Pin-I Pai

4 papers and 163 indexed citations i.

About

Pin-I Pai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Pin-I Pai has authored 4 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Pin-I Pai’s work include Advanced Data Compression Techniques (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Pin-I Pai is often cited by papers focused on Advanced Data Compression Techniques (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). 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, Richard J. Hathaway and Nikhil R. Pal 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

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

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.

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).

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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2025