Chenfu Yi
Impact in
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
- Artificial Intelligence top 2%
- Neural Networks and Applications
Papers in
-
- Neural Networks and Applications 39
- Machine Learning and ELM 2
- Fuzzy Logic and Control Systems 2
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- Matrix Theory and Algorithms 6
- Co-authors
- Yunong Zhang (16 shared papers)Dongsheng Guo (2 shared papers)Ye Li (6 shared papers)Weimu Ma (3 shared papers)Dongsheng Guo (3 shared papers)Ke Chen (1 shared paper)Lili Wang (1 shared paper)Fangmin Sun (2 shared papers)
- Journals
- Journal of the Franklin Institute (3 papers)Neurocomputing (3 papers)IEEE Access (2 papers)IEEE Sensors Journal (2 papers)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chenfu Yi
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 52
- Numerical Analysis 165
- Artificial Intelligence 792
- Computational Theory and Mathematics 305
- Computational Mathematics 10
- Control and Systems Engineering 287
Countries citing papers authored by Chenfu Yi
This map shows the geographic impact of Chenfu 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 Chenfu Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenfu Yi more than expected).
Fields of papers citing papers by Chenfu Yi
This network shows the impact of papers produced by Chenfu 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 Chenfu Yi. The network helps show where Chenfu Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenfu 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Zhang Neural Networks and Neural-Dynamic Method | 2011 | 264 |
| 2 | 2010 | 183 | |
| 3 | 2011 | 85 | |
| 4 | 2011 | 64 | |
| 5 | 2015 | 61 | |
| 6 | 2017 | 51 | |
| 7 | 2009 | 47 | |
| 8 | 2013 | 47 | |
| 9 | 2010 | 45 | |
| 10 | 2012 | 44 | |
| 11 | 2015 | 42 | |
| 12 | 2008 | 40 | |
| 13 | 2008 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2008 | 27 | |
| 16 | 2008 | 24 | |
| 17 | 2008 | 21 | |
| 18 | 2022 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2013 | 17 |
About Chenfu Yi
Chenfu Yi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Biomedical Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (39 papers), Wireless Body Area Networks (7 papers), Matrix Theory and Algorithms (6 papers), Adaptive Control of Nonlinear Systems (3 papers), Machine Learning and ELM (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Fuzzy Logic and Control Systems (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Numerical Analysis (165 citations), Artificial Intelligence (792 citations), Computational Theory and Mathematics (305 citations), Computational Mathematics (10 citations) and Control and Systems Engineering (287 citations). Chenfu Yi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yunong Zhang, Dongsheng Guo, Ye Li, Weimu Ma, Dongsheng Guo, Ke Chen, Lili Wang, Fangmin Sun, Jun Cai and Long Jin. Their work appears in journals such as Journal of the Franklin Institute, Neurocomputing, IEEE Access, IEEE Sensors Journal and Expert Systems with Applications.
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.