Sheng-Hsiou Hsu
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 19
- Neural dynamics and brain function 14
- Functional Brain Connectivity Studies 3
- Human-Computer Interaction top 5%
- Signal Processing top 5%
- Blind Source Separation Techniques 12
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- Neuroscience and Neural Engineering 2
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- Fault Detection and Control Systems 2
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- Technology and Human Factors in Education and Health 1
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- Neonatal and fetal brain pathology 1
- Co-authors
- Tzyy‐Ping JungLuca Pion-TonachiniChi-Yuan ChangGert CauwenberghsScott MakeigTim MullenYanhong ZhouWen Dong
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sheng-Hsiou Hsu
21 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 848
- Human-Computer Interaction 103
- Signal Processing 165
- Cellular and Molecular Neuroscience 141
- Experimental and Cognitive Psychology 91
Countries citing papers authored by Sheng-Hsiou Hsu
This map shows the geographic impact of Sheng-Hsiou Hsu'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 Sheng-Hsiou Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Hsiou Hsu more than expected).
Fields of papers citing papers by Sheng-Hsiou Hsu
This network shows the impact of papers produced by Sheng-Hsiou Hsu. 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 Sheng-Hsiou Hsu. The network helps show where Sheng-Hsiou Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng-Hsiou Hsu, 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 | 2024 | 15 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 83 | |
| 6 | 2020 | 17 | |
| 7 | Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordingsbreakdown → | 2019 | 341 |
| 8 | 2018 | 37 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 65 | |
| 11 | 2018 | 19 | |
| 12 | 2018 | 236 | |
| 13 | 2018 | 0 | |
| 14 | 2017 | 19 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 72 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 19 | |
| 19 | 2014 | 22 | |
| 20 | 2013 | 16 |
About Sheng-Hsiou Hsu
Sheng-Hsiou Hsu is a scholar working on Signal Processing, Cognitive Neuroscience and Developmental Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (14 papers), Blind Source Separation Techniques (12 papers), Functional Brain Connectivity Studies (3 papers), Fault Detection and Control Systems (2 papers), Neuroscience and Neural Engineering (2 papers), Technology and Human Factors in Education and Health (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Cognitive Neuroscience (848 citations), Human-Computer Interaction (103 citations) and Signal Processing (165 citations). Sheng-Hsiou Hsu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tzyy‐Ping Jung, Luca Pion-Tonachini, Chi-Yuan Chang, Gert Cauwenberghs, Scott Makeig, Tim Mullen, Yanhong Zhou, Wen Dong, Makoto Miyakoshi and Jason Palmer.
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.