Yu-Te Wang

2.3k citations
50 papers · 1.6k · 1 hit paper · h-index 15

Impact in

Papers in

Yu-Te Wang

49 papers receiving 1.6k citations

Yu-Te Wang's Hit Papers

Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis 2017 · 588 citations
5880+3+6Years since publication100200300400500

Peers

Yu-Te Wang
Comparison fields: 5 of 91
  • Cognitive Neuroscience 1.3k
  • Human-Computer Interaction 285
  • Cellular and Molecular Neuroscience 639
  • Signal Processing 198
  • Experimental and Cognitive Psychology 145
Replace Min-Ho Lee with:
Min-Ho Lee South Korea
Joseph N. Mak Hong Kong
Thorsten O. Zander Germany
Theerawit Wilaiprasitporn Thailand
Fabio Aloise Italy
Axel Gräser Germany
Mehrdad Fatourechi Canada
Ivan Volosyak Germany
José M. Azorín Spain
Pierre W. Ferrez Switzerland
Yu-Te Wang relative to Min-Ho Lee South Korea Min-Ho Lee's profile →
Citations per field
00.5×3.3×
Min-Ho Lee · 1×
Citations per year

Countries citing papers authored by Yu-Te Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Te Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu-Te Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu-Te Wang Line = papers co-authored together Yu-Te Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis
Hit paper breakdown →
2017588
2 2011229
3 2011133
4 2018128
5 201765
6 201250
7 201249
8 201947
9 201536
10 201027
11 201426
12 201621
13 201320
14 201519
15 201415
16 201513
17 201112
18 201310
19 201310
20 20169

About Yu-Te Wang

Yu-Te Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction, Signal Processing and Information Systems, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (33 papers), Neuroscience and Neural Engineering (17 papers), Neural dynamics and brain function (13 papers), Gaze Tracking and Assistive Technology (9 papers), Blind Source Separation Techniques (6 papers), Advanced Memory and Neural Computing (5 papers), Tactile and Sensory Interactions (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Human-Computer Interaction (285 citations), Cellular and Molecular Neuroscience (639 citations), Signal Processing (198 citations) and Experimental and Cognitive Psychology (145 citations). Yu-Te Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Tzyy‐Ping Jung, Yijun Wang, Masaki Nakanishi, Xiaorong Gao, Xiaogang Chen, Chun-Shu Wei, Chin‐Teng Lin, Gert Cauwenberghs, Christoph Maier and Yuan‐Pin Lin. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, PLoS ONE and Service Oriented Computing and Applications.

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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