World's Best Scientists 2026 revealed!
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
47
Citations
7096
World Ranking
401
National Ranking
138

Electronics and Electrical Engineering

D-Index
50
Citations
7948
World Ranking
2858
National Ranking
474

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Mo Chen is affiliated with Changzhou University in China and primarily works in the fields of Engineering, Physics and Astronomy, and Computer Science. Their research encompasses multiple subfields, including Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, and Artificial Intelligence.

The main research topics associated with Mo Chen's work include:

  • Stochastic dynamics and bifurcation
  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Chaos control and synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Neural Networks Stability and Synchronization
  • Quantum Information and Cryptography

Mo Chen has contributed to research published in notable venues, with frequent publications in:

  • Chaos Solitons & Fractals
  • Nonlinear Dynamics
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Industrial Electronics

Among their recent papers are the following:

  • Towards practical quantum computers: transmon qubit with a lifetime approaching 0.5 milliseconds, 2022, npj Quantum Information
  • Two-Dimensional Memristive Hyperchaotic Maps and Application in Secure Communication, 2020, IEEE Transactions on Industrial Electronics
  • Discrete Memristor Hyperchaotic Maps, 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • Initials-Boosted Coexisting Chaos in a 2-D Sine Map and Its Hardware Implementation, 2020, IEEE Transactions on Industrial Informatics
  • Offset-Control Plane Coexisting Behaviors in Two-Memristor-Based Hopfield Neural Network, 2022, IEEE Transactions on Industrial Electronics

Mo Chen frequently collaborates with a group of coauthors who have contributed to many joint publications. The most frequent coauthors include:

  • Quan Xu
  • Bocheng Bao
  • Han Bao
  • Huagan Wu
  • Ning Wang

The breadth of Mo Chen's work indicates a strong engagement with nonlinear and quantum dynamics, as well as neural computing and secure communication systems. Their contributions span both theoretical foundations and practical implementations in electrical engineering and physics-related domains.

Best Publications

  • Hidden extreme multistability in memristive hyperchaotic system

    B.C. Bao;H. Bao;N. Wang;M. Chen

  • Multiple attractors in a non-ideal active voltage-controlled memristor based Chua's circuit

    Quan Xu;Yi Lin;Bocheng Bao;Mo Chen

  • Initial condition-dependent dynamics and transient period in memristor-based hypogenetic jerk system with four line equilibria

    Han Bao;Ning Wang;Bocheng Bao;Mo Chen

  • Two-memristor-based Chua’s hyperchaotic circuit with plane equilibrium and its extreme multistability

    Bocheng Bao;Tao Jiang;Guangyi Wang;Peipei Jin

  • Two-Dimensional Memristive Hyperchaotic Maps and Application in Secure Communication

    Houzhen Li;Zhongyun Hua;Han Bao;Lei Zhu

  • Coexisting multi-stable patterns in memristor synapse-coupled Hopfield neural network with two neurons

    Chengjie Chen;Jingqi Chen;Han Bao;Mo Chen

  • Flux–Charge Analysis of Two-Memristor-Based Chua' s Circuit: Dimensionality Decreasing Model for Detecting Extreme Multistability

    Mo Chen;Mengxia Sun;Han Bao;Yihua Hu

  • Coexisting infinitely many attractors in active band-pass filter-based memristive circuit

    Bocheng Bao;Tao Jiang;Quan Xu;Mo Chen

  • Extreme multistability in a memristive circuit

    Bo-Cheng Bao;Quan Xu;Han Bao;Mo Chen

  • Discrete Memristor Hyperchaotic Maps

    Han Bao;Zhongyun Hua;Houzhen Li;Mo Chen

  • Dynamics of self-excited attractors and hidden attractors in generalized memristor-based Chua’s circuit

    Mo Chen;Mengyuan Li;Qing Yu;Bocheng Bao

  • Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network.

    Bocheng Bao;Hui Qian;Quan Xu;Mo Chen

  • Generating Multi-Scroll Chua’s Attractors via Simplified Piecewise-Linear Chua’s Diode

    Ning Wang;Chengqing Li;Han Bao;Mo Chen

  • Initials-Boosted Coexisting Chaos in a 2-D Sine Map and Its Hardware Implementation

    Han Bao;Zhongyun Hua;Ning Wang;Lei Zhu

  • Hidden extreme multistability and dimensionality reduction analysis for an improved non-autonomous memristive FitzHugh–Nagumo circuit

    Han Bao;Wenbo Liu;Mo Chen

  • Memristor-Based Hyperchaotic Maps and Application in AC-GANs

    Han Bao;Zhongyun Hua;Houzhen Li;Mo Chen

  • Controlling extreme multistability of memristor emulator-based dynamical circuit in flux–charge domain

    Mo Chen;Mengxia Sun;Bocheng Bao;Huagan Wu

  • Memristor initial-boosted coexisting plane bifurcations and its extreme multi-stability reconstitution in two-memristor-based dynamical system

    Han Bao;Mo Chen;HuaGan Wu;BoCheng Bao

  • Numerical analyses and experimental validations of coexisting multiple attractors in Hopfield neural network

    Bocheng Bao;Hui Qian;Jiang Wang;Quan Xu

  • Hyperchaos in a second-order discrete memristor-based map model

    Bo-Cheng Bao;Houzhen Li;Huagan Wu;Xi Zhang

  • Memristor initial boosting behaviors in a two-memristor-based hyperchaotic system

    H.G. Wu;Y. Ye;B.C. Bao;M. Chen

Frequent Co-Authors

Bocheng Bao
Bocheng Bao Changzhou University
Yihua Hu
Yihua Hu University of York
Zhongyun Hua
Zhongyun Hua Harbin Institute of Technology
YangQuan Chen
YangQuan Chen University of California, Merced

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