Sheng-Hsiou Hsu

1.5k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Sheng-Hsiou Hsu is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sheng-Hsiou Hsu has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sheng-Hsiou Hsu's work include EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (12 papers). Sheng-Hsiou Hsu is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Neural dynamics and brain function (14 papers) and Blind Source Separation Techniques (12 papers). Sheng-Hsiou Hsu collaborates with scholars based in United States, China and Taiwan. Sheng-Hsiou Hsu's co-authors include Tzyy‐Ping Jung, Luca Pion-Tonachini, Chi-Yuan Chang, Gert Cauwenberghs, Scott Makeig, Tim Mullen, Wen Dong, Yanhong Zhou, Makoto Miyakoshi and Jason Palmer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Sheng-Hsiou Hsu

21 papers receiving 1.0k citations

Hit Papers

Evaluation of Artifact Subspace Reconstruction for Automa... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheng-Hsiou Hsu United States 15 848 165 141 127 103 22 1.0k
Alexander Craik United States 5 894 1.1× 156 0.9× 186 1.3× 98 0.8× 115 1.1× 9 1.0k
Michal Teplan Slovakia 7 903 1.1× 153 0.9× 223 1.6× 144 1.1× 106 1.0× 28 1.2k
Yodchanan Wongsawat Thailand 17 556 0.7× 113 0.7× 163 1.2× 125 1.0× 122 1.2× 108 896
Trent Lewis Australia 16 873 1.0× 160 1.0× 217 1.5× 98 0.8× 44 0.4× 40 1.1k
Alejandro Ojeda United States 13 1.1k 1.3× 110 0.7× 206 1.5× 95 0.7× 59 0.6× 19 1.3k
Tiejun Liu China 19 1.0k 1.2× 199 1.2× 325 2.3× 79 0.6× 111 1.1× 71 1.2k
Xiangguo Yan China 16 615 0.7× 205 1.2× 98 0.7× 129 1.0× 49 0.5× 34 816
Mike Lind Rank Denmark 12 736 0.9× 101 0.6× 235 1.7× 178 1.4× 98 1.0× 29 881
Reiner Emkes Germany 8 882 1.0× 70 0.4× 208 1.5× 122 1.0× 111 1.1× 9 990

Countries citing papers authored by Sheng-Hsiou Hsu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sheng-Hsiou Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Hsiou Hsu. A scholar is included among the top collaborators of Sheng-Hsiou Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng-Hsiou Hsu. Sheng-Hsiou Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hsu, Sheng-Hsiou, Stéphanie Martin, Jennifer E. Dwyer, et al.. (2024). Using a standalone ear-EEG device for focal-onset seizure detection. SHILAP Revista de lepidopterología. 10(1). 4–4. 15 indexed citations
2.
Hsu, Sheng-Hsiou, et al.. (2023). Stimulus Design for Visual Evoked Potential Based Brain-Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2545–2551. 9 indexed citations
3.
Hsu, Sheng-Hsiou, et al.. (2022). Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG. NeuroImage. 249. 118873–118873. 19 indexed citations
4.
Saravanapandian, Vidya, Sheng-Hsiou Hsu, Shaun A. Hussain, et al.. (2021). Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome. Molecular Autism. 12(1). 54–54. 14 indexed citations
5.
Dong, Wen, et al.. (2020). Combining brain–computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review. Annals of Physical and Rehabilitation Medicine. 64(1). 101404–101404. 83 indexed citations
6.
Singh, Fiza, et al.. (2020). Modulation of frontal gamma oscillations improves working memory in schizophrenia. NeuroImage Clinical. 27. 102339–102339. 17 indexed citations
7.
Chang, Chi-Yuan, Sheng-Hsiou Hsu, Luca Pion-Tonachini, & Tzyy‐Ping Jung. (2019). Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings. IEEE Transactions on Biomedical Engineering. 67(4). 1114–1121. 341 indexed citations breakdown →
8.
Pion-Tonachini, Luca, Sheng-Hsiou Hsu, Chi-Yuan Chang, Tzyy‐Ping Jung, & Scott Makeig. (2018). Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). PubMed. 2018. 106–109. 37 indexed citations
9.
Dong, Wen, Sheng-Hsiou Hsu, Yanhong Zhou, et al.. (2018). Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information. Neural Networks. 110. 159–169. 16 indexed citations
10.
Hsu, Sheng-Hsiou, Luca Pion-Tonachini, Jason Palmer, et al.. (2018). Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage. 183. 47–61. 65 indexed citations
11.
Dong, Wen, et al.. (2018). The Study of Evaluation and Rehabilitation of Patients With Different Cognitive Impairment Phases Based on Virtual Reality and EEG. Frontiers in Aging Neuroscience. 10. 88–88. 19 indexed citations
12.
Chang, Chi-Yuan, Sheng-Hsiou Hsu, Luca Pion-Tonachini, & Tzyy‐Ping Jung. (2018). Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal. PubMed. 2018. 1242–1245. 236 indexed citations
14.
Buccino, Alessio Paolo, Sheng-Hsiou Hsu, & Gert Cauwenberghs. (2018). Real- Time Spike Sorting for Multi-Electrode Arrays with Online Independent Component Analysis. 1–4. 2 indexed citations
15.
Hsu, Sheng-Hsiou & Tzyy‐Ping Jung. (2017). Monitoring alert and drowsy states by modeling EEG source nonstationarity. Journal of Neural Engineering. 14(5). 56012–56012. 19 indexed citations
16.
Hsu, Sheng-Hsiou, Tim Mullen, Tzyy‐Ping Jung, & Gert Cauwenberghs. (2015). Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(3). 309–319. 72 indexed citations
17.
Hsu, Sheng-Hsiou, Tim Mullen, Tzyy‐Ping Jung, & Gert Cauwenberghs. (2015). Validating online recursive independent component analysis on EEG data. 1. 918–921. 4 indexed citations
18.
Hsu, Sheng-Hsiou, Luca Pion-Tonachini, Tzyy‐Ping Jung, & Gert Cauwenberghs. (2015). Tracking non-stationary EEG sources using adaptive online recursive independent component analysis. PubMed. 2015. 4106–4109. 5 indexed citations
19.
Hsu, Sheng-Hsiou, Tim Mullen, Tzyy‐Ping Jung, & Gert Cauwenberghs. (2014). Online recursive independent component analysis for real-time source separation of high-density EEG. PubMed. 2014. 3845–3848. 22 indexed citations
20.
Hsu, Sheng-Hsiou, et al.. (2013). High-Resolution Structural and Functional Assessments of Cerebral Microvasculature Using 3D Gas ΔR2*-mMRA. PLoS ONE. 8(11). e78186–e78186. 16 indexed citations

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.

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