L. K. Li
Impact in
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- Face and Expression Recognition
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- AI in cancer detection
Papers in
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- Advanced Clustering Algorithms Research 4
- Text and Document Classification Technologies 3
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- Robotic Path Planning Algorithms 3
- Face and Expression Recognition 3
- Co-authors
- Guoqiang Han (3 shared papers)Jane You (3 shared papers)Yunjun Gao (2 shared papers)Hau−San Wong (2 shared papers)Zhiwen Yu (3 shared papers)Jiming Liu (1 shared paper)Chuangxia Huang (4 shared papers)Mingwen Shao (2 shared papers)
In The Last Decade
L. K. Li
23 papers receiving 162 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 76
- Artificial Intelligence 97
- Statistical and Nonlinear Physics 18
- Signal Processing 13
- Ocean Engineering 14
Countries citing papers authored by L. K. Li
This map shows the geographic impact of L. K. 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 L. K. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. K. Li more than expected).
Fields of papers citing papers by L. K. Li
This network shows the impact of papers produced by L. K. 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 L. K. Li. The network helps show where L. K. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside L. K. 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2014 | 31 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 11 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2012 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2026 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2016 | 1 |
About L. K. Li
L. K. Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ocean Engineering, Statistical and Nonlinear Physics and Renewable Energy, Sustainability and the Environment, having authored 29 papers that have together received 165 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Robotic Path Planning Algorithms (3 papers), Maritime Navigation and Safety (3 papers), Face and Expression Recognition (3 papers), Complex Network Analysis Techniques (3 papers), Electrocatalysts for Energy Conversion (3 papers), Text and Document Classification Technologies (3 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (76 citations), Artificial Intelligence (97 citations), Statistical and Nonlinear Physics (18 citations), Signal Processing (13 citations) and Ocean Engineering (14 citations). L. K. Li has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Guoqiang Han, Jane You, Yunjun Gao, Hau−San Wong, Zhiwen Yu, Jiming Liu, Chuangxia Huang, Mingwen Shao, Guoxian Yu and Yong Liang. Their work appears in journals such as Information Sciences, Mathematics and Computers in Simulation, Frontiers in Neurorobotics, Catalysis Science & Technology and Mathematical Biosciences & Engineering.
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.