World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
10343
World Ranking
3494
National Ranking
103

Electronics and Electrical Engineering

D-Index
57
Citations
9915
World Ranking
2009
National Ranking
69

Overview

Shiping Wen is affiliated with the University of Technology Sydney in Australia. Their research spans multiple areas within computer science and engineering, with a focus on neural networks, synchronization, and stability analysis.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these areas, Shiping Wen has contributed to several subfields such as:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics
  • Cognitive Neuroscience

Their work centers on a range of topics including:

  • Neural Networks Stability and Synchronization
  • Advanced Memory and Neural Computing
  • Stochastic Dynamics and Bifurcation
  • Neural Networks and Applications
  • Neural Dynamics and Brain Function
  • Smart Grid Security and Resilience
  • Network Security and Intrusion Detection

Shiping Wen has co-authored research with frequent collaborators including Yuting Cao, Tingwen Huang, Bo Sun, Zhenyuan Guo, and Zheng Yan.

They have published multiple papers in several academic venues, notably:

  • Journal of the Franklin Institute (3 papers)
  • Information Sciences (2 papers)
  • Neural Networks (2 papers)
  • Neurocomputing (2 papers)
  • Applied Mathematics and Computation (1 paper)

Representative recent publications include:

  • "Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks" (2020, Information Sciences)
  • "Novel methods to finite-time Mittag-Leffler synchronization problem of fractional-order quaternion-valued neural networks" (2020, Information Sciences)
  • "Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control" (2020, Applied Mathematics and Computation)
  • "Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control" (2020, Neural Networks)
  • "Finite-time stability of coupled impulsive neural networks with time-varying delays and saturating actuators" (2020, Neurocomputing)

Best Publications

  • 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

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

    Shiping Wen;Zhigang Zeng;Tingwen Huang;Qinggang Meng

  • 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

  • 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

  • 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

  • Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

    Shiping Wen;Zhigang Zeng;Michael Z. Q. Chen;Tingwen Huang

  • A modified Elman neural network with a new learning rate scheme

    Guanghua Ren;Yuting Cao;Shiping Wen;Tingwen Huang

  • Memristive LSTM Network for Sentiment Analysis

    Shiping Wen;Huaqiang Wei;Yin Yang;Zhenyuan Guo

  • Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

    Shiping Wen;Tingwen Huang;Xinghuo Yu;Michael Z. Q. Chen

  • Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control.

    Yuting Cao;Shengbo Wang;Zhenyuan Guo;Tingwen Huang

  • Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method

    Shiping Wen;Shuixin Xiao;Yin Yang;Zheng Yan

  • Implementation of Memristive Neural Network With Full-Function Pavlov Associative Memory

    Xiaoyang Liu;Zhigang Zeng;Shiping Wen

  • Memristor-Based Echo State Network With Online Least Mean Square

    Shiping Wen;Rui Hu;Yin Yang;Tingwen Huang

  • Generating Realistic Videos From Keyframes With Concatenated GANs

    Shiping Wen;Weiwei Liu;Yin Yang;Tingwen Huang

  • Passivity Analysis of Delayed Reaction-Diffusion Memristor-Based Neural Networks

    Yanyi Cao;Yuting Cao;Shiping Wen;Tingwen Huang

Frequent Co-Authors

Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Zhigang Zeng
Zhigang Zeng Huazhong University of Science and Technology
Zheng Yan
Zheng Yan Xidian University
Yin Yang
Yin Yang Hamad bin Khalifa University
Xinghuo Yu
Xinghuo Yu RMIT University
Michael Z. Q. Chen
Michael Z. Q. Chen Nanjing University of Science and Technology
Pan Zhou
Pan Zhou Huazhong University of Science and Technology
Peng Li
Peng Li University of California, Santa Barbara
Chuandong Li
Chuandong Li Southwest University
Jinde Cao
Jinde Cao Southeast University

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