Shaobo He
Impact in
- Statistical and Nonlinear Physics top 0.05%
- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Quantum chaos and dynamical systems
- Modeling and Simulation top 0.2%
Papers in
-
- Chaos control and synchronization 106
- stochastic dynamics and bifurcation 58
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- Nonlinear Dynamics and Pattern Formation 39
- Neural Networks Stability and Synchronization 35
- Co-authors
- Kehui Sun (48 shared papers)Kehui Sun (38 shared papers)Yuexi Peng (25 shared papers)Huihai Wang (44 shared papers)Santo Banerjee (15 shared papers)Congxu Zhu (2 shared papers)Chunbiao Li (5 shared papers)Hadi Jahanshahi (5 shared papers)
In The Last Decade
Shaobo He
172 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Statistical and Nonlinear Physics 3.6k
- Modeling and Simulation 920
- Computer Vision and Pattern Recognition 1.6k
- Computer Networks and Communications 1.5k
- Cognitive Neuroscience 812
Countries citing papers authored by Shaobo He
This map shows the geographic impact of Shaobo He'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 Shaobo He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobo He more than expected).
Fields of papers citing papers by Shaobo He
This network shows the impact of papers produced by Shaobo He. 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 Shaobo He. The network helps show where Shaobo He may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaobo He, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SEIR modeling of the COVID-19 and its dynamics Hit paper breakdown → | 2020 | 443 |
| 2 | 2015 | 195 | |
| 3 | 2020 | 177 | |
| 4 | 2020 | 174 | |
| 5 | 2020 | 145 | |
| 6 | 2020 | 122 | |
| 7 | 2019 | 111 | |
| 8 | 2019 | 109 | |
| 9 | 2018 | 102 | |
| 10 | 2021 | 95 | |
| 11 | 2017 | 90 | |
| 12 | 2017 | 87 | |
| 13 | 2020 | 86 | |
| 14 | 2017 | 79 | |
| 15 | 2017 | 79 | |
| 16 | 2016 | 76 | |
| 17 | 2018 | 70 | |
| 18 | 2022 | 70 | |
| 19 | 2017 | 61 | |
| 20 | 2022 | 60 |
About Shaobo He
Shaobo He is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 180 papers that have together received 5.5k indexed citations. Recurring topics across this work include Chaos control and synchronization (106 papers), stochastic dynamics and bifurcation (58 papers), Nonlinear Dynamics and Pattern Formation (39 papers), Advanced Memory and Neural Computing (39 papers), Chaos-based Image/Signal Encryption (39 papers), Neural Networks Stability and Synchronization (35 papers), Fractional Differential Equations Solutions (28 papers) and Neural dynamics and brain function (28 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.6k citations), Modeling and Simulation (920 citations), Computer Vision and Pattern Recognition (1.6k citations), Computer Networks and Communications (1.5k citations) and Cognitive Neuroscience (812 citations). Shaobo He has collaborated with scholars based in China, India and Iran. Frequent co-authors include Kehui Sun, Kehui Sun, Yuexi Peng, Huihai Wang, Santo Banerjee, Congxu Zhu, Chunbiao Li, Hadi Jahanshahi, Amin Yousefpour and Xiaoping Wang. Their work appears in journals such as The European Physical Journal Special Topics, Nonlinear Dynamics, Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.