomio Umemoto Japan
Bankim A. Bhatt United States
Vivienne Ezzat United Kingdom
Nadia Vazirpanah Netherlands
Steve Martin Canada
M. Laloi‐Michelin France
Hiroaki Sunaga Japan
Dalong Zhu China
Jane Fogarty Ireland
Liu Chen relative to Kushwin Rajamani Australia Kushwin Rajamani's profile →
Citations per field
00.5×5.3×
Kushwin Rajamani · 1×
Citations per year

Countries citing papers authored by Liu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016148
2 201955
3 201153
4 201833
5 201731
6 201826
7 202422
8 201817
9 201513
10 202312
11 201612
12 201911
13 202011
14 201910
15 20158
16 20177
17 20246
18 20146
19 20216
20 20196

About Liu Chen

Liu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 513 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers), Wound Healing and Treatments (3 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Rehabilitation (54 citations), Occupational Therapy (22 citations), Cardiology and Cardiovascular Medicine (90 citations) and Aging (6 citations). Liu Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Ziwen Liang, Weiling Leng, Qinan Wu, Xinshou Ouyang, Wuquan Deng, Jian Wang, Lin Xu, Ruth J. F. Loos, Wei Gan and Huaixing Li. Their work appears in journals such as Annals of Translational Medicine, International journal of cardiac imaging, Frontiers in Public Health, PLoS ONE and Scientific Reports.

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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