Ruei-Cheng Wu

748 total citations
11 papers, 567 citations indexed

About

Ruei-Cheng Wu is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Ruei-Cheng Wu has authored 11 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Ruei-Cheng Wu's work include EEG and Brain-Computer Interfaces (7 papers), Sleep and Work-Related Fatigue (4 papers) and Blind Source Separation Techniques (4 papers). Ruei-Cheng Wu is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Sleep and Work-Related Fatigue (4 papers) and Blind Source Separation Techniques (4 papers). Ruei-Cheng Wu collaborates with scholars based in Taiwan and United States. Ruei-Cheng Wu's co-authors include Chin‐Teng Lin, Sheng‐Fu Liang, Tzyy‐Ping Jung, Wen-Hung Chao, Yujie Chen, Teng‐Yi Huang, Yu‐Chieh Chen, Teng‐Yi Huang, Shiaw-Shian Yu and Ming–Ting Sun and has published in prestigious journals such as Journal of Visual Communication and Image Representation, EURASIP Journal on Advances in Signal Processing and Journal of information science and engineering.

In The Last Decade

Ruei-Cheng Wu

11 papers receiving 527 citations

Peers

Ruei-Cheng Wu

CN

ECP

CCM

SP

BE

Chih-Feng Chao Taiwan

Lanlan Chen China

Christos D. Katsis Greece

Wen-Hung Chao Taiwan

Budi Thomas Jap Australia

Chongxun Zheng China

Zirui Lan Singapore

Zijing Mao United States

Agustina Garcés Correa Argentina

Chih-Feng Chao Taiwan

Ruei-Cheng Wu

353 ×1.0

CN

214 ×0.7

ECP

119 ×0.9

CCM

95 ×0.8

SP

118 ×1.2

BE

Citations per year, relative to Ruei-Cheng Wu Ruei-Cheng Wu (= 1×) peers Chih-Feng Chao

Countries citing papers authored by Ruei-Cheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ruei-Cheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruei-Cheng Wu. 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 Ruei-Cheng Wu. The network helps show where Ruei-Cheng Wu may publish in the future.

Co-authorship network of co-authors of Ruei-Cheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ruei-Cheng Wu. A scholar is included among the top collaborators of Ruei-Cheng Wu 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 Ruei-Cheng Wu. Ruei-Cheng Wu 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

1.

Liu, Haowei, Ming–Ting Sun, Ruei-Cheng Wu, & Shiaw-Shian Yu. (2011). Automatic video activity detection using compressed domain motion trajectories for H.264 videos. Journal of Visual Communication and Image Representation. 22(5). 432–439. 13 indexed citations

2.

Liu, Haowei, Ming–Ting Sun, Ruei-Cheng Wu, & Shiaw-Shian Yu. (2010). Video activity detection using compressed domain motion trajectories for H.264 videos. 3693–3696. 3 indexed citations

3.

Wu, Ruei-Cheng, et al.. (2010). An Online Learning Method for Shadow Detection. 29. 145–150. 4 indexed citations

4.

Liang, Sheng‐Fu, et al.. (2005). Machine Learning with Automatic Feature Selection for Multi-class Protein Fold Classification *. Journal of information science and engineering. 21(4). 711–720. 2 indexed citations

5.

Lin, Chin‐Teng, Yu‐Chieh Chen, Ruei-Cheng Wu, Sheng‐Fu Liang, & Teng‐Yi Huang. (2005). Assessment of Driver’s Driving Performance and Alertness Using EEG-based Fuzzy Neural Networks. 152–155. 26 indexed citations

6.

Lin, Chin‐Teng, Ruei-Cheng Wu, Tzyy‐Ping Jung, Sheng‐Fu Liang, & Teng‐Yi Huang. (2005). Estimating Driving Performance Based on EEG Spectrum Analysis. EURASIP Journal on Advances in Signal Processing. 2005(19). 123 indexed citations

7.

Liang, Sheng‐Fu, Chin‐Teng Lin, Ruei-Cheng Wu, Teng‐Yi Huang, & Wen-Hung Chao. (2005). Classification of Driver’s Cognitive Responses From EEG Analysis. 27. 156–159. 5 indexed citations

8.

Wu, Ruei-Cheng, Chin‐Teng Lin, Tzyy‐Ping Jung, Sheng‐Fu Liang, & Teng‐Yi Huang. (2005). EEG-based fuzzy neural network estimator for driving performance. 22. 4034–4040. 13 indexed citations

9.

Lin, Chin‐Teng, Ruei-Cheng Wu, Sheng‐Fu Liang, et al.. (2005). EEG-based drowsiness estimation for safety driving using independent component analysis. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 52(12). 2726–2738. 361 indexed citations

10.

Wu, Ruei-Cheng, et al.. (2005). Estimating driving performance based on EEG spectrum and fuzzy neural network. 2. 585–590. 12 indexed citations

11.

Wu, Ruei-Cheng, Sheng‐Fu Liang, Chin‐Teng Lin, & Chun‐Fei Hsu. (2004). Applications of event-related-potential-based brain computer interface to intelligent transportation systems. 2. 813–818. 5 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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