Ruey‐Song Huang

2.2k total citations
33 papers, 1.6k citations indexed

About

Ruey‐Song Huang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruey‐Song Huang has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruey‐Song Huang's work include Visual perception and processing mechanisms (11 papers), EEG and Brain-Computer Interfaces (11 papers) and Neural dynamics and brain function (9 papers). Ruey‐Song Huang is often cited by papers focused on Visual perception and processing mechanisms (11 papers), EEG and Brain-Computer Interfaces (11 papers) and Neural dynamics and brain function (9 papers). Ruey‐Song Huang collaborates with scholars based in United States, United Kingdom and Taiwan. Ruey‐Song Huang's co-authors include Martin I. Sereno, Tzyy‐Ping Jung, Flavia Filimon, Jonathan D. Nelson, Scott Makeig, Claudio Galletti, Gaspare Galati, Fabiana Patria, Sabrina Pitzalis and Patrizia Fattori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Ruey‐Song Huang

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruey‐Song Huang United States 17 1.3k 305 263 178 132 33 1.6k
Luca Pion-Tonachini United States 10 1.8k 1.3× 289 0.9× 210 0.8× 95 0.5× 192 1.5× 13 2.1k
Te‐Won Lee United States 6 2.3k 1.7× 389 1.3× 182 0.7× 64 0.4× 126 1.0× 8 2.6k
Jens‐Max Hopf Germany 31 3.2k 2.4× 521 1.7× 217 0.8× 117 0.7× 60 0.5× 89 3.8k
Cornelia Kranczioch Germany 22 2.0k 1.5× 247 0.8× 143 0.5× 120 0.7× 180 1.4× 56 2.2k
Jochem W. Rieger Germany 23 2.0k 1.5× 618 2.0× 321 1.2× 44 0.2× 135 1.0× 75 2.5k
Sangtae Ahn South Korea 17 1.2k 0.9× 208 0.7× 139 0.5× 263 1.5× 220 1.7× 50 1.6k
Paul Dassonville United States 21 1.4k 1.1× 159 0.5× 222 0.8× 206 1.2× 72 0.5× 40 1.6k
Piero Paolo Battaglini Italy 23 2.0k 1.5× 163 0.5× 232 0.9× 317 1.8× 167 1.3× 62 2.1k
Peter Boord Australia 17 685 0.5× 349 1.1× 128 0.5× 55 0.3× 162 1.2× 26 1.2k
Keiichi Kitajo Japan 19 1.2k 0.9× 193 0.6× 110 0.4× 142 0.8× 43 0.3× 64 1.5k

Countries citing papers authored by Ruey‐Song Huang

Since Specialization
Citations

This map shows the geographic impact of Ruey‐Song Huang'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 Ruey‐Song Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruey‐Song Huang more than expected).

Fields of papers citing papers by Ruey‐Song Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruey‐Song Huang. 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 Ruey‐Song Huang. The network helps show where Ruey‐Song Huang may publish in the future.

Co-authorship network of co-authors of Ruey‐Song Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruey‐Song Huang. A scholar is included among the top collaborators of Ruey‐Song Huang 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 Ruey‐Song Huang. Ruey‐Song Huang 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
1.
Zhang, Haoyun, et al.. (2025). Multifaceted multilingual experiences modulate neurocognitive mechanisms of task switching. Bilingualism Language and Cognition. 28(5). 1346–1362. 1 indexed citations
2.
Liu, Lili, et al.. (2024). Phase‐encoded fMRI tracks down brainstorms of natural language processing with subsecond precision. Human Brain Mapping. 45(2). e26617–e26617. 3 indexed citations
3.
Sereno, Martin I., et al.. (2022). Topological Maps and Brain Computations From Low to High. Frontiers in Systems Neuroscience. 16. 787737–787737. 13 indexed citations
4.
Huang, Ruey‐Song, et al.. (2018). Spatiotemporal integration of looming visual and tactile stimuli near the face. Human Brain Mapping. 39(5). 2156–2176. 13 indexed citations
5.
Huang, Ruey‐Song & Martin I. Sereno. (2018). Multisensory and sensorimotor maps. Handbook of clinical neurology. 151. 141–161. 36 indexed citations
6.
Kreutz-Delgado, Kenneth, et al.. (2018). Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. NeuroImage. 185. 58–71. 5 indexed citations
7.
Huang, Ruey‐Song, et al.. (2017). Mapping the complex topological organization of the human parietal face area. NeuroImage. 163. 459–470. 18 indexed citations
8.
Huang, Ruey‐Song, et al.. (2015). Neural Substrates Underlying the Passive Observation and Active Control of Translational Egomotion. Journal of Neuroscience. 35(10). 4258–4267. 29 indexed citations
9.
Sereno, Martin I. & Ruey‐Song Huang. (2013). Multisensory maps in parietal cortex. Current Opinion in Neurobiology. 24(1). 39–46. 138 indexed citations
10.
Huang, Ruey‐Song & Martin I. Sereno. (2013). Bottom-up Retinotopic Organization Supports Top-down Mental Imagery. PubMed. 7(1). 58–67. 33 indexed citations
11.
Filimon, Flavia, Jonathan D. Nelson, Ruey‐Song Huang, & Martin I. Sereno. (2009). Multiple Parietal Reach Regions in Humans: Cortical Representations for Visual and Proprioceptive Feedback during On-Line Reaching. Journal of Neuroscience. 29(9). 2961–2971. 222 indexed citations
12.
Huang, Ruey‐Song, et al.. (2009). Independent modulators mediate spectra of multiple brain processes in a VR-based driving experiment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7343. 73431C–73431C. 4 indexed citations
13.
14.
Huang, Ruey‐Song & Martin I. Sereno. (2007). Visual stimulus presentation using fiber optics in the MRI scanner. Journal of Neuroscience Methods. 169(1). 76–83. 8 indexed citations
15.
Sereno, Martin I. & Ruey‐Song Huang. (2006). A human parietal face area contains aligned head-centered visual and tactile maps. Nature Neuroscience. 9(10). 1337–1343. 252 indexed citations
16.
Pitzalis, Sabrina, Claudio Galletti, Ruey‐Song Huang, et al.. (2006). Wide-Field Retinotopy Defines Human Cortical Visual Area V6. Journal of Neuroscience. 26(30). 7962–7973. 214 indexed citations
17.
Huang, Ruey‐Song, Tzyy‐Ping Jung, & Scott Makeig. (2005). Analyzing Event-Related Brain Dynamics in Continuous Compensatory Tracking Tasks. PubMed. 2005. 5750–5753. 7 indexed citations
18.
Kuo, Chih‐Jung, et al.. (2003). Facial model estimation from stereo/mono image sequence. IEEE Transactions on Multimedia. 5(1). 8–23. 4 indexed citations
19.
Kuo, Chih‐Jung, et al.. (2002). 3-D facial model estimation from single front-view facial image. IEEE Transactions on Circuits and Systems for Video Technology. 12(3). 183–192. 29 indexed citations
20.
Huang, Ruey‐Song, Ling‐Ling Tsai, & Chung J. Kuo. (2001). Selection of valid and reliable EEG features for predicting auditory and visual alertness levels.. PubMed. 25(1). 17–25. 22 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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