Pierce Lai
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Blind Source Separation Techniques 3
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- Face and Expression Recognition 2
- Image and Signal Denoising Methods 1
- Currency Recognition and Detection 1
- Handwritten Text Recognition Techniques 1
- Co-authors
- Colin Fyfe (5 shared papers)Darryl K. Charles (1 shared paper)Donald MacDonald (1 shared paper)Roman Rosipal (1 shared paper)Sam Lee (1 shared paper)Patrick Wang (1 shared paper)
- Journals
- Neural Processing Letters (1 paper)International Journal of Neural Systems (1 paper)Neural Networks (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Pierce Lai
5 papers receiving 439 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 236
- Signal Processing 110
- Artificial Intelligence 211
- Analytical Chemistry 51
- Media Technology 39
Countries citing papers authored by Pierce Lai
This map shows the geographic impact of Pierce Lai'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 Pierce Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierce Lai more than expected).
Fields of papers citing papers by Pierce Lai
This network shows the impact of papers produced by Pierce Lai. 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 Pierce Lai. The network helps show where Pierce Lai may publish in the future.
Co-authors
The 6 scholars most cited alongside Pierce Lai, 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 | 2000 | 384 | |
| 2 | 1999 | 68 | |
| 3 | Unsupervised learning using radial kernels | 2001 | 3 |
| 4 | 2002 | 2 | |
| 5 | 2001 | 1 | |
| 6 | 2023 | 0 |
About Pierce Lai
Pierce Lai is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Geometry and Topology and Insect Science, having authored 6 papers that have together received 458 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Blind Source Separation Techniques (3 papers), Face and Expression Recognition (2 papers), Morphological variations and asymmetry (2 papers), Image and Signal Denoising Methods (1 paper), Advanced Text Analysis Techniques (1 paper), Currency Recognition and Detection (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Signal Processing (110 citations), Artificial Intelligence (211 citations), Analytical Chemistry (51 citations) and Media Technology (39 citations). Pierce Lai has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Colin Fyfe, Darryl K. Charles, Donald MacDonald, Roman Rosipal, Sam Lee and Patrick Wang. Their work appears in journals such as Neural Processing Letters, International Journal of Neural Systems, Neural Networks and International Journal of Pattern Recognition and Artificial Intelligence.
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.