Pin-I Pai

8 total papers · 407 total citations
6 papers, 209 citations indexed

About

Pin-I Pai is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Computational Mechanics. According to data from OpenAlex, Pin-I Pai has authored 6 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Urban Studies and 1 paper in Computational Mechanics. Recurrent topics in Pin-I Pai's work include Advanced Data Compression Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Pin-I Pai is often cited by papers focused on Advanced Data Compression Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Pin-I Pai collaborates with scholars based in United States and India. Pin-I Pai's co-authors include N.B. Karayiannis, James C. Bezdek, Nikhil R. Pal and Richard J. Hathaway and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Pin-I Pai

6 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Pin-I Pai 142 99 29 24 20 6 209
Yi Wen 151 1.1× 175 1.8× 11 0.4× 17 0.7× 5 0.3× 8 241
Markus Maier 87 0.6× 113 1.1× 21 0.7× 16 0.7× 6 0.3× 4 186
Lin Chen 116 0.8× 127 1.3× 12 0.4× 12 0.5× 14 0.7× 11 196
Doudou Lin 86 0.6× 188 1.9× 9 0.3× 8 0.3× 4 0.2× 7 283
Elnaz Barshan 92 0.6× 87 0.9× 23 0.8× 20 0.8× 21 1.1× 7 234
Peng Sun 96 0.7× 111 1.1× 42 1.4× 7 0.3× 18 0.9× 5 260
M. Schenkel 184 1.3× 112 1.1× 56 1.9× 26 1.1× 5 0.3× 11 253
Vassilis Kalofolias 71 0.5× 113 1.1× 25 0.9× 19 0.8× 3 0.1× 6 205
Adam Woźnica 118 0.8× 88 0.9× 22 0.8× 14 0.6× 3 0.1× 9 182
Olga Kouropteva 125 0.9× 67 0.7× 32 1.1× 21 0.9× 32 1.6× 5 200

Countries citing papers authored by Pin-I Pai

Since Specialization
Citations

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

Fields of papers citing papers by Pin-I Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pin-I Pai. 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 Pin-I Pai. The network helps show where Pin-I Pai may publish in the future.

Co-authorship network of co-authors of Pin-I Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Pin-I Pai. A scholar is included among the top collaborators of Pin-I Pai 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 Pin-I Pai. Pin-I Pai 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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2026