Pei-Yu Chi

26 total papers · 763 total citations
19 papers, 476 citations indexed

About

Pei-Yu Chi is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Pei-Yu Chi has authored 19 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Human-Computer Interaction and 4 papers in Sociology and Political Science. Recurrent topics in Pei-Yu Chi's work include Video Analysis and Summarization (7 papers), Innovative Human-Technology Interaction (6 papers) and Interactive and Immersive Displays (5 papers). Pei-Yu Chi is often cited by papers focused on Video Analysis and Summarization (7 papers), Innovative Human-Technology Interaction (6 papers) and Interactive and Immersive Displays (5 papers). Pei-Yu Chi collaborates with scholars based in United States, Taiwan and Canada. Pei-Yu Chi's co-authors include Wilmot Li, Mira Dontcheva, Björn Hartmann, Yang Li, Hao-Hua Chu, Henry Lieberman, Jen‐Hao Chen, Bing‐Yu Chen, Joyce Liu and Bjoern Hartmann and has published in prestigious journals such as IEEE Pervasive Computing.

In The Last Decade

Pei-Yu Chi

19 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Pei-Yu Chi 203 195 84 76 70 19 476
Rob Ingram 244 1.2× 174 0.9× 74 0.9× 91 1.2× 35 0.5× 10 507
Casey Reas 113 0.6× 150 0.8× 97 1.2× 43 0.6× 42 0.6× 17 509
Jef Raskin 236 1.2× 96 0.5× 48 0.6× 64 0.8× 87 1.2× 20 514
Reuben Edwards 168 0.8× 178 0.9× 49 0.6× 115 1.5× 45 0.6× 51 530
Željko Obrenović 160 0.8× 120 0.6× 47 0.6× 64 0.8× 99 1.4× 40 424
Marco Manca 117 0.6× 219 1.1× 67 0.8× 23 0.3× 102 1.5× 44 543
Jennica Falk 248 1.2× 175 0.9× 31 0.4× 105 1.4× 33 0.5× 11 411
Minsuk Chang 118 0.6× 115 0.6× 42 0.5× 58 0.8× 177 2.5× 28 459
Laurent Denoue 228 1.1× 179 0.9× 60 0.7× 117 1.5× 86 1.2× 49 533
Reinhard Oppermann 130 0.6× 101 0.5× 90 1.1× 56 0.7× 105 1.5× 27 494

Countries citing papers authored by Pei-Yu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Yu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Yu Chi. 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 Pei-Yu Chi. The network helps show where Pei-Yu Chi may publish in the future.

Co-authorship network of co-authors of Pei-Yu Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Yu Chi. A scholar is included among the top collaborators of Pei-Yu Chi 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 Pei-Yu Chi. Pei-Yu Chi 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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