Yu-Te Wang

2.7k total citations · 1 hit paper
51 papers, 1.8k citations indexed

About

Yu-Te Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Yu-Te Wang has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 20 papers in Cellular and Molecular Neuroscience and 10 papers in Human-Computer Interaction. Recurrent topics in Yu-Te Wang's work include EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (20 papers) and Neural dynamics and brain function (15 papers). Yu-Te Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Neuroscience and Neural Engineering (20 papers) and Neural dynamics and brain function (15 papers). Yu-Te Wang collaborates with scholars based in United States, Taiwan and China. Yu-Te Wang's 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 Yu Mike and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Yu-Te Wang

48 papers receiving 1.8k citations

Hit Papers

Enhancing Detection of SSVEPs for a High-Speed Brain Spel... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Te Wang United States 16 1.5k 835 367 342 324 51 1.8k
Florian Yger France 10 1.6k 1.1× 602 0.7× 388 1.1× 310 0.9× 345 1.1× 31 1.9k
Tianyou Yu China 24 1.8k 1.2× 924 1.1× 413 1.1× 676 2.0× 230 0.7× 70 2.0k
Luis F. Nicolás-Alonso Spain 8 1.6k 1.1× 869 1.0× 397 1.1× 375 1.1× 296 0.9× 9 1.7k
Mehrdad Fatourechi Canada 15 1.5k 0.9× 700 0.8× 282 0.8× 304 0.9× 427 1.3× 31 1.9k
Erwei Yin China 26 2.1k 1.4× 1.2k 1.5× 606 1.7× 635 1.9× 375 1.2× 110 2.4k
Min-Ho Lee South Korea 15 1.2k 0.8× 485 0.6× 314 0.9× 293 0.9× 187 0.6× 55 1.5k
Minkyu Ahn South Korea 18 1.3k 0.8× 615 0.7× 327 0.9× 235 0.7× 139 0.4× 43 1.4k
Neethu Robinson Singapore 17 1.1k 0.7× 424 0.5× 203 0.6× 284 0.8× 157 0.5× 44 1.3k
Ivan Volosyak Germany 21 2.1k 1.3× 1.4k 1.6× 585 1.6× 577 1.7× 211 0.7× 60 2.2k
Thorsten O. Zander Germany 17 1.3k 0.9× 350 0.4× 173 0.5× 346 1.0× 83 0.3× 45 1.6k

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-authorship network of co-authors of Yu-Te Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Te Wang. A scholar is included among the top collaborators of Yu-Te Wang 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-Te Wang. Yu-Te Wang 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
2.
Lu, Jing, Yu Tsao, & Yu-Te Wang. (2024). Design and Evaluate Semi-dry Watermill-like EEG Electrodes. PubMed. 2024. 1–4.
3.
Gable, Thomas M., et al.. (2024). Whispering Wearables: Multimodal Approach to Silent Speech Recognition with Head-Worn Devices. 214–223. 3 indexed citations
4.
Wang, Yu-Te, et al.. (2022). Tongue Gestures for Hands-Free Interaction in Head Worn Displays. 38–40. 3 indexed citations
5.
Wang, Yu-Te, et al.. (2020). PDAS: A Digital-Signature-Based Authorization Platform for Digital Personal Data. 513–518. 4 indexed citations
6.
Nakanishi, Masaki, et al.. (2019). Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses. IEEE Transactions on Biomedical Engineering. 67(4). 1105–1113. 46 indexed citations
7.
Lee, Chang-Shing, Mei‐Hui Wang, Naoyuki Kubota, et al.. (2018). Human and Smart Machine Co-Learning: Brain-Computer Interaction at the 2017 IEEE International Conference on Systems, Man, and Cybernetics. IEEE Systems Man and Cybernetics Magazine. 4(2). 6–13. 3 indexed citations
8.
Nakanishi, Masaki, et al.. (2018). Evaluating the Performance of Non-Hair SSVEP-Based BCIs Featuring Template-Based Decoding Methods. PubMed. 2018. 1972–1975. 3 indexed citations
9.
Nakanishi, Masaki, Yu-Te Wang, & Tzyy‐Ping Jung. (2018). Optimizing Phase Intervals for Phase-Coded SSVEP-Based BCIs With Template-Based Algorithm. 650–655.
10.
Wei, Chun-Shu, Yu-Te Wang, Chin‐Teng Lin, & Tzyy‐Ping Jung. (2018). Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(2). 400–406. 122 indexed citations
11.
Wang, Yu-Te, et al.. (2017). ANALYSIS OF GRIP FORCE DURING GOLF PUTTING AT DIFFERENT DISTANCES - PILOT STUDY. ISBS Proceedings Archive. 35(1). 206. 1 indexed citations
12.
Wang, Yu-Te, et al.. (2016). CALIBRATION OF PRESSURE SENSORS FOR HAND GRIP MEASUREMENT. ISBS - Conference Proceedings Archive. 34(1). 2 indexed citations
13.
Xu, Minpeng, Yijun Wang, Masaki Nakanishi, et al.. (2016). Fast detection of covert visuospatial attention using hybrid N2pc and SSVEP features. Journal of Neural Engineering. 13(6). 66003–66003. 21 indexed citations
14.
Wang, Yu-Te, et al.. (2016). Determining Digital Literacy Competencies in Technical Senior High Schools Using Fuzzy Delphi Analysis. International Journal of Information and Education Technology. 7(8). 612–616. 4 indexed citations
15.
Nakanishi, Masaki, Yijun Wang, Yu-Te Wang, & Tzyy‐Ping Jung. (2015). A dynamic stopping method for improving performance of steady-state visual evoked potential based brain-computer interfaces. PubMed. 2015. 1057–1060. 13 indexed citations
16.
Nakanishi, Masaki, et al.. (2015). A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials. PLoS ONE. 10(10). e0140703–e0140703. 264 indexed citations
17.
Wei, Chun-Shu, Yuan‐Pin Lin, Yu-Te Wang, et al.. (2015). Selective Transfer Learning for EEG-Based Drowsiness Detection. 36 indexed citations
18.
Wang, Yijun, et al.. (2012). Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis. PLoS ONE. 7(5). e37665–e37665. 49 indexed citations
19.
Mike, Yu, Yu-Te Wang, Yijun Wang, et al.. (2011). Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(2). 228–235. 225 indexed citations
20.
Wang, Yu-Te, Yijun Wang, & Tzyy‐Ping Jung. (2011). A cell-phone-based brain–computer interface for communication in daily life. Journal of Neural Engineering. 8(2). 25018–25018. 132 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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