Xinwu Yang
Impact in
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- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Face and Expression Recognition 4
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- EEG and Brain-Computer Interfaces 7
- Co-authors
- Yiming Li (2 shared papers)Xu Ma (1 shared paper)Qi Sun (1 shared paper)Jianbo Lu (1 shared paper)Bo Liu (1 shared paper)Yujian Li (2 shared papers)Hong He (1 shared paper)Yuxuan Hu (1 shared paper)
- Journals
- Physics in Medicine and Biology (2 papers)Measurement (1 paper)Applied Surface Science (1 paper)Journal of Ultrasound in Medicine (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xinwu Yang
21 papers receiving 274 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 102
- Analytical Chemistry 39
- Signal Processing 40
- Neurology 30
- Psychiatry and Mental health 41
Countries citing papers authored by Xinwu Yang
This map shows the geographic impact of Xinwu Yang'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 Xinwu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwu Yang more than expected).
Fields of papers citing papers by Xinwu Yang
This network shows the impact of papers produced by Xinwu Yang. 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 Xinwu Yang. The network helps show where Xinwu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinwu Yang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 2022 | 39 | |
| 3 | 2021 | 35 | |
| 4 | 2010 | 33 | |
| 5 | 2020 | 17 | |
| 6 | 2016 | 12 | |
| 7 | Multi-class Adaboost Algorithm Based on the Adjusted Weak Classifier | 2016 | 8 |
| 8 | 2021 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Xinwu Yang
Xinwu Yang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 284 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers), Face and Expression Recognition (4 papers), AI in cancer detection (4 papers), Phonocardiography and Auscultation Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Cognitive Neuroscience (102 citations), Analytical Chemistry (39 citations), Signal Processing (40 citations), Neurology (30 citations) and Psychiatry and Mental health (41 citations). Xinwu Yang has collaborated with scholars based in China and United States. Frequent co-authors include Yiming Li, Xu Ma, Qi Sun, Jianbo Lu, Bo Liu, Yujian Li, Hong He, Yuxuan Hu, Shuyuan Li and Shaorui Sun. Their work appears in journals such as Physics in Medicine and Biology, Measurement, Applied Surface Science, Journal of Ultrasound in Medicine and IEEE Transactions on Neural Systems and Rehabilitation 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.