Jun Mou
Impact in
- Statistical and Nonlinear Physics top 0.1%
- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Chaos control and synchronization 84
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- Chaos-based Image/Signal Encryption 90
- Advanced Steganography and Watermarking Techniques 7
- Co-authors
- Yinghong Cao (95 shared papers)Santo Banerjee (52 shared papers)Feifei Yang (19 shared papers)Huizhen Yan (19 shared papers)Chenguang Ma (14 shared papers)Yushu Zhang (19 shared papers)Li Xiong (10 shared papers)Hadi Jahanshahi (25 shared papers)
- Journals
- Chaos Solitons & Fractals (22 papers)Nonlinear Dynamics (21 papers)International Journal of Bifurcation and Chaos (10 papers)IEEE Internet of Things Journal (10 papers)IEEE Access (8 papers)
- Partner nations
- ChinaItalySaudi Arabia
In The Last Decade
Jun Mou
185 papers receiving 5.9k citations
Jun Mou's Hit Papers
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 2.5k
- Computer Vision and Pattern Recognition 3.2k
- Modeling and Simulation 172
- Computer Networks and Communications 455
- Electrical and Electronic Engineering 989
Countries citing papers authored by Jun Mou
This map shows the geographic impact of Jun Mou'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 Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mou more than expected).
Fields of papers citing papers by Jun Mou
This network shows the impact of papers produced by Jun Mou. 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 Mou. The network helps show where Jun Mou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mou, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A fast and efficient multiple images encryption based on single-channel encryption and chaotic system Hit paper breakdown → | 2022 | 253 |
| 2 | 2020 | 164 | |
| 3 | 2022 | 153 | |
| 4 | A New Hyperchaotic Map Based on Discrete Memristor and Meminductor: Dynamics Analysis, Encryption Application, and DSP Implementation Hit paper breakdown → | 2023 | 149 |
| 5 | A 3D Memristive Cubic Map With Dual Discrete Memristors: Design, Implementation, and Application in Image Encryption Hit paper breakdown → | 2025 | 149 |
| 6 | Color-Gray Multi-Image Hybrid Compression–Encryption Scheme Based on BP Neural Network and Knight Tour Hit paper breakdown → | 2023 | 146 |
| 7 | 2019 | 142 | |
| 8 | 2021 | 141 | |
| 9 | 2021 | 139 | |
| 10 | 2020 | 131 | |
| 11 | 2021 | 112 | |
| 12 | 2019 | 110 | |
| 13 | A Parallel Color Image Encryption Algorithm Based on a 2-D Logistic-Rulkov Neuron Map Hit paper breakdown → | 2025 | 103 |
| 14 | 2018 | 102 | |
| 15 | 2022 | 100 | |
| 16 | 2022 | 87 | |
| 17 | A discrete Chialvo–Rulkov neuron network coupled with a novel memristor model: Design, Dynamical analysis, DSP implementation and its application Hit paper breakdown → | 2024 | 85 |
| 18 | 2019 | 83 | |
| 19 | 2022 | 82 | |
| 20 | Encrypt a Story: A Video Segment Encryption Method Based on the Discrete Sinusoidal Memristive Rulkov Neuron Hit paper breakdown → | 2025 | 81 |
About Jun Mou
Jun Mou is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Mathematical Physics, having authored 208 papers that have together received 6k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (90 papers), Chaos control and synchronization (84 papers), Advanced Memory and Neural Computing (41 papers), Neural Networks Stability and Synchronization (16 papers), Advanced Steganography and Watermarking Techniques (7 papers), Mathematical Dynamics and Fractals (5 papers), Neural dynamics and brain function (4 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.5k citations), Computer Vision and Pattern Recognition (3.2k citations), Modeling and Simulation (172 citations), Computer Networks and Communications (455 citations) and Electrical and Electronic Engineering (989 citations). Jun Mou has collaborated with scholars based in China, Italy and Saudi Arabia. Frequent co-authors include Yinghong Cao, Santo Banerjee, Feifei Yang, Huizhen Yan, Chenguang Ma, Yushu Zhang, Li Xiong, Hadi Jahanshahi, Tianming Liu and Xinyu Gao. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, International Journal of Bifurcation and Chaos, IEEE Internet of Things Journal and IEEE Access.
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.