Peipei Jin
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Quantum chaos and dynamical systems
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Advanced Memory and Neural Computing 8
- CCD and CMOS Imaging Sensors 1
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- stochastic dynamics and bifurcation 5
- Chaos control and synchronization 3
- Co-authors
- Mo Chen (2 shared papers)Bocheng Bao (2 shared papers)Han Bao (2 shared papers)Guangyi Wang (5 shared papers)Guangyi Wang (3 shared papers)Ning Wang (1 shared paper)Tao Jiang (1 shared paper)Tyrone Fernando (1 shared paper)
In The Last Decade
Peipei Jin
9 papers receiving 641 citations
Peipei Jin's Hit Papers
Peers
Comparison fields: 5 of 35
- Statistical and Nonlinear Physics 520
- Computer Networks and Communications 283
- Cognitive Neuroscience 155
- Electrical and Electronic Engineering 378
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Peipei Jin
This map shows the geographic impact of Peipei Jin'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 Peipei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Jin more than expected).
Fields of papers citing papers by Peipei Jin
This network shows the impact of papers produced by Peipei Jin. 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 Peipei Jin. The network helps show where Peipei Jin may publish in the future.
Co-authors
The 15 scholars most cited alongside Peipei Jin, 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 | Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria Hit paper breakdown → | 2017 | 249 |
| 2 | 2017 | 223 | |
| 3 | 2017 | 71 | |
| 4 | 2021 | 40 | |
| 5 | 2016 | 34 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 8 | |
| 8 | 2025 | 4 | |
| 9 | 2015 | 2 |
About Peipei Jin
Peipei Jin is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications and Artificial Intelligence, having authored 9 papers that have together received 660 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), stochastic dynamics and bifurcation (5 papers), Neural dynamics and brain function (4 papers), Chaos control and synchronization (3 papers), Neural Networks Stability and Synchronization (3 papers), Neural Networks and Reservoir Computing (2 papers), Neuroscience and Neural Engineering (1 paper) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (520 citations), Computer Networks and Communications (283 citations), Cognitive Neuroscience (155 citations), Electrical and Electronic Engineering (378 citations) and Computer Vision and Pattern Recognition (79 citations). Peipei Jin has collaborated with scholars based in China and Australia. Frequent co-authors include Mo Chen, Bocheng Bao, Han Bao, Guangyi Wang, Guangyi Wang, Ning Wang, Tao Jiang, Tyrone Fernando, Herbert Ho‐Ching Iu and Yan Liang. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, IEEE Transactions on Circuits & Systems II Express Briefs, Communications in Nonlinear Science and Numerical Simulation and Chinese Physics B.
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.