Paul Kwan
Impact in
- Small Animals top 5%
- Animal Behavior and Welfare Studies
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Image Retrieval and Classification Techniques 19
- Advanced Image and Video Retrieval Techniques 15
- Face and Expression Recognition 9
- Medical Image Segmentation Techniques 7
- Co-authors
- Hawlader Abdullah Al-MamunGreg FalzonJunbin GaoSam ClarkLeifeng GuoCedric GondroRamendra PrasadMumtaz Ali
In The Last Decade
Paul Kwan
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 158
- Small Animals 128
- Analytical Chemistry 127
- Computer Vision and Pattern Recognition 246
- Animal Science and Zoology 116
- Plant Science 387
Countries citing papers authored by Paul Kwan
This map shows the geographic impact of Paul Kwan'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 Paul Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kwan more than expected).
Fields of papers citing papers by Paul Kwan
This network shows the impact of papers produced by Paul Kwan. 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 Paul Kwan. The network helps show where Paul Kwan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Kwan, 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 | 2025 | 2 | |
| 2 | 2024 | 14 | |
| 3 | 2022 | 30 | |
| 4 | 2021 | 43 | |
| 5 | Pricing Mergers & Acquisitions Using Agent-Based Modeling | 2017 | 1 |
| 6 | 2017 | 13 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 125 | |
| 10 | 2015 | 94 | |
| 11 | Genome-Wide Association Study on Body Weight Reveals Major Loci on OAR6 in Australian Merino Sheep | 2014 | 2 |
| 12 | 2014 | 9 | |
| 13 | 2013 | 6 | |
| 14 | 2012 | 155 | |
| 15 | Use of in vivo and in vitro bioassays for environmental monitoring | 2009 | 2 |
| 16 | 2009 | 109 | |
| 17 | 2008 | 14 | |
| 18 | 2008 | 11 | |
| 19 | Fingerprint Matching using Enhanced Shape Context | 2006 | 4 |
| 20 | A multi-step strategy for approximate similarity search in image databases | 2006 | 1 |
About Paul Kwan
Paul Kwan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Ecological Modeling, Computer Science Applications and Analytical Chemistry, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (19 papers), Advanced Image and Video Retrieval Techniques (15 papers), Face and Expression Recognition (9 papers), Spectroscopy and Chemometric Analyses (9 papers), Smart Agriculture and AI (7 papers), Medical Image Segmentation Techniques (7 papers), Animal Behavior and Welfare Studies (6 papers) and Date Palm Research Studies (5 papers). The work is most often cited by research in Small Animals (128 citations), Analytical Chemistry (127 citations), Computer Vision and Pattern Recognition (246 citations), Animal Science and Zoology (116 citations) and Plant Science (387 citations). Paul Kwan has collaborated with scholars based in Australia, Japan and China. Frequent co-authors include Hawlader Abdullah Al-Mamun, Greg Falzon, Junbin Gao, Sam Clark, Leifeng Guo, Cedric Gondro, Ramendra Prasad, Mumtaz Ali, Faisal Ahmed and Daming Shi. Their work appears in journals such as Computers and Electronics in Agriculture, Agronomy, Genetics Selection Evolution, Ecology and Evolution and Pattern Recognition Letters.
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.