Shile Li
Impact in
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- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Advanced Vision and Imaging 6
- Human Pose and Action Recognition 5
- Advanced Image and Video Retrieval Techniques 3
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- Robotics and Sensor-Based Localization 7
- Co-authors
- Dongheui Lee (9 shared papers)Linlin Yang (1 shared paper)Angela Yao (1 shared paper)Haojie Wang (1 shared paper)Monique Bernier (1 shared paper)Lingxiao Wang (1 shared paper)Kolja Kühnlenz (1 shared paper)Wei Wang (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)Neural Processing Letters (1 paper)mediaTUM (Technical University of Munich) (1 paper)elib (German Aerospace Center) (5 papers)
In The Last Decade
Shile Li
14 papers receiving 386 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 336
- Human-Computer Interaction 86
- Geology 73
- Aerospace Engineering 243
- Control and Systems Engineering 88
Countries citing papers authored by Shile Li
This map shows the geographic impact of Shile 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 Shile Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shile Li more than expected).
Fields of papers citing papers by Shile Li
This network shows the impact of papers produced by Shile 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 Shile Li. The network helps show where Shile Li may publish in the future.
Co-authors
The 18 scholars most cited alongside Shile 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 212 | |
| 2 | 2019 | 58 | |
| 3 | 2019 | 58 | |
| 4 | 2016 | 22 | |
| 5 | 2015 | 12 | |
| 6 | 2020 | 7 | |
| 7 | 2013 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 |
About Shile Li
Shile Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Human-Computer Interaction and Computational Mechanics, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (6 papers), Robot Manipulation and Learning (6 papers), Human Pose and Action Recognition (5 papers), Hand Gesture Recognition Systems (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers) and Soil Moisture and Remote Sensing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Human-Computer Interaction (86 citations), Geology (73 citations), Aerospace Engineering (243 citations) and Control and Systems Engineering (88 citations). Shile Li has collaborated with scholars based in Germany, Spain and China. Frequent co-authors include Dongheui Lee, Linlin Yang, Angela Yao, Haojie Wang, Monique Bernier, Lingxiao Wang, Kolja Kühnlenz, Wei Wang, Lili Chen and Ralf Ludwig. Their work appears in journals such as IEEE Robotics and Automation Letters, International Journal of Applied Earth Observation and Geoinformation, Neural Processing Letters, mediaTUM (Technical University of Munich) and elib (German Aerospace Center).
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.