Chen Yi

43 papers receiving 469 citations

Peers

Chen Yi
Comparison fields: 5 of 127
  • Applied Mathematics 114
  • Computational Mathematics 4
  • Statistics and Probability 32
  • Communication 23
  • Signal Processing 31
Replace Pierre Lafaye de Micheaux with:
Pierre Lafaye de Micheaux France
Enrica Pirozzi Italy
Nikhil Singh United States
James P. Cunningham United States
Dilan Görür United Kingdom
Fetsje Bijma Netherlands
Cinzia Viroli Italy
Gabriela Ciuperca France
Kamiar Rahnama Rad United States
Jinggang Huang United States
Chen Yi relative to Pierre Lafaye de Micheaux France Pierre Lafaye de Micheaux's profile →
Citations per field
00.5×10×16.3×
Pierre Lafaye de Micheaux · 1×
Citations per year

Countries citing papers authored by Chen Yi

Since Specialization
Citations

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

Fields of papers citing papers by Chen Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 201292
3 201839
4 202231
5 201429
6 202125
7 201517
8 201912
9 202310
10 20219
11 20036
12 20136
13 20216
14 20135
15 20224
16 20124
17 20224
18 20224
19 20164
20 20164

About Chen Yi

Chen Yi is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 478 indexed citations. Recurring topics across this work include DNA and Biological Computing (7 papers), Error Correcting Code Techniques (7 papers), Speech and Audio Processing (7 papers), Blind Source Separation Techniques (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Wireless Signal Modulation Classification (4 papers), Cellular Automata and Applications (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Applied Mathematics (114 citations), Computational Mathematics (4 citations), Statistics and Probability (32 citations), Communication (23 citations) and Signal Processing (31 citations). Chen Yi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bofeng Li, Yunzhong Shen, Jörg Kliewer, Tianqi Zhang, Leonid L. Moroz, Leonard K. Kaczmarek, Callen Hyland, Jack Kronengold, Maile R. Brown and Matthew R. Fleming. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Communications, IEEE Signal Processing Letters and Frontiers in Immunology.

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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