Mingyi Chen

912 citations
64 papers · 669 · h-index 12

Impact in

Papers in

Mingyi Chen

53 papers receiving 659 citations

Peers

Mingyi Chen
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 261
  • Immunology 163
  • Biomedical Engineering 226
  • Electrical and Electronic Engineering 244
  • Bioengineering 17
Replace Qian Wu with:
Qian Wu China
Uma Gandhi India
Sarah R. Gutbrod United States
Jung Hyun Han South Korea
Xianghong Zhang China
Junshi Li China
Byung Chul Jang South Korea
Shaochen Wang China
Yi Yuan China
Mingyi Chen relative to Qian Wu China Qian Wu's profile →
Citations per field
00.5×2.7×
Qian Wu · 1×
Citations per year

Countries citing papers authored by Mingyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005231
2 201762
3 201960
4 201831
5 201830
6 201924
7 201917
8 202216
9 201815
10 201813
11 202213
12 202011
13 202110
14 20199
15 20219
16 20208
17 20227
18 20227
19 20167
20 20216

About Mingyi Chen

Mingyi Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering and Cognitive Neuroscience, having authored 64 papers that have together received 669 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (21 papers), Neuroscience and Neural Engineering (11 papers), Wireless Power Transfer Systems (11 papers), Energy Harvesting in Wireless Networks (11 papers), Radio Frequency Integrated Circuit Design (7 papers), EEG and Brain-Computer Interfaces (7 papers), Innovative Energy Harvesting Technologies (7 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (261 citations), Immunology (163 citations), Biomedical Engineering (226 citations), Electrical and Electronic Engineering (244 citations) and Bioengineering (17 citations). Mingyi Chen has collaborated with scholars based in China, Belgium and United Kingdom. Frequent co-authors include Peter Tontonoz, Alexander Hoffmann, Liming Pei, Antonio Castrillo, Guoxing Wang, Yong Lian, Yongfu Li, Chris Van Hoof, Qiuyang Lin and Nick Van Helleputte. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Science China Information Sciences, Journal of Semiconductors, IEEE Transactions on Biomedical Circuits and Systems and IEEE Transactions on Power Electronics.

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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