Kin Fun Li
Impact in
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- Online Learning and Analytics
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Image and Video Retrieval Techniques 11
- Video Analysis and Summarization 9
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- Distributed systems and fault tolerance 6
- Co-authors
- Darshika G. Perera (10 shared papers)Fayez Gebali (12 shared papers)Stephen W. Neville (3 shared papers)David W. Capson (8 shared papers)Stephen Lau (1 shared paper)J. Kotowicz (1 shared paper)Zhang Li (1 shared paper)Wojciech Uchman (1 shared paper)
In The Last Decade
Kin Fun Li
79 papers receiving 624 citations
Peers
Comparison fields: 5 of 99
- Computer Science Applications 68
- Human-Computer Interaction 59
- Hardware and Architecture 67
- Information Systems 174
- Computer Vision and Pattern Recognition 154
Countries citing papers authored by Kin Fun Li
This map shows the geographic impact of Kin Fun Li'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 Kin Fun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin Fun Li more than expected).
Fields of papers citing papers by Kin Fun Li
This network shows the impact of papers produced by Kin Fun Li. 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 Kin Fun Li. The network helps show where Kin Fun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kin Fun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2008 | 47 | |
| 3 | 2019 | 36 | |
| 4 | 2011 | 36 | |
| 5 | 2013 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2011 | 28 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2008 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2007 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2011 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2010 | 12 |
About Kin Fun Li
Kin Fun Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Artificial Intelligence and Hardware and Architecture, having authored 90 papers that have together received 686 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Video Analysis and Summarization (9 papers), Recommender Systems and Techniques (9 papers), Algorithms and Data Compression (7 papers), Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (6 papers), Embedded Systems Design Techniques (6 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Science Applications (68 citations), Human-Computer Interaction (59 citations), Hardware and Architecture (67 citations), Information Systems (174 citations) and Computer Vision and Pattern Recognition (154 citations). Kin Fun Li has collaborated with scholars based in Canada, Japan and China. Frequent co-authors include Darshika G. Perera, Fayez Gebali, Stephen W. Neville, David W. Capson, Stephen Lau, J. Kotowicz, Zhang Li, Wojciech Uchman, Nigel J. Livingston and Foad Hamidi. Their work appears in journals such as International Journal of Embedded Systems, Knowledge-Based Systems, IEEE Access, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Circuits & Systems II Express Briefs.
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.