Shude Chen

480 citations
24 papers · 379 indexed · h-index 11

Impact in

  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects
  • Physiology top 10%
    • Magnetic and Electromagnetic Effects

Papers in

Shude Chen

22 papers receiving 369 citations

Peers

Shude Chen
Comparison fields: 5 of 92
  • Biophysics 64
  • Physiology 50
  • Biotechnology 56
  • Biomedical Engineering 105
  • Cellular and Molecular Neuroscience 36
Replace Mihaela G. Moisescu with:
Mihaela G. Moisescu Romania
Hsien‐Tai Chiu Taiwan
Deleana Pozzi Italy
Fiorenzo Marinelli Italy
Zafer Akan Türkiye
Vanessa Joubert France
Wendy Haggren United States
Hang Zhou China
Erin A. Henslee United Kingdom
Kentaro Noi Japan
Shude Chen relative to Mihaela G. Moisescu Romania Mihaela G. Moisescu's profile →
Citations per field
00.5×1.5×2.1×
Mihaela G. Moisescu · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201467
2 200464
3 201442
4 201440
5 201025
6 201621
7 202420
8 200619
9 201814
10 201414
11 200510
12 20178
13 20198
14 20117
15 20227
16
[Comparison of digital filter and wavelet transform for extracting electroencephalogram rhythm].
20094
17 20183
18
[Effect of 50 Hz power frequency magnetic field on microfilament cytoskeleton assembly of human amnion FL cells].
20072
19 20231
20 20161

About Shude Chen

Shude Chen is a scholar working on Biophysics, Biotechnology, Biomedical Engineering, Molecular Biology and Physiology, having authored 24 papers that have together received 379 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), Biofield Effects and Biophysics (2 papers), Spaceflight effects on biology (2 papers), Wireless Body Area Networks (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biophysics (64 citations), Physiology (50 citations), Biotechnology (56 citations), Biomedical Engineering (105 citations) and Cellular and Molecular Neuroscience (36 citations). Shude Chen has collaborated with scholars based in China, France and Mexico. Frequent co-authors include Junlang Chen, Jian‐Jiang Zhong, Hong Ye, Yongxiu Li, Xiao He, John Z. H. Zhang, Xianwei Wang, Ruohong Xia, Liang Chen and Yu Wang. Their work appears in journals such as International Journal of Molecular Sciences, Bioelectromagnetics, PLoS ONE, Scientific Reports and Biotechnology and Bioengineering.

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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