Gun Li
Impact in
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- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
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- Video Surveillance and Tracking Methods
Papers in
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- Video Surveillance and Tracking Methods 6
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- Inertial Sensor and Navigation 3
- Co-authors
- Xinyu Zhang (4 shared papers)Junning Liu (2 shared papers)Yong Li (2 shared papers)Zebo Zhou (2 shared papers)Kaiyu Qin (5 shared papers)Weihao Li (2 shared papers)Mengji Shi (1 shared paper)Hui Li (2 shared papers)
- Journals
- Cognitive Computation (7 papers)Multimedia Tools and Applications (2 papers)IEEE Transactions on Aerospace and Electronic Systems (2 papers)Drones (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gun Li
33 papers receiving 259 citations
Peers
Comparison fields: 5 of 50
- Aerospace Engineering 86
- Computer Vision and Pattern Recognition 67
- Computer Networks and Communications 74
- Control and Systems Engineering 66
- Computational Mathematics 1
Countries citing papers authored by Gun Li
This map shows the geographic impact of Gun 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 Gun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gun Li more than expected).
Fields of papers citing papers by Gun Li
This network shows the impact of papers produced by Gun 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 Gun Li. The network helps show where Gun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gun 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 56 | |
| 2 | 2022 | 51 | |
| 3 | 2023 | 20 | |
| 4 | 2021 | 12 | |
| 5 | 2016 | 10 | |
| 6 | 2020 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2008 | 8 | |
| 12 | 2014 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About Gun Li
Gun Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 41 papers that have together received 266 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Adaptive Control of Nonlinear Systems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Advanced Frequency and Time Standards (4 papers), Advanced Control Systems Optimization (3 papers), Image Processing Techniques and Applications (3 papers), Neural Networks Stability and Synchronization (3 papers) and Inertial Sensor and Navigation (3 papers). The work is most often cited by research in Aerospace Engineering (86 citations), Computer Vision and Pattern Recognition (67 citations), Computer Networks and Communications (74 citations), Control and Systems Engineering (66 citations) and Computational Mathematics (1 citation). Gun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xinyu Zhang, Junning Liu, Yong Li, Zebo Zhou, Kaiyu Qin, Weihao Li, Mengji Shi, Hui Li, Hou‐Biao Li and Peng Ren. Their work appears in journals such as Cognitive Computation, Multimedia Tools and Applications, IEEE Transactions on Aerospace and Electronic Systems, Drones and Sensors.
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.