Kan Li
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Signal Processing top 10%
- Speech and Audio Processing
- Blind Source Separation Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 4
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- Neural Networks and Applications 6
- Co-authors
- Xiao-Ping Steven Zhang (4 shared papers)José Carlos Príncipe (15 shared papers)Badong Chen (2 shared papers)Haiquan Zhao (1 shared paper)Lu Lu (1 shared paper)Tiemin Zhang (3 shared papers)William W. Lytton (3 shared papers)Dacheng Tao (1 shared paper)
- Journals
- Journal of Cardiac Failure (2 papers)Gates Open Research (2 papers)Computers and Electronics in Agriculture (2 papers)Frontiers in Neuroscience (2 papers)IEEE Transactions on Signal Processing (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kan Li
53 papers receiving 599 citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 242
- Signal Processing 83
- Computational Mechanics 67
- Artificial Intelligence 95
- Computer Graphics and Computer-Aided Design 9
Countries citing papers authored by Kan Li
This map shows the geographic impact of Kan 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 Kan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Li more than expected).
Fields of papers citing papers by Kan Li
This network shows the impact of papers produced by Kan 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 Kan Li. The network helps show where Kan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 162 | |
| 2 | 2017 | 43 | |
| 3 | 2016 | 38 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2024 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2024 | 21 | |
| 12 | 2023 | 18 | |
| 13 | 2008 | 15 | |
| 14 | 2025 | 13 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2024 | 6 |
About Kan Li
Kan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 58 papers that have together received 624 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (6 papers), Neural Networks and Applications (6 papers), Blind Source Separation Techniques (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Speech and Audio Processing (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Algorithms and Applications (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (242 citations), Signal Processing (83 citations), Computational Mechanics (67 citations), Artificial Intelligence (95 citations) and Computer Graphics and Computer-Aided Design (9 citations). Kan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiao-Ping Steven Zhang, José Carlos Príncipe, Badong Chen, Haiquan Zhao, Lu Lu, Tiemin Zhang, William W. Lytton, Dacheng Tao, Xiaofeng Wang and Shujian Yu. Their work appears in journals such as Journal of Cardiac Failure, Gates Open Research, Computers and Electronics in Agriculture, Frontiers in Neuroscience and IEEE Transactions on Signal Processing.
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.