Lichun Wang
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Human Pose and Action Recognition 14
- Multimodal Machine Learning Applications 13
- Advanced Image and Video Retrieval Techniques 5
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- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Baocai Yin (27 shared papers)Dehui Kong (20 shared papers)Xin‐Hui Xing (1 shared paper)Cheng‐Yu Bao (1 shared paper)Wenjun Sun (1 shared paper)He‐Ping Li (1 shared paper)Gang Li (1 shared paper)Ziliang Huang (1 shared paper)
In The Last Decade
Lichun Wang
46 papers receiving 460 citations
Peers
Comparison fields: 5 of 114
- Human-Computer Interaction 82
- Computer Vision and Pattern Recognition 146
- Computational Mathematics 2
- Developmental and Educational Psychology 37
- Artificial Intelligence 85
Countries citing papers authored by Lichun Wang
This map shows the geographic impact of Lichun Wang'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 Lichun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichun Wang more than expected).
Fields of papers citing papers by Lichun Wang
This network shows the impact of papers produced by Lichun Wang. 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 Lichun Wang. The network helps show where Lichun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichun Wang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 137 | |
| 2 | 2022 | 35 | |
| 3 | 2014 | 32 | |
| 4 | 2018 | 24 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2013 | 16 | |
| 8 | 2010 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2020 | 7 |
About Lichun Wang
Lichun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Human-Computer Interaction and Developmental and Educational Psychology, having authored 54 papers that have together received 470 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Multimodal Machine Learning Applications (13 papers), Hand Gesture Recognition Systems (12 papers), Human Motion and Animation (6 papers), Anomaly Detection Techniques and Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Computer Vision and Pattern Recognition (146 citations), Computational Mathematics (2 citations), Developmental and Educational Psychology (37 citations) and Artificial Intelligence (85 citations). Lichun Wang has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Baocai Yin, Dehui Kong, Xin‐Hui Xing, Cheng‐Yu Bao, Wenjun Sun, He‐Ping Li, Gang Li, Ziliang Huang, Shaofan Wang and Ru Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Tools and Applications, IEEE Robotics and Automation Letters, IEEE Transactions on Multimedia and European Journal of Agronomy.
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.