Fei Yu

6.7k total citations · 15 hit papers
217 papers, 5.3k citations indexed

About

Fei Yu is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Fei Yu has authored 217 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Statistical and Nonlinear Physics, 81 papers in Electrical and Electronic Engineering and 57 papers in Computer Networks and Communications. Recurrent topics in Fei Yu's work include Chaos control and synchronization (68 papers), Chaos-based Image/Signal Encryption (45 papers) and Advanced Memory and Neural Computing (40 papers). Fei Yu is often cited by papers focused on Chaos control and synchronization (68 papers), Chaos-based Image/Signal Encryption (45 papers) and Advanced Memory and Neural Computing (40 papers). Fei Yu collaborates with scholars based in China, United Kingdom and Australia. Fei Yu's co-authors include Shuo Cai, Chunhua Wang, Hairong Lin, Yuanyuan Huang, Wei Yao, Hui Shen, Xinxin Kong, Sichun Du, Yichuang Sun and Jie Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and IEEE Transactions on Industrial Electronics.

In The Last Decade

Fei Yu

192 papers receiving 5.1k citations

Hit Papers

Brain-Like Initial-Boosted Hyperchaos and Application in ... 2022 2026 2023 2024 2022 2023 2022 2024 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Yu China 45 2.7k 1.8k 1.8k 1.3k 1.1k 217 5.3k
Qiang Lai China 40 2.8k 1.0× 1.1k 0.6× 1.8k 1.0× 1.5k 1.1× 742 0.7× 167 4.6k
Yichuang Sun United Kingdom 46 1.7k 0.6× 3.7k 2.0× 985 0.5× 1.3k 1.0× 855 0.8× 261 6.0k
Chunbiao Li China 47 5.4k 2.0× 1.7k 0.9× 1.4k 0.8× 2.9k 2.2× 869 0.8× 222 6.6k
Christos Volos Greece 46 5.0k 1.8× 1.1k 0.6× 1.7k 1.0× 2.9k 2.2× 753 0.7× 278 6.4k
Shuo Cai China 31 1.5k 0.6× 1.1k 0.6× 1.1k 0.6× 679 0.5× 647 0.6× 107 2.9k
Chunguang Li China 38 2.1k 0.8× 795 0.4× 1.1k 0.6× 2.7k 2.0× 1.3k 1.2× 201 6.2k
Sundarapandian Vaıdyanathan India 49 5.2k 1.9× 684 0.4× 1.4k 0.8× 3.4k 2.6× 708 0.6× 377 6.8k
Herbert Ho‐Ching Iu Australia 56 2.9k 1.1× 7.5k 4.1× 1.0k 0.6× 2.0k 1.5× 1.4k 1.3× 521 11.6k
Han Bao China 52 6.2k 2.3× 4.0k 2.2× 1.5k 0.8× 2.9k 2.2× 1.3k 1.2× 194 8.3k
Á. Rodríguez‐Vázquez Spain 36 644 0.2× 3.5k 1.9× 625 0.3× 1.3k 1.0× 1.2k 1.1× 450 5.2k

Countries citing papers authored by Fei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Yu

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

All Works

20 of 20 papers shown
1.
Yu, Fei, et al.. (2025). Bursting Firings in Memristive Hopfield Neural Network With Image Encryption and Hardware Implementation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(12). 4564–4576. 50 indexed citations breakdown →
3.
Wang, Wen, et al.. (2025). Deep Reinforcement Learning for Movable Antenna-Assisted Cell-Free Networks. IEEE Wireless Communications Letters. 14(9). 2783–2787. 1 indexed citations
5.
He, S., Fei Yu, R. P. Guo, et al.. (2025). Dynamic Analysis and FPGA Implementation of a Fractional-Order Memristive Hopfield Neural Network with Hidden Chaotic Dual-Wing Attractors. Fractal and Fractional. 9(9). 561–561. 10 indexed citations
6.
Hu, Qingwu, et al.. (2024). Deep learning based method for 3D reconstruction of underground pipes in 3D GPR C-scan data. Tunnelling and Underground Space Technology. 150. 105819–105819. 12 indexed citations
7.
Yu, Fei, et al.. (2024). Reconfigurable Intelligent Surface-Aided Security Enhancement for Vehicle-to-Vehicle Visible Light Communications. Photonics. 11(12). 1151–1151. 1 indexed citations
8.
Yao, Wei, et al.. (2024). A Hindmarsh–Rose neuron model with electromagnetic radiation control for the mechanical optimization design. Chaos Solitons & Fractals. 187. 115408–115408. 15 indexed citations
9.
Yu, Fei, Shuai Xu, Wei Yao, et al.. (2024). Dynamic analysis and FPGA implementation of a 5D multi-wing fractional-order memristive chaotic system with hidden attractors. Integration. 96. 102129–102129. 22 indexed citations
10.
Yu, Fei, et al.. (2024). Dynamic Analysis, Image Encryption Application and FPGA Implementation of a Discrete Memristor-Coupled Neural Network. International Journal of Bifurcation and Chaos. 34(6). 25 indexed citations
11.
Lin, Hairong, Xiaoheng Deng, Fei Yu, & Yichuang Sun. (2024). Diversified Butterfly Attractors of Memristive HNN With Two Memristive Systems and Application in IoMT for Privacy Protection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(1). 304–316. 56 indexed citations breakdown →
12.
Cai, Shuo, et al.. (2024). Low-Power and High-Speed SRAM Cells With Double-Node Upset Self-Recovery for Reliable Applications. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 33(2). 475–487. 1 indexed citations
13.
Yao, Wei, et al.. (2024). Electromagnetic radiation control for nonlinear dynamics of Hopfield neural networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7). 21 indexed citations
14.
Huang, Yuanyuan, et al.. (2024). Drive–response asymptotic shape synchronization for a class of two-dimensional chaotic systems and its application in image encryption. Physica D Nonlinear Phenomena. 463. 134162–134162. 7 indexed citations
15.
Yu, Fei, Wei Yao, Yuanyuan Huang, et al.. (2023). Dynamics analysis, FPGA realization and image encryption application of a 5D memristive exponential hyperchaotic system. Integration. 90. 58–70. 59 indexed citations
16.
Wang, Chunhua, et al.. (2023). High-dimensional memristive neural network and its application in commercial data encryption communication. Expert Systems with Applications. 242. 122513–122513. 109 indexed citations breakdown →
17.
Yu, Fei, Wuxiong Zhang, Wei Yao, et al.. (2023). Dynamic Analysis and FPGA Implementation of a New, Simple 5D Memristive Hyperchaotic Sprott-C System. Mathematics. 11(3). 701–701. 39 indexed citations
18.
Yu, Fei, et al.. (2020). Analysis of a New Hidden Attractor Coupled Chaotic System and Application of Its Weak Signal Detection. Mathematical Problems in Engineering. 2020. 1–15. 6 indexed citations
19.
Yu, Fei, et al.. (2019). Generalization and comparative studies of similarity measures for Just-in-Time modeling. IFAC-PapersOnLine. 52(1). 760–765. 3 indexed citations
20.
Zhou, Lili, Fei Tan, Fei Yu, & Wei Liu. (2019). Cluster synchronization of two-layer nonlinearly coupled multiplex networks with multi-links and time-delays. Neurocomputing. 359. 264–275. 79 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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