Wangxin Yu
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Heart Rate Variability and Autonomic Control
Papers in
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- Face and Expression Recognition 2
- Face recognition and analysis 2
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- Neural Networks and Applications 2
- Co-authors
- Weiting Chen (3 shared papers)Zhizhong Wang (2 shared papers)Hong-Bo Xie (1 shared paper)Jun Zhuang (1 shared paper)Zhizhong Wang (1 shared paper)Wei-Ting Chen (1 shared paper)Zhiguang Wang (1 shared paper)Weiting Chen (1 shared paper)
- Journals
- Neural Computing and Applications (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)Neurocomputing (1 paper)Medical Engineering & Physics (1 paper)Journal of Computational Methods in Sciences and Engineering (1 paper)
- Partner nations
- China
In The Last Decade
Wangxin Yu
7 papers receiving 1.4k citations
Wangxin Yu's Hit Papers
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 455
- Cardiology and Cardiovascular Medicine 355
- Statistical and Nonlinear Physics 174
- Signal Processing 142
- Control and Systems Engineering 277
Countries citing papers authored by Wangxin Yu
This map shows the geographic impact of Wangxin Yu'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 Wangxin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangxin Yu more than expected).
Fields of papers citing papers by Wangxin Yu
This network shows the impact of papers produced by Wangxin Yu. 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 Wangxin Yu. The network helps show where Wangxin Yu may publish in the future.
Co-authors
The 12 scholars most cited alongside Wangxin Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of Surface EMG Signal Based on Fuzzy Entropy Hit paper breakdown → | 2007 | 833 |
| 2 | Measuring complexity using FuzzyEn, ApEn, and SampEn Hit paper breakdown → | 2008 | 573 |
| 3 | 2008 | 11 | |
| 4 | 2013 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2010 | 1 | |
| 7 | 2009 | 1 |
About Wangxin Yu
Wangxin Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Economics and Econometrics, Cardiology and Cardiovascular Medicine and Statistical and Nonlinear Physics, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Neural Networks and Applications (2 papers), Complex Systems and Time Series Analysis (2 papers), Freezing and Crystallization Processes (1 paper), Medical Imaging Techniques and Applications (1 paper), Food Drying and Modeling (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (455 citations), Cardiology and Cardiovascular Medicine (355 citations), Statistical and Nonlinear Physics (174 citations), Signal Processing (142 citations) and Control and Systems Engineering (277 citations). Wangxin Yu has collaborated with scholars based in China. Frequent co-authors include Weiting Chen, Zhizhong Wang, Hong-Bo Xie, Jun Zhuang, Zhizhong Wang, Wei-Ting Chen, Zhiguang Wang, Weiting Chen, Ying Zhou and Guitao Cao. Their work appears in journals such as Neural Computing and Applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neurocomputing, Medical Engineering & Physics and Journal of Computational Methods in Sciences and Engineering.
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.