Kai-yuh Hsiao

29 total papers · 1.2k total citations
21 papers, 830 citations indexed

About

Kai-yuh Hsiao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Kai-yuh Hsiao has authored 21 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Human-Computer Interaction and 7 papers in Control and Systems Engineering. Recurrent topics in Kai-yuh Hsiao's work include Music Technology and Sound Studies (8 papers), Interactive and Immersive Displays (8 papers) and Tactile and Sensory Interactions (6 papers). Kai-yuh Hsiao is often cited by papers focused on Music Technology and Sound Studies (8 papers), Interactive and Immersive Displays (8 papers) and Tactile and Sensory Interactions (6 papers). Kai-yuh Hsiao collaborates with scholars based in United States. Kai-yuh Hsiao's co-authors include Joseph A. Paradiso, Deb Roy, Nikolaos Mavridis, Sachin Chitta, Matei Ciocarlie, Edward G. Jones, Ari Y. Benbasat, Matthew S. Reynolds, Eric Hu and Leslie Pack Kaelbling and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IBM Systems Journal.

In The Last Decade

Kai-yuh Hsiao

21 papers receiving 731 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai-yuh Hsiao 326 260 222 218 188 21 830
Johnny Lee 313 1.0× 236 0.9× 186 0.8× 98 0.4× 129 0.7× 28 812
Mircea Nicolescu 591 1.8× 304 1.2× 547 2.5× 154 0.7× 105 0.6× 42 1.0k
Umar Asif 278 0.9× 346 1.3× 115 0.5× 127 0.6× 311 1.7× 32 853
Kai Nickel 442 1.4× 245 0.9× 379 1.7× 106 0.5× 65 0.3× 19 915
Hangxin Liu 216 0.7× 275 1.1× 104 0.5× 83 0.4× 107 0.6× 59 706
Diego R. Faria 350 1.1× 120 0.5× 179 0.8× 259 1.2× 212 1.1× 54 921
Yuanqing Li 212 0.7× 415 1.6× 166 0.7× 285 1.3× 102 0.5× 18 826
Nobutaka Shimada 313 1.0× 181 0.7× 409 1.8× 137 0.6× 62 0.3× 67 1.0k
Thomas G. Zimmerman 251 0.8× 111 0.4× 455 2.0× 226 1.0× 168 0.9× 20 780
Martin Colley 294 0.9× 97 0.4× 56 0.3× 139 0.6× 287 1.5× 37 932

Countries citing papers authored by Kai-yuh Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Kai-yuh Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-yuh Hsiao. 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 Kai-yuh Hsiao. The network helps show where Kai-yuh Hsiao may publish in the future.

Co-authorship network of co-authors of Kai-yuh Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai-yuh Hsiao. A scholar is included among the top collaborators of Kai-yuh Hsiao 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 Kai-yuh Hsiao. Kai-yuh Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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