Lichun Wang
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
Papers in
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- Human Pose and Action Recognition 14
- Multimodal Machine Learning Applications 12
- Advanced Image and Video Retrieval Techniques 4
- Video Analysis and Summarization 3
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- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Baocai Yin (25 shared papers)Dehui Kong (19 shared papers)Ziliang Huang (1 shared paper)Wenjun Sun (1 shared paper)He‐Ping Li (1 shared paper)Gang Li (1 shared paper)Xin‐Hui Xing (1 shared paper)Cheng‐Yu Bao (1 shared paper)
In The Last Decade
Lichun Wang
45 papers receiving 439 citations
Peers
Comparison fields: 5 of 110
- Human-Computer Interaction 75
- Computer Vision and Pattern Recognition 139
- Computational Mathematics 2
- Developmental and Educational Psychology 33
- Artificial Intelligence 78
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 134 | |
| 2 | 2022 | 35 | |
| 3 | 2014 | 30 | |
| 4 | 2018 | 23 | |
| 5 | 2023 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2010 | 14 | |
| 8 | 2013 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2015 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2013 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2010 | 6 |
About Lichun Wang
Lichun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Control and Systems Engineering and Developmental and Educational Psychology, having authored 51 papers that have together received 449 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Hand Gesture Recognition Systems (12 papers), Multimodal Machine Learning Applications (12 papers), Human Motion and Animation (6 papers), Anomaly Detection Techniques and Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Human-Computer Interaction (75 citations), Computer Vision and Pattern Recognition (139 citations), Computational Mathematics (2 citations), Developmental and Educational Psychology (33 citations) and Artificial Intelligence (78 citations). Lichun Wang has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Baocai Yin, Dehui Kong, Ziliang Huang, Wenjun Sun, He‐Ping Li, Gang Li, Xin‐Hui Xing, Cheng‐Yu Bao, 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, Neurocomputing, IEEE Robotics and Automation Letters and IEEE Transactions on Multimedia.
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.