World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
6250
World Ranking
1400
National Ranking
74

Engineering and Technology

D-Index
46
Citations
6562
World Ranking
5277
National Ranking
1032

Overview

Yang Liu is affiliated with Zhejiang Normal University in China and has contributed extensively to fields related to computer science and engineering. Their research output spans core topics in neural networks, systems control, and applied mathematics, with a focus on stability and synchronization aspects within these domains.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Liu has also worked across several subfields, such as:

  • Molecular Biology
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Statistical and Nonlinear Physics

The prominent research topics covered in their publications are:

  • Neural Networks Stability and Synchronization
  • Gene Regulatory Network Analysis
  • Stability and Control of Uncertain Systems
  • Distributed Control Multi-Agent Systems
  • Chaos control and synchronization
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Control and Stability of Dynamical Systems

Liu has published in several well-regarded venues, notably:

  • IEEE/CAA Journal of Automatica Sinica
  • arXiv (Cornell University)
  • Nonlinear Analysis Hybrid Systems
  • International Journal of Robust and Nonlinear Control
  • SSRN Electronic Journal

Their recent papers illustrate the scope and breadth of Liu's work, including:

  • "Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching" (2020) in IEEE Transactions on Neural Networks and Learning Systems
  • "Observability of switched Boolean control networks using algebraic forms" (2020) in Discrete and Continuous Dynamical Systems - S
  • "Stability analysis of totally positive switched linear systems with average dwell time switching" (2020) in Nonlinear Analysis Hybrid Systems
  • "Controllability and stabilization of Boolean control networks by the auxiliary function of flipping" (2020) in International Journal of Robust and Nonlinear Control
  • "Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays" (2023) in Neural Networks

Collaboration is a notable aspect of Liu's research activities. Frequent coauthors include:

  • Jianquan Lu
  • Jinde Cao
  • Jianlong Qiu
  • Kit Ian Kou
  • Weihua Gui

Best Publications

  • Controllability of probabilistic Boolean control networks based on transition probability matrices

    Yang Liu;Hongwei Chen;Jianquan Lu;Bo Wu

  • Survey on semi-tensor product method with its applications in logical networks and other finite-valued systems

    Jianquan Lu;Haitao Li;Yang Liu;Fangfei Li

  • Synchronization in an array of output-coupled Boolean networks with time delay.

    Jie Zhong;Jianquan Lu;Yang Liu;Jinde Cao

  • Global µ-stability criteria for quaternion-valued neural networks with unbounded time-varying delays

    Yang Liu;Dandan Zhang;Jianquan Lu;Jinde Cao

  • Stability Analysis of Quaternion-Valued Neural Networks: Decomposition and Direct Approaches

    Yang Liu;Dandan Zhang;Jungang Lou;Jianquan Lu

  • Pinning Control for the Disturbance Decoupling Problem of Boolean Networks

    Yang Liu;Bowen Li;Jianquan Lu;Jinde Cao

  • Stabilization of Boolean Control Networks Under Aperiodic Sampled-Data Control

    Jianquan Lu;Liangjie Sun;Yang Liu;Daniel W. C. Ho

  • Global exponential stability for quaternion-valued recurrent neural networks with time-varying delays

    Yang Liu;Yang Liu;Dandan Zhang;Jianquan Lu

  • Feedback Controller Design for the Synchronization of Boolean Control Networks

    Yang Liu;Liangjie Sun;Jianquan Lu;Jinling Liang

  • Global stability of Clifford-valued recurrent neural networks with time delays

    Yang Liu;Yang Liu;Pei Xu;Jianquan Lu;Jinling Liang

  • Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching

    Xinsong Yang;Yang Liu;Jinde Cao;Leszek Rutkowski

  • Controllability of Boolean control networks with impulsive effects and forbidden states

    Yang Liu;Hongwei Chen;Bo Wu

  • Hidden-Markov-Model-Based Asynchronous Filter Design of Nonlinear Markov Jump Systems in Continuous-Time Domain

    Shanling Dong;Zheng-Guang Wu;Ya-Jun Pan;Hongye Su

  • Function perturbations on singular Boolean networks

    Yang Liu;Yang Liu;Baowen Li;Hongwei Chen;Jinde Cao;Jinde Cao

  • Event-Triggered Sliding Mode Control for Attitude Stabilization of a Rigid Spacecraft

    Yang Liu;Bangxin Jiang;Jianquan Lu;Jinde Cao

  • Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach

    Yang Liu;Yanling Zheng;Jianquan Lu;Jinde Cao

  • Exponential Stability of Delayed Systems with Average-Delay Impulses

    Bangxin Jiang;Jianquan Lu;Yang Liu

  • Asymptotical Stability of Probabilistic Boolean Networks With State Delays

    Shiyong Zhu;Jianquan Lu;Yang Liu

  • Nonsingularity of Grain-like cascade FSRs via semi-tensor product

    Jianquan Lu;Meilin Li;Yang Liu;Daniel W.C. Ho

  • Further Results on the Controllability of Boolean Control Networks

    Qunxi Zhu;Yang Liu;Jianquan Lu;Jinde Cao

  • Event-Triggered Control for the Disturbance Decoupling Problem of Boolean Control Networks

    Bowen Li;Yang Liu;Kit Ian Kou;Li Yu

  • NLPMM: A Next Location Predictor with Markov Modeling

    Unknown

Frequent Co-Authors

Jianquan Lu
Jianquan Lu Southeast University
Jinde Cao
Jinde Cao Southeast University
Fuad E. Alsaadi
Fuad E. Alsaadi King Abdulaziz University
Zheng-Guang Wu
Zheng-Guang Wu Zhejiang University
Jinling Liang
Jinling Liang Southeast University
Weihua Gui
Weihua Gui Central South University
Leszek Rutkowski
Leszek Rutkowski AGH University of Science and Technology
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Tasawar Hayat
Tasawar Hayat Quaid-i-Azam University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research

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