Kai-Yin Cheng

25 total papers · 723 total citations
17 papers, 545 citations indexed

About

Kai-Yin Cheng is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai-Yin Cheng has authored 17 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Human-Computer Interaction, 10 papers in Cognitive Neuroscience and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai-Yin Cheng's work include Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (10 papers) and Augmented Reality Applications (7 papers). Kai-Yin Cheng is often cited by papers focused on Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (10 papers) and Augmented Reality Applications (7 papers). Kai-Yin Cheng collaborates with scholars based in Taiwan, China and United States. Kai-Yin Cheng's co-authors include Bing‐Yu Chen, Rong-Hao Liang, Liwei Chan, Mike Y. Chen, Ming‐Chang Tsai, Wen-Huang Cheng, De-Nian Yang, Hao-Hua Chu, Shengjie Luo and Shuyang Lin and has published in prestigious journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Kai-Yin Cheng

17 papers receiving 535 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-Yin Cheng 418 318 224 41 35 17 545
Rose Johnson 280 0.7× 150 0.5× 144 0.6× 47 1.1× 21 0.6× 15 492
Tao Ni 383 0.9× 198 0.6× 260 1.2× 23 0.6× 44 1.3× 26 599
Laura Trutoiu 289 0.7× 143 0.4× 214 1.0× 42 1.0× 17 0.5× 19 529
Martin Hachet 349 0.8× 298 0.9× 232 1.0× 23 0.6× 22 0.6× 46 586
Huy Viet Le 509 1.2× 379 1.2× 130 0.6× 25 0.6× 26 0.7× 37 608
Thorsten Karrer 277 0.7× 233 0.7× 200 0.9× 52 1.3× 57 1.6× 29 520
Gábor Sörös 281 0.7× 146 0.5× 270 1.2× 44 1.1× 39 1.1× 45 504
Te-Yen Wu 339 0.8× 226 0.7× 108 0.5× 54 1.3× 10 0.3× 29 457
Karmen Franinović 162 0.4× 294 0.9× 183 0.8× 32 0.8× 63 1.8× 19 594
Mikael Fernström 184 0.4× 195 0.6× 223 1.0× 30 0.7× 114 3.3× 41 489

Countries citing papers authored by Kai-Yin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kai-Yin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai-Yin Cheng

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