Yu-Wei Liao

789 total citations
12 papers, 284 citations indexed

About

Yu-Wei Liao is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu-Wei Liao has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Biomedical Engineering and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu-Wei Liao's work include Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Yu-Wei Liao is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Yu-Wei Liao collaborates with scholars based in United States, China and Taiwan. Yu-Wei Liao's co-authors include Kevin Lynch, Matthew C. Tresch, Eric J. Perreault, Eric M. Schearer, Tzu‐Ching Chang, Kiyoshi W. Masui, Jonathan Sievers, M. A. McLaughlin, Peter Timbie and J. B. Peterson and has published in prestigious journals such as Nature, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Frontiers in Medicine.

In The Last Decade

Yu-Wei Liao

12 papers receiving 266 citations

Peers

Yu-Wei Liao
Comparison fields: 5 of 47
  • Astronomy and Astrophysics 187
  • Biomedical Engineering 73
  • Cognitive Neuroscience 49
  • Nuclear and High Energy Physics 39
  • Cellular and Molecular Neuroscience 33
Replace David C. Latimer with:
David C. Latimer United States
Shuta Tanaka Japan
V. Z. Golkhou United States
Daniel Schmidt Germany
Hao Qiu Australia
F. F. S. Maia Brazil
M. S. Kehl Germany
Kuan-Chou Hou Taiwan
P. Marques Dos Santos Brazil
David C. Latimer United States View profile →
Citations per field, relative to Yu-Wei Liao
Yu-Wei Liao · 1×
Citations per year, relative to Yu-Wei Liao
Yu-Wei Liao · 1×

Countries citing papers authored by Yu-Wei Liao

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Wei Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Wei Liao. 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 Yu-Wei Liao. The network helps show where Yu-Wei Liao may publish in the future.

Co-authorship network of co-authors of Yu-Wei Liao

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 2
3 6
4 1
5 20
6 7
7 190
8 6
9 31
10 10
11 7
12 3

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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