Kun She
Impact in
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
- IoT and Edge/Fog Computing
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- stochastic dynamics and bifurcation
Papers in
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- Neural Networks Stability and Synchronization 25
- Nonlinear Dynamics and Pattern Formation 10
- IoT and Edge/Fog Computing 8
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- Image and Signal Denoising Methods 8
- Co-authors
- Shouming Zhong (21 shared papers)Xin Wang (13 shared papers)Xinzhi Liu (7 shared papers)Yi Chen Zhong (1 shared paper)Shahzad Ali (2 shared papers)Jun Sheng Cheng (11 shared papers)Xin Wang (2 shared papers)Lin Shi (2 shared papers)
- Journals
- Neurocomputing (5 papers)Nonlinear Dynamics (4 papers)Nonlinear Analysis Hybrid Systems (3 papers)China Communications (2 papers)Neural Networks (2 papers)
- Partner nations
- ChinaCanadaSouth Korea
In The Last Decade
Kun She
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 715
- Statistical and Nonlinear Physics 263
- Control and Systems Engineering 204
- Information Systems 178
- Computer Vision and Pattern Recognition 163
Countries citing papers authored by Kun She
This map shows the geographic impact of Kun She'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 Kun She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun She more than expected).
Fields of papers citing papers by Kun She
This network shows the impact of papers produced by Kun She. 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 Kun She. The network helps show where Kun She may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun She, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 150 | |
| 2 | 2017 | 113 | |
| 3 | 2018 | 87 | |
| 4 | 2018 | 68 | |
| 5 | 2014 | 51 | |
| 6 | 2017 | 47 | |
| 7 | 2020 | 36 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 32 | |
| 10 | 2020 | 30 | |
| 11 | 2016 | 30 | |
| 12 | 2023 | 30 | |
| 13 | 2019 | 30 | |
| 14 | 2017 | 27 | |
| 15 | 2018 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2021 | 19 | |
| 18 | 2016 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2019 | 16 |
About Kun She
Kun She is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence and Media Technology, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (25 papers), Nonlinear Dynamics and Pattern Formation (10 papers), stochastic dynamics and bifurcation (9 papers), Image and Signal Denoising Methods (8 papers), IoT and Edge/Fog Computing (8 papers), Stability and Control of Uncertain Systems (8 papers), Quantum Information and Cryptography (8 papers) and Advanced Image Fusion Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (715 citations), Statistical and Nonlinear Physics (263 citations), Control and Systems Engineering (204 citations), Information Systems (178 citations) and Computer Vision and Pattern Recognition (163 citations). Kun She has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Shouming Zhong, Xin Wang, Xinzhi Liu, Yi Chen Zhong, Shahzad Ali, Jun Sheng Cheng, Xin Wang, Lin Shi, Kaibo Shi and Jinhua Liu. Their work appears in journals such as Neurocomputing, Nonlinear Dynamics, Nonlinear Analysis Hybrid Systems, China Communications and Neural Networks.
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.