Shun‐Chi Wu
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 6
-
- ECG Monitoring and Analysis 8
- Co-authors
- Ting‐Han Lin (8 shared papers)A. Lee Swindlehurst (7 shared papers)Jaung‐Geng Lin (1 shared paper)M.-L. Chen (1 shared paper)Shan‐Chwen Chang (2 shared papers)Ming‐Fu Chang (2 shared papers)Pei‐Ju Liao (1 shared paper)Hung‐Yi Wu (1 shared paper)
- Journals
- Annals of Nuclear Energy (6 papers)Progress in Nuclear Energy (3 papers)IEEE Internet of Things Journal (2 papers)Multidimensional Systems and Signal Processing (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Shun‐Chi Wu
48 papers receiving 624 citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 169
- Catalysis 41
- Signal Processing 59
- Experimental and Cognitive Psychology 70
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by Shun‐Chi Wu
This map shows the geographic impact of Shun‐Chi Wu'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 Shun‐Chi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Chi Wu more than expected).
Fields of papers citing papers by Shun‐Chi Wu
This network shows the impact of papers produced by Shun‐Chi Wu. 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 Shun‐Chi Wu. The network helps show where Shun‐Chi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shun‐Chi Wu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 91 | |
| 2 | 2018 | 50 | |
| 3 | 2008 | 45 | |
| 4 | 2021 | 35 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 19 | |
| 13 | 2013 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2022 | 9 |
About Shun‐Chi Wu
Shun‐Chi Wu is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Control and Systems Engineering, Signal Processing and Aerospace Engineering, having authored 54 papers that have together received 636 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (10 papers), ECG Monitoring and Analysis (8 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Risk and Safety Analysis (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (169 citations), Catalysis (41 citations), Signal Processing (59 citations), Experimental and Cognitive Psychology (70 citations) and Statistics, Probability and Uncertainty (38 citations). Shun‐Chi Wu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ting‐Han Lin, A. Lee Swindlehurst, Jaung‐Geng Lin, M.-L. Chen, Shan‐Chwen Chang, Ming‐Fu Chang, Pei‐Ju Liao, Hung‐Yi Wu, Chemin Lin and Shwu‐Hua Lee. Their work appears in journals such as Annals of Nuclear Energy, Progress in Nuclear Energy, IEEE Internet of Things Journal, Multidimensional Systems and Signal Processing and Scientific Reports.
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.