Yongxin Li

800 total citations
37 papers, 622 citations indexed

About

Yongxin Li is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yongxin Li has authored 37 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistical and Nonlinear Physics, 15 papers in Electrical and Electronic Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yongxin Li's work include Chaos control and synchronization (22 papers), Advanced Memory and Neural Computing (14 papers) and stochastic dynamics and bifurcation (11 papers). Yongxin Li is often cited by papers focused on Chaos control and synchronization (22 papers), Advanced Memory and Neural Computing (14 papers) and stochastic dynamics and bifurcation (11 papers). Yongxin Li collaborates with scholars based in China, Hong Kong and Singapore. Yongxin Li's co-authors include Chunbiao Li, Tengfei Lei, Guanrong Chen, Sen Zhang, Zhigang Zeng, Yibo Zhao, Sicong Liu, Daorong Lu, Sicong Liu and Xiaoping Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Optics Letters and IEEE Internet of Things Journal.

In The Last Decade

Yongxin Li

35 papers receiving 591 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yongxin Li China	14	416	284	196	176	152	37	622
Li Cui China	10	353 0.8×	212 0.7×	227 1.2×	106 0.6×	130 0.9×	21	594
Qiuzhen Wan China	16	506 1.2×	423 1.5×	273 1.4×	140 0.8×	186 1.2×	41	880
Paul Didier Kamdem Kuate Cameroon	12	724 1.7×	288 1.0×	259 1.3×	155 0.9×	128 0.8×	23	888
Zhiqiang Wan China	6	438 1.1×	209 0.7×	141 0.7×	104 0.6×	85 0.6×	12	552
Wesley Thio United States	10	554 1.3×	201 0.7×	125 0.6×	115 0.7×	92 0.6×	20	675
Balamurali Ramakrishnan Cameroon	16	559 1.3×	243 0.9×	93 0.5×	304 1.7×	133 0.9×	65	790
Peipei Jin China	7	520 1.3×	377 1.3×	79 0.4×	155 0.9×	68 0.4×	9	657
Kexin Li China	6	336 0.8×	220 0.8×	66 0.3×	217 1.2×	60 0.4×	12	450
Léandre Kamdjeu Kengne Cameroon	15	560 1.3×	159 0.6×	122 0.6×	102 0.6×	68 0.4×	34	635

Countries citing papers authored by Yongxin Li

Since Specialization

Citations

This map shows the geographic impact of Yongxin Li'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 Yongxin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongxin Li more than expected).

Fields of papers citing papers by Yongxin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongxin Li. 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 Yongxin Li. The network helps show where Yongxin Li may publish in the future.

Co-authorship network of co-authors of Yongxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yongxin Li. A scholar is included among the top collaborators of Yongxin Li 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 Yongxin Li. Yongxin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zheng, Yuanjin, et al.. (2025). Tri-Memristor Hyperchaotic Ring Neural Network With Hidden Firings: Dynamic Analysis, Hardware Implementation and Application to Image Encryption. IEEE Internet of Things Journal. 1–1. 1 indexed citations

Li, Yongxin, et al.. (2025). A Novel Memristor Regulation Method for Chaos Enhancement in Unidirectional Ring Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 72(10). 5938–5946. 8 indexed citations

Li, Yongxin, et al.. (2024). Coexisting hollow chaotic attractors within a steep parameter interval. Chaos Solitons & Fractals. 179. 114406–114406. 17 indexed citations

Li, Yongxin, et al.. (2024). A Universal Discrete Memristor With Application to Multi-Attractor Generation. IEEE Transactions on Circuits and Systems I Regular Papers. 71(8). 3764–3774. 12 indexed citations

Li, Yongxin, et al.. (2024). Various Dynamics of Amplitude Regulation Within a Class of 3D Rulkov Neurons. IEEE Transactions on Circuits and Systems I Regular Papers. 72(1). 291–299. 3 indexed citations

Li, Chunbiao, et al.. (2024). Further study on the Rulkov neuron: geometric control, circuit realization and chaos-based encryption. Physica Scripta. 99(7). 75204–75204. 2 indexed citations

Li, Yongxin, et al.. (2024). Offset Boosting-Oriented Construction of Multi-Scroll Attractor via a Memristor Model. IEEE Transactions on Circuits and Systems I Regular Papers. 72(2). 918–931. 17 indexed citations

Li, Yongxin, et al.. (2024). Initial Offset-Boosted Coexisting Hidden Chaos and Firing Multistability in Memristive Ring Neural Network With Hardware Implementation. IEEE Transactions on Industrial Electronics. 72(2). 2024–2033. 19 indexed citations

Li, Chunbiao, et al.. (2024). Constructing conditional symmetry in a chaotic map. Nonlinear Dynamics. 113(4). 3857–3868. 11 indexed citations

10.

Zhang, Sen, Yongxin Li, Daorong Lu, & Chunbiao Li. (2024). A novel memristive synapse-coupled ring neural network with countless attractors and its application. Chaos Solitons & Fractals. 184. 115056–115056. 38 indexed citations

11.

Li, Chunbiao, et al.. (2024). Dynamic symmetrization in a memristive HR neuron. Electronics Letters. 60(7). 1 indexed citations

12.

Li, Yongxin, et al.. (2024). Attractor Merging and Amplitude Control of Hyperchaos in a Self-Reproducing Memristive Map. International Journal of Bifurcation and Chaos. 34(4). 8 indexed citations

13.

Li, Yongxin, et al.. (2024). A memristive chaotic map with only one bifurcation parameter. Nonlinear Dynamics. 112(5). 3869–3886. 36 indexed citations

14.

Li, Chunbiao, et al.. (2023). When a Neuron and its Self-Cascade System Coupled by a Memristor Synapse. 1–6. 1 indexed citations

15.

Li, Yongxin, et al.. (2023). Offset Boosting-Entangled Complex Dynamics in the Memristive Rulkov Neuron. IEEE Transactions on Industrial Electronics. 71(8). 9569–9579. 63 indexed citations

16.

Li, Chunbiao, et al.. (2023). Multiple Alternatives of Offset Boosting in a Symmetric Hyperchaotic Map. Symmetry. 15(3). 712–712. 10 indexed citations

17.

Li, Chunbiao, et al.. (2023). A hyperchaotic map with distance-increasing pairs of coexisting attractors and its application in the pelican optimization algorithm. Chaos Solitons & Fractals. 173. 113636–113636. 12 indexed citations

18.

Liu, Sicong, et al.. (2022). A novel hyperchaotic map and its application in fast video encryption. Physica Scripta. 97(8). 85210–85210. 10 indexed citations

19.

Liu, Sicong, Chunbiao Li, Zhenyu Lu, Yongxin Li, & Qiang Lai. (2022). A memristive RBF neural network and its application in unsupervised medical image segmentation. The European Physical Journal Special Topics. 231(5). 1005–1014. 5 indexed citations

20.

Wang, Zhen, et al.. (2011). Heteoclinic orbit and backstepping control of a 3D chaotic system. Acta Physica Sinica. 60(1). 10513–10513. 7 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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