Shey-Sheen Chang

657 total citations
7 papers, 512 citations indexed

About

Shey-Sheen Chang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shey-Sheen Chang has authored 7 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shey-Sheen Chang's work include Muscle activation and electromyography studies (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Motor Control and Adaptation (2 papers). Shey-Sheen Chang is often cited by papers focused on Muscle activation and electromyography studies (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Motor Control and Adaptation (2 papers). Shey-Sheen Chang collaborates with scholars based in United States. Shey-Sheen Chang's co-authors include S. Hamid Nawab, Carlo J. De Luca, Serge H. Roy, Joshua C. Kline, M. Samuel Cheng, John Moore, Gianluca De Luca and Sudesna Roy and has published in prestigious journals such as Journal of Neurophysiology, Clinical Neurophysiology and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Shey-Sheen Chang

7 papers receiving 505 citations

Peers

Shey-Sheen Chang
Comparison fields: 5 of 58
  • Biomedical Engineering 438
  • Cognitive Neuroscience 282
  • Cellular and Molecular Neuroscience 122
  • Orthopedics and Sports Medicine 73
  • Rehabilitation 49
Replace D. Gamet with:
D. Gamet France
L.R. Lo Conte Italy
Joshua C. Kline United States
Rositsa Raikova Bulgaria
Kenzo Akazawa Japan
Birgit Tine Larsen Denmark
François Nougarou Canada
B. Diemont Italy
P. A. Karthick India
Wanxiang Yao United States
D. Gamet France View profile →
Citations per field, relative to Shey-Sheen Chang
Shey-Sheen Chang · 1×
Citations per year, relative to Shey-Sheen Chang
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Countries citing papers authored by Shey-Sheen Chang

Since Specialization
Citations

This map shows the geographic impact of Shey-Sheen Chang'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 Shey-Sheen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shey-Sheen Chang more than expected).

Fields of papers citing papers by Shey-Sheen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shey-Sheen Chang. 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 Shey-Sheen Chang. The network helps show where Shey-Sheen Chang may publish in the future.

Co-authorship network of co-authors of Shey-Sheen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shey-Sheen Chang. A scholar is included among the top collaborators of Shey-Sheen Chang 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 Shey-Sheen Chang. Shey-Sheen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 92
2 285
3 7
4 6
5 106
6 15
7 1

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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