Yu-Wei Liao

20 total papers · 783 total citations
12 papers, 281 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 281 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 Eric M. Schearer, Matthew C. Tresch, Eric J. Perreault, Kevin Lynch, A. Ganguly, Tzu‐Ching Chang, J. B. Peterson, M. A. McLaughlin, M. Jarvis and Xuelei Chen 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 262 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu-Wei Liao 187 73 49 39 33 12 281
Mirjam Kouwenhoven 112 0.6× 16 0.2× 139 2.8× 36 0.9× 6 0.2× 15 321
T Kitahara 38 0.2× 17 0.2× 24 0.5× 38 1.0× 21 0.6× 24 318
Shuta Tanaka 217 1.2× 28 0.4× 4 0.1× 153 3.9× 2 0.1× 26 316
Yan Huang 98 0.5× 22 0.3× 4 0.1× 39 1.0× 1 0.0× 17 154
M. J. Smyth 36 0.2× 18 0.2× 22 0.4× 9 0.2× 2 0.1× 21 276
Harry Soodak 35 0.2× 46 0.6× 53 1.1× 12 0.3× 2 0.1× 16 216
Sergei Gulyaev 75 0.4× 5 0.1× 68 1.4× 32 0.8× 14 0.4× 26 210
R. Merkel 59 0.3× 38 0.5× 6 0.1× 135 3.5× 40 1.2× 18 235
P. Marques Dos Santos 100 0.5× 91 1.2× 2 0.0× 34 0.9× 13 0.4× 31 301
Hironori Ogawa 19 0.1× 38 0.5× 34 0.7× 76 1.9× 7 0.2× 22 166

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

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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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