Shude Chen

484 citations
25 papers · 405 · h-index 11

Impact in

  • Physiology top 5%
    • Magnetic and Electromagnetic Effects
  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects

Papers in

Shude Chen

22 papers receiving 392 citations

Peers

Shude Chen
Comparison fields: 5 of 84
  • Physiology 60
  • Biophysics 69
  • Biotechnology 67
  • Biomedical Engineering 107
  • Cellular and Molecular Neuroscience 36
Replace Hsien‐Tai Chiu with:
Hsien‐Tai Chiu Taiwan
Deleana Pozzi Italy
Wendy Haggren United States
Vanessa Joubert France
Søren Møgelsvang United States
Kentaro Noi Japan
Hang Zhou China
Daniel Bonhenry Austria
Ji‐Eun Bae South Korea
Shude Chen relative to Hsien‐Tai Chiu Taiwan Hsien‐Tai Chiu's profile →
Citations per field
00.5×3.2×
Hsien‐Tai Chiu · 1×
Citations per year

Countries citing papers authored by Shude Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shude Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200478
2 201470
3 201443
4 201443
5 201027
6 202422
7 201622
8 200622
9 201815
10 201414
11 200511
12 20228
13 20178
14 20117
15
[Comparison of digital filter and wavelet transform for extracting electroencephalogram rhythm].
20095
16 20183
17
[Effect of 50 Hz power frequency magnetic field on microfilament cytoskeleton assembly of human amnion FL cells].
20072
18 20241
19 20161
20 20231

About Shude Chen

Shude Chen is a scholar working on Biophysics, Biotechnology, Molecular Biology, Biomedical Engineering and Physiology, having authored 25 papers that have together received 405 indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (9 papers), Microbial Inactivation Methods (7 papers), Magnetic and Electromagnetic Effects (3 papers), Spaceflight effects on biology (2 papers), Wireless Body Area Networks (2 papers), Graphene research and applications (2 papers), Cellular Mechanics and Interactions (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Physiology (60 citations), Biophysics (69 citations), Biotechnology (67 citations), Biomedical Engineering (107 citations) and Cellular and Molecular Neuroscience (36 citations). Shude Chen has collaborated with scholars based in China, Mexico and France. Frequent co-authors include Jian‐Jiang Zhong, Hong Ye, Junlang Chen, Xiao He, John Z. H. Zhang, Yongxiu Li, Xianwei Wang, Liang Chen, Yu Wang and Ruohong Xia. Their work appears in journals such as International Journal of Molecular Sciences, Bioelectromagnetics, PLoS ONE, Reviews in Cardiovascular Medicine and Journal of Physics D Applied Physics.

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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