World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
25731
World Ranking
617
National Ranking
88

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Zhigang Zeng is affiliated with Huazhong University of Science and Technology in China. Their research spans multiple areas primarily within computer science and engineering, with a particular focus on neural networks, control systems, and nonlinear dynamics.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Zhigang Zeng has contributed extensively to the following subfields:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Statistical and Nonlinear Physics

The research topics covered in Zhigang Zeng's work often intersect with neural computing and system stability, including:

  • Neural Networks Stability and Synchronization
  • Advanced Memory and Neural Computing
  • Distributed Control Multi-Agent Systems
  • Stochastic Dynamics and Bifurcation
  • Neural Networks and Applications
  • Nonlinear Dynamics and Pattern Formation
  • Neural Dynamics and Brain Function

Frequent publication venues for Zhigang Zeng include:

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • arXiv (Cornell University)

Their notable recent papers include:

  • "Initial offset boosting coexisting attractors in memristive multi-double-scroll Hopfield neural network," 2020, Nonlinear Dynamics
  • "Adhesive and Hydrophobic Bilayer Hydrogel Enabled On-Skin Biosensors for High-Fidelity Classification of Human Emotion," 2022, Advanced Functional Materials
  • "A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability," 2021, Chaos Solitons & Fractals
  • "Generating Any Number of Initial Offset-Boosted Coexisting Chua's Double-Scroll Attractors via Piecewise-Nonlinear Memristor," 2021, IEEE Transactions on Industrial Electronics
  • "Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay," 2020, IEEE Transactions on Neural Networks and Learning Systems

Zhigang Zeng has collaborated frequently with several researchers, including:

  • Xiaoping Wang
  • Yuanzheng Li
  • Cheng Lian
  • Bingrong Xu
  • Tingwen Huang

The scientist has contributed to book publications by Springer Nature, including:

  • "Flexible Load Control for Enhancing Renewable Power System Operation," 2024
  • "Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch," 2023

Best Publications

  • Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks

    Jiejie Chen;Zhigang Zeng;Ping Jiang

  • Synchronization control of a class of memristor-based recurrent neural networks

    Ailong Wu;Shiping Wen;Zhigang Zeng

  • Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays

    Shiping Wen;Xinghuo Yu;Zhigang Zeng;Jinjian Wang

  • Global exponential stability of a general class of recurrent neural networks with time-varying delays

    Zhigang Zeng;Jun Wang;Xiaoxin Liao

  • Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption

    Shiping Wen;Zhigang Zeng;Tingwen Huang;Qinggang Meng

  • Exponential Stabilization of Memristive Neural Networks With Time Delays

    Ailong Wu;Zhigang Zeng

  • Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators

    Shiping Wen;Zhigang Zeng;Tingwen Huang;Yide Zhang

  • Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach

    Shiping Wen;Michael Z. Q. Chen;Zhigang Zeng;Xinghuo Yu

  • Global Mittag–Leffler Stabilization of Fractional-Order Memristive Neural Networks

    Ailong Wu;Zhigang Zeng

  • A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm

    Rui Hu;Shiping Wen;Zhigang Zeng;Tingwen Huang

  • Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks

    Zhigang Zeng;Jun Wang

  • Hierarchical Type Stability Criteria for Delayed Neural Networks via Canonical Bessel–Legendre Inequalities

    Xian-Ming Zhang;Qing-Long Han;Zhigang Zeng

  • Multistability of Recurrent Neural Networks With Time-varying Delays and the Piecewise Linear Activation Function

    Zhigang Zeng;Tingwen Huang;Wei Xing Zheng

  • Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays

    Ailong Wu;Zhigang Zeng

  • Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays

    Ailong Wu;Zhigang Zeng

  • CLU-CNNs: Object detection for medical images

    Zhuoling Li;Minghui Dong;Shiping Wen;Xiang Hu

  • Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays

    Shiping Wen;Gang Bao;Zhigang Zeng;Yiran Chen

  • Circuit design and exponential stabilization of memristive neural networks

    Shiping Wen;Tingwen Huang;Zhigang Zeng;Yiran Chen

  • Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays

    Shiping Wen;Zhigang Zeng;Tingwen Huang

  • Multiple Mittag–Leffler Stability of Fractional-Order Recurrent Neural Networks

    Peng Liu;Zhigang Zeng;Jun Wang

  • Memristor-Based Neural Network Circuit of Full-Function Pavlov Associative Memory With Time Delay and Variable Learning Rate

    Junwei Sun;Gaoyong Han;Zhigang Zeng;Yanfeng Wang

  • Anti-synchronization control of a class of memristive recurrent neural networks

    Ailong Wu;Zhigang Zeng

  • Improved conditions for global exponential stability of recurrent neural networks with time-varying delays

    Zhigang Zeng;Jun Wang

Frequent Co-Authors

Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Shiping Wen
Shiping Wen University of Technology Sydney
Huiming Tang
Huiming Tang China University of Geosciences
De-Shuang Huang
De-Shuang Huang Tongji University
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Chuandong Li
Chuandong Li Southwest University
Xinghuo Yu
Xinghuo Yu RMIT University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Haibo He
Haibo He University of Rhode Island
Michael Z. Q. Chen
Michael Z. Q. Chen Nanjing University of Science and Technology

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