Chen Yi
Impact in
- Applied Mathematics top 5%
- Statistical and numerical algorithms
Papers in
-
- Blind Source Separation Techniques 7
- Speech and Audio Processing 7
-
- Error Correcting Code Techniques 9
- Co-authors
- Bofeng Li (1 shared paper)Yunzhong Shen (1 shared paper)Jörg Kliewer (5 shared papers)Tianqi Zhang (8 shared papers)Yun Jin (1 shared paper)Andrea B. Kohn (1 shared paper)Maile R. Brown (1 shared paper)Jack Kronengold (1 shared paper)
- Journals
- IEEE Communications Letters (7 papers)IEEE Transactions on Communications (2 papers)IEEE Signal Processing Letters (2 papers)Digital Signal Processing (2 papers)IEEE Transactions on Circuits & Systems II Express Briefs (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chen Yi
53 papers receiving 572 citations
Peers
Comparison fields: 5 of 137
- Applied Mathematics 118
- Computational Mathematics 4
- Statistics and Probability 34
- Communication 26
- Signal Processing 36
Countries citing papers authored by Chen Yi
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
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.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 130 | |
| 2 | 2012 | 97 | |
| 3 | 2018 | 41 | |
| 4 | 2021 | 37 | |
| 5 | 2022 | 35 | |
| 6 | 2014 | 32 | |
| 7 | 2021 | 28 | |
| 8 | 2015 | 17 | |
| 9 | 1994 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2003 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2024 | 5 |
About Chen Yi
Chen Yi is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 60 papers that have together received 580 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (9 papers), DNA and Biological Computing (8 papers), Blind Source Separation Techniques (7 papers), Speech and Audio Processing (7 papers), Cellular Automata and Applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Wireless Signal Modulation Classification (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Applied Mathematics (118 citations), Computational Mathematics (4 citations), Statistics and Probability (34 citations), Communication (26 citations) and Signal Processing (36 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, Yun Jin, Andrea B. Kohn, Maile R. Brown, Jack Kronengold, Matthew R. Fleming and Leonid L. Moroz. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Communications, IEEE Signal Processing Letters, Digital Signal Processing and IEEE Transactions on Circuits & Systems II Express Briefs.
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.