Yuexi Peng
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering top 10%
- Modeling and Simulation top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Shaobo HeKehui SunZhijun LiMengjiao WangLin WangMinglin MaYang YangYichuang Sun
- Topics
- Chaos control and synchronization (21 papers)Chaos-based Image/Signal Encryption (15 papers)Advanced Memory and Neural Computing (12 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
In The Last Decade
Yuexi Peng
38 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Statistical and Nonlinear Physics 919
- Electrical and Electronic Engineering 564
- Modeling and Simulation 452
- Computer Vision and Pattern Recognition 411
- Computer Networks and Communications 360
Countries citing papers authored by Yuexi Peng
This map shows the geographic impact of Yuexi Peng'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 Yuexi Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuexi Peng more than expected).
Fields of papers citing papers by Yuexi Peng
This network shows the impact of papers produced by Yuexi Peng. 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 Yuexi Peng. The network helps show where Yuexi Peng may publish in the future.
Co-authorship network of co-authors of Yuexi Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuexi Peng. A scholar is included among the top collaborators of Yuexi Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuexi Peng. Yuexi Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 0 | |
| 6 | 38 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 44 | |
| 12 | 32 | |
| 13 | 123 | |
| 14 | SEIR modeling of the COVID-19 and its dynamicsbreakdown → | 443 |
| 15 | 174 | |
| 16 | 122 | |
| 17 | 46 | |
| 18 | 15 | |
| 19 | 40 | |
| 20 | 40 |
About Yuexi Peng
Yuexi Peng is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chaos control and synchronization (21 papers), Chaos-based Image/Signal Encryption (15 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Modeling and Simulation (452 citations), Statistical and Nonlinear Physics (919 citations) and Computer Vision and Pattern Recognition (411 citations). Yuexi Peng has collaborated with scholars based in China, Qatar and India. Frequent co-authors include Shaobo He, Kehui Sun, Kehui Sun, Zhijun Li, Mengjiao Wang, Lin Wang, Minglin Ma, Yang Yang, Yichuang Sun and Huihai Wang. Their work appears in journals such as Expert Systems with Applications, Physics Letters A and IEEE Transactions on Industrial Informatics.
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.