Li Xiong
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- stochastic dynamics and bifurcation 17
- Chaos control and synchronization 17
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- Chaos-based Image/Signal Encryption 17
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- Nonlinear Dynamics and Pattern Formation 6
- Neural Networks Stability and Synchronization 5
- Mathematical Physics top 10%
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 11
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- Advanced Memory and Neural Computing 12
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- Fractal and DNA sequence analysis 5
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Nonlinear Dynamics (6 papers)International Journal of Bifurcation and Chaos (4 papers)Chaos Solitons & Fractals (3 papers)
- Partner nations
- ChinaItalyUnited Kingdom
In The Last Decade
Li Xiong
47 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 598
- Computer Vision and Pattern Recognition 544
- Computer Networks and Communications 264
- Mathematical Physics 77
- Cognitive Neuroscience 150
Countries citing papers authored by Li Xiong
This map shows the geographic impact of Li Xiong'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 Li Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Xiong more than expected).
Fields of papers citing papers by Li Xiong
This network shows the impact of papers produced by Li Xiong. 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 Li Xiong. The network helps show where Li Xiong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Xiong, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 21 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 43 | |
| 10 | 2022 | 63 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 36 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 9 | |
| 17 | 2016 | 31 | |
| 18 | Research on Collision Risk of Vertical Separation Minima Based on EVENT Model | 2008 | 2 |
| 19 | Analysis on transmission channel situation of power relay protection signal in Henan | 2008 | 0 |
| 20 | Study on realization of coordination based on enterprise's reality | 2007 | 1 |
About Li Xiong
Li Xiong is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (17 papers), Chaos-based Image/Signal Encryption (17 papers), Chaos control and synchronization (17 papers), Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (11 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Fractal and DNA sequence analysis (5 papers) and Neural Networks Stability and Synchronization (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (598 citations), Computer Vision and Pattern Recognition (544 citations) and Computer Networks and Communications (264 citations). Li Xiong has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Jun Mou, Yinghong Cao, Santo Banerjee, Huizhen Yan, Xinguo Zhang, Yuwen Sha, Xinyu Gao, Feifei Yang, Xinlei An and Xintong Han. Their work appears in journals such as Nonlinear Dynamics, International Journal of Bifurcation and Chaos, Chaos Solitons & Fractals, Complexity and IEEE Transactions on Vehicular Technology.
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.