World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
9223
World Ranking
3073
National Ranking
501

Overview

Jun-an Lu is affiliated with Wuhan University in China. Their research primarily spans the fields of Computer Science and Physics and Astronomy with a total of 64 publications distributed between these disciplines.

Their work focuses on several subfields including Computer Networks and Communications, Statistical and Nonlinear Physics, Molecular Biology, Modeling and Simulation, and Geometry and Topology. Within these areas, Jun-an Lu has contributed to topics such as Neural Networks Stability and Synchronization, Nonlinear Dynamics and Pattern Formation, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Gene Regulatory Network Analysis, COVID-19 epidemiological studies, and stochastic dynamics and bifurcation.

Notable recent papers authored or co-authored by Jun-an Lu include:

  • Statistical and network analysis of 1212 COVID-19 patients in Henan, China (2020) published in International Journal of Infectious Diseases
  • Bounded Synchronization of Heterogeneous Complex Dynamical Networks: A Unified Approach (2020) published in IEEE Transactions on Automatic Control
  • Synchronization in multiplex networks (2024) published in Physics Reports
  • Finite-Time Synchronization of Impulsive Dynamical Networks With Strong Nonlinearity (2020) published in IEEE Transactions on Automatic Control
  • Searching for Key Cycles in a Complex Network (2023) published in Physical Review Letters

Throughout their career, Jun-an Lu has frequently published in the following venues:

  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Communications in Nonlinear Science and Numerical Simulation

Jun-an Lu has collaborated regularly with several researchers, including:

  • Jin Zhou (with 18 coauthored works)
  • Shuaibing Zhu (8 works)
  • Xiaoqun Wu (8 works)
  • Jinhu Lü (6 works)
  • Juan Wei (4 works)

Best Publications

  • Adaptive synchronization of an uncertain complex dynamical network

    Jin Zhou;Jun-an Lu;Jinhu Lu

  • Pinning adaptive synchronization of a general complex dynamical network

    Jin Zhou;Jun-an Lu;Jinhu Lü

  • Generating hyperchaotic Lü attractor via state feedback control

    Aimin Chen;Junan Lu;Jinhu Lü;Simin Yu

  • Synchronization of a unified chaotic system and the application in secure communication

    Junan Lu;Xiaoqun Wu;Jinhu Lü

  • Structure identification of uncertain general complex dynamical networks with time delay

    Hui Liu;Jun-An Lu;Jinhu Lü;David J. Hill

  • Adaptive feedback synchronization of a unified chaotic system

    Junan Lu;Xiaoqun Wu;Xiuping Han;Jinhu Lü

  • Adaptive Feedback Synchronization of a General Complex Dynamical Network With Delayed Nodes

    Qunjiao Zhang;Junan Lu;Jinhu Lu;C.K. Tse

  • Adaptive synchronization between two complex networks with nonidentical topological structures

    Hongwu Tang;Hongwu Tang;Liang Chen;Jun an Lu;Chi Kong Tse

  • Estimating the bounds for the Lorenz family of chaotic systems

    Damei Li;Jun-an Lu;Xiaoqun Wu;Guanrong Chen

  • Topology identification of weighted complex dynamical networks

    Jin Zhou;Jun-an Lu

  • Controlling uncertain Lü system using linear feedback

    Jinhu Lü;Junan Lu

  • Estimating the ultimate bound and positively invariant set for the Lorenz system and a unified chaotic system

    Damei Li;Jun an Lu;Xiaoqun Wu;Guanrong Chen

  • Master stability functions for complete, intralayer, and interlayer synchronization in multiplex networks of coupled Rössler oscillators.

    Longkun Tang;Xiaoqun Wu;Xiaoqun Wu;Jinhu Lü;Jun-an Lu

  • Synchronizability of Duplex Networks

    Yang Li;Xiaoqun Wu;Jun-an Lu;Jinhu Lu

  • Compressive-Sensing-Based Structure Identification for Multilayer Networks

    Guofeng Mei;Xiaoqun Wu;Yingfei Wang;Mi Hu

  • Linearly coupled synchronization of the unified chaotic systems and the Lorenz systems

    Damei Li;Jun-an Lu;Xiaoqun Wu

  • Optimizing Pinning Control of Complex Dynamical Networks Based on Spectral Properties of Grounded Laplacian Matrices

    Hui Liu;Xuanhong Xu;Jun-An Lu;Guanrong Chen

  • Chaos synchronization of a new chaotic system via nonlinear control

    Qunjiao Zhang;Jun-an Lu

  • Synchronization: An Obstacle to Identification of Network Topology

    Liang Chen;Jun-an Lu;C.K. Tse

  • Identifying Topologies of Complex Dynamical Networks With Stochastic Perturbations

    Xiaoqun Wu;Xueyi Zhao;Jinhu Lu;Longkun Tang

  • Generalized synchronization in complex dynamical networks via adaptive couplings

    Hui Liu;Jiawen Chen;Jun-an Lu;Ming Cao

Frequent Co-Authors

Jinhu Lu
Jinhu Lu Beihang University
Guanrong Chen
Guanrong Chen City University of Hong Kong
Chi K. Tse
Chi K. Tse City University of Hong Kong
Siu-Chung Wong
Siu-Chung Wong Hong Kong Polytechnic University
Wenwu Yu
Wenwu Yu Southeast University
Xinghuo Yu
Xinghuo Yu RMIT University
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Ming Cao
Ming Cao University of Groningen

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can expand career opportunities and skill sets. Many professionals seek a bachelor's in project management to strengthen their ability to lead technical teams and manage large-scale engineering projects effectively.

Balancing work and study is a common challenge, but options like accelerated online degree programs for working adults allow students to earn credentials faster without sacrificing quality. These programs are designed to help learners advance in their careers while meeting personal commitments.

For those interested in expanding into education or training roles within the tech field, pursuing a master's in instructional design offers specialized skills to create effective learning experiences for engineers and technical staff.

Additionally, competency based masters provide a flexible, skills-focused approach, allowing students to demonstrate expertise and progress at their own pace—ideal for professionals looking to tailor education to their specific career goals.

Best Scientists Citing Jun-an Lu

Trending Scientists