Hang Chen

2.4k citations
123 papers · 1.8k · h-index 19

Impact in

Papers in

Hang Chen

113 papers receiving 1.8k citations

Peers

Hang Chen
Comparison fields: 5 of 157
  • Cardiology and Cardiovascular Medicine 312
  • Physiology 287
  • Sensory Systems 52
  • Immunology 161
  • Endocrinology, Diabetes and Metabolism 122
Replace Francesco Semeraro with:
Francesco Semeraro Italy
Gerhard Garhöfer Austria
Hui Zhao China
Qing Wang China
Rong Jin China
Masaki Watanabe Japan
Huy A. Tran Australia
Koichi Tamura Japan
Kentaro Takahashi Japan
Hang Chen relative to Francesco Semeraro Italy Francesco Semeraro's profile →
Citations per field
00.5×1.5×2×2.4×
Francesco Semeraro · 1×
Citations per year

Countries citing papers authored by Hang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 2003145
3 2000121
4 202388
5 200178
6 200372
7 202161
8 202355
9 202154
10 202150
11 202147
12 201245
13 202039
14 202237
15 201928
16 201428
17 202328
18 201727
19 202220
20 202019

About Hang Chen

Hang Chen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Anesthesiology and Pain Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Asthma and respiratory diseases (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Anesthesia and Sedative Agents (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), ECG Monitoring and Analysis (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (312 citations), Physiology (287 citations), Sensory Systems (52 citations), Immunology (161 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Hang Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Reynold Panettieri, Yassine Amrani, Shuming Ye, Chao Hsun Huang, Omar Tliba, Dingli Li, Deepak A. Deshpande, Mathur Kannan, Yu Min and Guobing Yin. Their work appears in journals such as European Radiology, Frontiers in Endocrinology, IEEE Transactions on Systems Man and Cybernetics Systems, ACS Nano and Journal of Luminescence.

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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