Mingyi Chen

963 citations
66 papers · 706 · h-index 12

Impact in

Papers in

Mingyi Chen

55 papers receiving 697 citations

Peers

Mingyi Chen
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 265
  • Immunology 143
  • Biomedical Engineering 237
  • Electrical and Electronic Engineering 263
  • Bioengineering 18
Replace Guangyao Li with:
Guangyao Li China
Xianghong Zhang China
Jung Hyun Han South Korea
Sarah R. Gutbrod United States
Junshi Li China
Yi Yuan China
Byung Chul Jang South Korea
Kwantae Kim South Korea
Farah Laiwalla United States
Mingyi Chen relative to Guangyao Li China Guangyao Li's profile →
Citations per field
00.5×5.0×
Guangyao Li · 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005234
2 201964
3 201763
4 201832
5 201831
6 201924
7 202217
8 201917
9 202216
10 201815
11 201814
12 202012
13 202111
14 20209
15 20199
16 20219
17 20228
18 20228
19 20257
20 20217

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 66 papers that have together received 706 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (22 papers), Neuroscience and Neural Engineering (11 papers), Energy Harvesting in Wireless Networks (11 papers), Wireless Power Transfer Systems (11 papers), Radio Frequency Integrated Circuit Design (7 papers), Innovative Energy Harvesting Technologies (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Advancements in PLL and VCO Technologies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (265 citations), Immunology (143 citations), Biomedical Engineering (237 citations), Electrical and Electronic Engineering (263 citations) and Bioengineering (18 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, Qiuyang Lin, Chris Van Hoof and Nick Van Helleputte. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Science China Information Sciences, IEEE Transactions on Biomedical Circuits and Systems, Journal of Semiconductors 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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