Pei-Ying Chiang

48 total papers · 646 total citations
25 papers, 404 citations indexed

About

Pei-Ying Chiang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Pei-Ying Chiang has authored 25 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 4 papers in Cognitive Neuroscience. Recurrent topics in Pei-Ying Chiang's work include Hand Gesture Recognition Systems (4 papers), Augmented Reality Applications (4 papers) and Face recognition and analysis (4 papers). Pei-Ying Chiang is often cited by papers focused on Hand Gesture Recognition Systems (4 papers), Augmented Reality Applications (4 papers) and Face recognition and analysis (4 papers). Pei-Ying Chiang collaborates with scholars based in Taiwan, United States and China. Pei-Ying Chiang's co-authors include Bor-Shing Lin, Zhigang Deng, Ulrich Neumann, Wen‐Hung Liao, Tsai‐Yen Li, Chien‐Hung Huang, Chih‐Wei Peng, I‐Jung Lee, Chin‐Laung Lei and C.‐C. Jay Kuo and has published in prestigious journals such as Sensors, Sustainability and Applied Sciences.

In The Last Decade

Pei-Ying Chiang

25 papers receiving 384 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-Ying Chiang 254 89 89 86 48 25 404
Jurriaan D. Mulder 249 1.0× 45 0.5× 101 1.1× 37 0.4× 31 0.6× 33 431
Martin Göbel 166 0.7× 67 0.8× 171 1.9× 40 0.5× 28 0.6× 52 451
Wei Zhang 185 0.7× 152 1.7× 38 0.4× 32 0.4× 21 0.4× 32 477
Soshi Iba 163 0.6× 63 0.7× 81 0.9× 231 2.7× 41 0.9× 22 411
Rahul Arora 239 0.9× 110 1.2× 283 3.2× 44 0.5× 72 1.5× 13 488
Marc Christie 282 1.1× 105 1.2× 147 1.7× 81 0.9× 10 0.2× 26 458
Patrick Bourdot 175 0.7× 106 1.2× 220 2.5× 26 0.3× 26 0.5× 59 463
Youngwoo Yoon 252 1.0× 19 0.2× 130 1.5× 137 1.6× 67 1.4× 35 456
Matthew Kyan 223 0.9× 34 0.4× 82 0.9× 64 0.7× 9 0.2× 42 390
Benjamín Hernández 237 0.9× 32 0.4× 27 0.3× 45 0.5× 23 0.5× 27 374

Countries citing papers authored by Pei-Ying Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ying Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Ying Chiang

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