Jun Ning
Impact in
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- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Ocean Engineering top 5%
- Maritime Navigation and Safety
- Underwater Vehicles and Communication Systems
Papers in
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- Adaptive Control of Nonlinear Systems 27
- Stability and Control of Uncertain Systems 11
- Fault Detection and Control Systems 4
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- Distributed Control Multi-Agent Systems 16
- Co-authors
- Tieshan Li (17 shared papers)C. L. Philip Chen (7 shared papers)Chunze Li (2 shared papers)Shaocheng Tong (4 shared papers)Lu Liu (3 shared papers)Yue Wu (4 shared papers)Wei Li (1 shared paper)Yue Long (1 shared paper)
In The Last Decade
Jun Ning
31 papers receiving 258 citations
Peers
Comparison fields: 5 of 32
- Control and Systems Engineering 159
- Ocean Engineering 106
- Transportation 22
- Computer Networks and Communications 72
- Industrial and Manufacturing Engineering 17
Countries citing papers authored by Jun Ning
This map shows the geographic impact of Jun Ning'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 Jun Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ning more than expected).
Fields of papers citing papers by Jun Ning
This network shows the impact of papers produced by Jun Ning. 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 Jun Ning. The network helps show where Jun Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ning, 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 | 2020 | 42 | |
| 2 | 2023 | 37 | |
| 3 | 2022 | 35 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2025 | 11 | |
| 9 | 2025 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2018 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Jun Ning
Jun Ning is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Ocean Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 262 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (27 papers), Distributed Control Multi-Agent Systems (16 papers), Stability and Control of Uncertain Systems (11 papers), Maritime Navigation and Safety (8 papers), Underwater Vehicles and Communication Systems (6 papers), Fault Detection and Control Systems (4 papers), Guidance and Control Systems (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Control and Systems Engineering (159 citations), Ocean Engineering (106 citations), Transportation (22 citations), Computer Networks and Communications (72 citations) and Industrial and Manufacturing Engineering (17 citations). Jun Ning has collaborated with scholars based in China, Vietnam and Macao. Frequent co-authors include Tieshan Li, C. L. Philip Chen, Chunze Li, Shaocheng Tong, Lu Liu, Yue Wu, Wei Li, Yue Long, Zhi-Xin Yang and Yang Wang. Their work appears in journals such as Ocean Engineering, International Journal of Robust and Nonlinear Control, International Journal of Fuzzy Systems, IEEE Access and International Journal of Adaptive Control and Signal Processing.
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.