Yuexi Peng

2.3k total citations · 1 hit paper
41 papers, 1.7k citations indexed

About

Yuexi Peng is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yuexi Peng has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Yuexi Peng's work include Chaos control and synchronization (21 papers), Chaos-based Image/Signal Encryption (15 papers) and Advanced Memory and Neural Computing (12 papers). Yuexi Peng is often cited by papers focused on Chaos control and synchronization (21 papers), Chaos-based Image/Signal Encryption (15 papers) and Advanced Memory and Neural Computing (12 papers). Yuexi Peng collaborates with scholars based in China, Qatar and India. Yuexi Peng's co-authors include Shaobo He, Kehui Sun, Kehui Sun, Zhijun Li, Mengjiao Wang, Lin Wang, Minglin Ma, Yang Yang, Yichuang Sun and Huihai Wang and has published in prestigious journals such as Expert Systems with Applications, Physics Letters A and IEEE Transactions on Industrial Informatics.

In The Last Decade

Yuexi Peng

38 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SEIR modeling of the COVID-19 and its dynamics

2020 443 citations Shaobo He, Yuexi Peng et al. Nonlinear Dynamics profile →

Peers

Yuexi Peng

SNP

EEE

MS

CVPR

CNC

Kehui Sun China

Anitha Karthikeyan Ethiopia

Jesús M. Muñoz‐Pacheco Mexico

Guoyuan Qi China

Amin Yousefpour Iran

Viet–Thanh Pham Vietnam

Adel Ouannas Algeria

Giuseppe Grassi Italy

Chris G. Antonopoulos United Kingdom

Jun-an Lu China

Kehui Sun China

Yuexi Peng

1.5k ×1.6

SNP

564 ×1.0

EEE

509 ×1.1

MS

1.4k ×3.4

CVPR

486 ×1.4

CNC

Citations per year, relative to Yuexi Peng Yuexi Peng (= 1×) peers Kehui Sun

Countries citing papers authored by Yuexi Peng

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Peng, Yuexi, et al.. (2025). A fractional-order JAYA algorithm with memory effect for solving global optimization problem. Expert Systems with Applications. 270. 126539–126539. 4 indexed citations

2.

Peng, Yuexi, Zhiyong Huang, Zhijun Li, Shaobo He, & Juan Zou. (2025). An Effective Visually Meaningful Image Encryption Based on Compressive Sensing and Multiobjective Optimization Algorithm. IEEE Internet of Things Journal. 13(3). 4076–4087.

3.

He, Shaobo, et al.. (2025). Discrete memristive spiking neural networks: investigating information flow, synchronization, and emergent intelligence. Cognitive Neurodynamics. 20(1). 12–12. 1 indexed citations

4.

Peng, Yuexi, Maolin Li, Zhijun Li, et al.. (2025). What is the impact of discrete memristor on the performance of neural network: A research on discrete memristor-based BP neural network. Neural Networks. 185. 107213–107213. 19 indexed citations

5.

Peng, Yuexi, Zhiyong Huang, Zhijun Li, & Shaobo He. (2025). SA-TPE: An ideal thumbnail-preserving encryption method based on selective area. Expert Systems with Applications. 278. 127275–127275.

6.

Li, Zhijun, et al.. (2024). A hidden grid multi-scroll chaotic system coined with two multi-stable memristors. Chaos Solitons & Fractals. 185. 115109–115109. 38 indexed citations

7.

Rajagopal, Karthikeyan, et al.. (2024). Effect of Gaussian gradient in the medium's action potential morphology on spiral waves. Applied Mathematics and Computation. 470. 128590–128590. 3 indexed citations

8.

Li, Haodong, Chunlai Li, Fuhong Min, Shaobo He, & Yuexi Peng. (2024). Unified multi-cavity hyperchaotic map based on open-loop coupling. Nonlinear Dynamics. 112(6). 4929–4950. 7 indexed citations

9.

Lü, Jiaguo & Yuexi Peng. (2024). Martingale Orlicz-Hardy spaces for continuous-time. Acta Mathematica Academiae Scientiarum Hungaricae. 172(2). 359–377.

10.

Zhang, Yan, et al.. (2024). Hybrid diffusion-based visual image encryption for secure cloud storage. Nonlinear Dynamics. 113(7). 7259–7276. 3 indexed citations

11.

Peng, Yuexi, et al.. (2023). A simple color image encryption algorithm based on a discrete memristive hyperchaotic map and time-controllable operation. Optics & Laser Technology. 165. 109543–109543. 44 indexed citations

12.

Peng, Yuexi, et al.. (2023). Discrete fracmemristor-based chaotic map by Grunwald–Letnikov difference and its circuit implementation. Chaos Solitons & Fractals. 171. 113429–113429. 32 indexed citations

13.

Ma, Minglin, Yang Yang, Yuexi Peng, et al.. (2022). A locally active discrete memristor model and its application in a hyperchaotic map. Nonlinear Dynamics. 107(3). 2935–2949. 123 indexed citations

14.

He, Shaobo, Yuexi Peng, & Kehui Sun. (2020). SEIR modeling of the COVID-19 and its dynamics. Nonlinear Dynamics. 101(3). 1667–1680. 443 indexed citations breakdown →

15.

Peng, Yuexi, Kehui Sun, & Shaobo He. (2020). A discrete memristor model and its application in Hénon map. Chaos Solitons & Fractals. 137. 109873–109873. 174 indexed citations

16.

Peng, Yuexi, Shaobo He, & Kehui Sun. (2020). A higher dimensional chaotic map with discrete memristor. AEU - International Journal of Electronics and Communications. 129. 153539–153539. 122 indexed citations

17.

Peng, Yuexi, et al.. (2019). Parameter Identification of Fractional-Order Discrete Chaotic Systems. Entropy. 21(1). 27–27. 46 indexed citations

18.

Peng, Yuexi, et al.. (2019). Comments on “Discrete fractional logistic map and its chaos” [Nonlinear Dyn. 75, 283–287 (2014)]. Nonlinear Dynamics. 97(1). 897–901. 15 indexed citations

19.

He, Shaobo, Kehui Sun, & Yuexi Peng. (2019). Detecting chaos in fractional-order nonlinear systems using the smaller alignment index. Physics Letters A. 383(19). 2267–2271. 40 indexed citations

20.

Wang, Lingyu, Kehui Sun, Yuexi Peng, & Shaobo He. (2019). Chaos and complexity in a fractional-order higher-dimensional multicavity chaotic map. Chaos Solitons & Fractals. 131. 109488–109488. 40 indexed citations

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.

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