Yu-Te Wang

1.1k total citations
11 papers, 760 citations indexed

About

Yu-Te Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Yu-Te Wang has authored 11 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Yu-Te Wang's work include EEG and Brain-Computer Interfaces (10 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (5 papers). Yu-Te Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (5 papers). Yu-Te Wang collaborates with scholars based in United States, Taiwan and Japan. Yu-Te Wang's co-authors include Tzyy‐Ping Jung, Masaki Nakanishi, Yijun Wang, Yasue Mitsukura, Chun-Shu Wei, Chin‐Teng Lin, Yijun Wang, Yuan‐Pin Lin, Bor‐Shyh Lin and Kevin C. Tseng and has published in prestigious journals such as PLoS ONE, NeuroImage and Frontiers in Neuroscience.

In The Last Decade

Yu-Te Wang

11 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Te Wang United States	11	657	383	169	132	112	11	760
Ridha Djemal Tunisia	14	576 0.9×	220 0.6×	90 0.5×	150 1.1×	93 0.8×	47	728
Reza Abiri United States	9	769 1.2×	367 1.0×	176 1.0×	72 0.5×	150 1.3×	25	868
Bingchuan Liu China	9	694 1.1×	258 0.7×	198 1.2×	162 1.2×	131 1.2×	15	805
Xinan Fan China	10	582 0.9×	307 0.8×	117 0.7×	41 0.3×	241 2.2×	24	670
Soheil Borhani United States	9	655 1.0×	303 0.8×	147 0.9×	67 0.5×	130 1.2×	13	724
Pramod Gaur India	13	729 1.1×	295 0.8×	183 1.1×	244 1.8×	155 1.4×	16	900
Kavitha P. Thomas Singapore	16	662 1.0×	242 0.6×	113 0.7×	180 1.4×	181 1.6×	27	718
Karl McCreadie United Kingdom	11	537 0.8×	231 0.6×	142 0.8×	103 0.8×	123 1.1×	25	603

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

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11 of 11 papers shown

Wei, Chun-Shu, Yuan‐Pin Lin, Yu-Te Wang, Chin‐Teng Lin, & Tzyy‐Ping Jung. (2018). A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. NeuroImage. 174. 407–419. 79 indexed citations

Wang, Yu-Te, et al.. (2016). An Online Brain-Computer Interface Based on SSVEPs Measured From Non-Hair-Bearing Areas. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(1). 14–21. 50 indexed citations

Nakanishi, Masaki, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, & Tzyy‐Ping Jung. (2014). Generating Visual Flickers for Eliciting Robust Steady-State Visual Evoked Potentials at Flexible Frequencies Using Monitor Refresh Rate. PLoS ONE. 9(6). e99235–e99235. 70 indexed citations

Zao, John K., et al.. (2014). Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology. Frontiers in Human Neuroscience. 8. 370–370. 42 indexed citations

Wang, Yu-Te, Chun-Shu Wei, Teng‐Yi Huang, et al.. (2014). Developing an EEG-based on-line closed-loop lapse detection and mitigation system. Frontiers in Neuroscience. 8. 321–321. 26 indexed citations

Wang, Yijun, Masaki Nakanishi, Yu-Te Wang, & Tzyy‐Ping Jung. (2014). Enhancing detection of steady-state visual evoked potentials using individual training data. PubMed. 2014. 3037–3040. 73 indexed citations

Nakanishi, Masaki, Yijun Wang, Yu-Te Wang, Yasue Mitsukura, & Tzyy‐Ping Jung. (2014). A HIGH-SPEED BRAIN SPELLER USING STEADY-STATE VISUAL EVOKED POTENTIALS. International Journal of Neural Systems. 24(6). 1450019–1450019. 309 indexed citations

Tseng, Kevin C., Bor‐Shyh Lin, Lun‐De Liao, Yu-Te Wang, & Yu‐Lin Wang. (2013). Development of a Wearable Mobile Electrocardiogram Monitoring System by Using Novel Dry Foam Electrodes. IEEE Systems Journal. 8(3). 900–906. 54 indexed citations

Wang, Yu-Te, Yijun Wang, Chung‐Kuan Cheng, & Tzyy‐Ping Jung. (2013). Developing stimulus presentation on mobile devices for a truly portable SSVEP-based BCI. PubMed. 2013. 5271–5274. 14 indexed citations

10.

Wang, Yu-Te, et al.. (2012). Measuring Steady-State Visual Evoked Potentials from non-hair-bearing areas. PubMed. 2012. 1806–1809. 33 indexed citations

11.

Wang, Yu-Te, et al.. (2012). Cell-phone based Drowsiness Monitoring and Management system. 200–203. 10 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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