Pin-I Pai
Impact in
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Advanced Clustering Algorithms Research
Papers in
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- Advanced Data Compression Techniques 6
- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 3
- Image and Signal Denoising Methods 1
- Medical Image Segmentation Techniques 1
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- Advanced Computing and Algorithms 1
- Co-authors
- Nicolaos B. Karayiannis (8 shared papers)Richard J. Hathaway (1 shared paper)James C. Bezdek (1 shared paper)Nikhil Ranjan Pal (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Medical Imaging (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)IEEE Transactions on Neural Networks (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Pin-I Pai
8 papers receiving 287 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 226
- Artificial Intelligence 149
- Signal Processing 42
- Media Technology 31
- Urban Studies 17
Countries citing papers authored by Pin-I Pai
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
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-authors
The 4 scholars most cited alongside Pin-I Pai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 94 | |
| 2 | 1996 | 84 | |
| 3 | 1996 | 58 | |
| 4 | 1999 | 42 | |
| 5 | 1998 | 29 | |
| 6 | 1995 | 4 | |
| 7 | 2002 | 3 | |
| 8 | 1994 | 1 |
About Pin-I Pai
Pin-I Pai is a scholar working on Computer Vision and Pattern Recognition, Urban Studies, Artificial Intelligence, Computational Mechanics and Insect Science, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Neural Networks and Applications (2 papers), Image and Signal Denoising Methods (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Computing and Algorithms (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Artificial Intelligence (149 citations), Signal Processing (42 citations), Media Technology (31 citations) and Urban Studies (17 citations). Pin-I Pai has collaborated with scholars based in United States and India. Frequent co-authors include Nicolaos B. Karayiannis, Richard J. Hathaway, James C. Bezdek and Nikhil Ranjan Pal. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and IEEE Transactions on Neural Networks.
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.