World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
9669
World Ranking
3349
National Ranking
541

Overview

Ji-Feng Zhang is affiliated with the Chinese Academy of Sciences in China. Their research spans primarily across the fields of Engineering and Computer Science, with a substantial focus on Control and Systems Engineering, Computer Networks and Communications, and Artificial Intelligence. They have contributed extensively to topics such as Distributed Control Multi-Agent Systems, Adaptive Control of Nonlinear Systems, Stability and Control of Uncertain Systems, Geology and Paleoclimatology Research, Stochastic processes and financial applications, Privacy-Preserving Technologies in Data, and Control Systems and Identification.

Ji-Feng Zhang has published numerous papers, several of which have garnered significant citations. Among recent publications are:

  • Does Digital Infrastructure Improve Urban Economic Resilience? Evidence from the Yangtze River Economic Belt in China, 2023, Sustainability
  • Advances in 3D/4D printing of mechanical metamaterials: From manufacturing to applications, 2023, Composites Part B Engineering
  • Climate change, vegetation history, and landscape responses on the Tibetan Plateau during the Holocene: A comprehensive review, 2020, Quaternary Science Reviews
  • Differentially private consensus algorithm for continuous-time heterogeneous multi-agent systems, 2020, Automatica
  • Mean field linear-quadratic control: Uniform stabilization and social optimality, 2020, Automatica

The scientist frequently collaborates with a number of researchers. Some of the most common coauthors include:

  • Yanlong Zhao
  • Jieming Ke
  • Jimin Wang
  • Yanjun Zhang
  • Jianbao Liu

Ji-Feng Zhang's research outputs have been published in various academic venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Automatica
  • IEEE Transactions on Automatic Control
  • SIAM Journal on Control and Optimization
  • Journal of Systems Science and Complexity

The scope of their research covers broad engineering and computing themes, with particular expertise in distributed control strategies for multi-agent systems and privacy-preserving algorithms. Additionally, their work spans interdisciplinary areas such as geology, paleoclimatology, and urban economic resilience, indicating a diverse research portfolio.

Best Publications

  • Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems

    Cui-Qin Ma;Ji-Feng Zhang

  • Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises

    Tao Li;Ji-Feng Zhang

  • Distributed Consensus With Limited Communication Data Rate

    Tao Li;Minyue Fu;Lihua Xie;Ji-Feng Zhang

  • Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems

    Shu-Jun Liu;Ji-Feng Zhang;Zhong-Ping Jiang

  • Brief paper: Mean square average-consensus under measurement noises and fixed topologies: Necessary and sufficient conditions

    Tao Li;Ji-Feng Zhang

  • System identification using binary sensors

    Le Yi Wang;Ji-Feng Zhang;G.G. Yin

  • System Identification with Quantized Observations

    Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao

  • Asymptotically Optimal Decentralized Control for Large Population Stochastic Multiagent Systems

    Tao Li;Ji-Feng Zhang

  • Consensus control for leader-following multi-agent systems with measurement noises

    Cuiqin Ma;Tao Li;Jifeng Zhang

  • Multi-Agent Consensus With Relative-State-Dependent Measurement Noises

    Tao Li;Fuke Wu;Ji-Feng Zhang

  • Adaptive output-feedback control for a class of uncertain stochastic non-linear systems with time delays

    Shu-Jun Liu;Shuzhi Sam Ge;Ji-Feng Zhang

  • Practical Output-Feedback Risk-Sensitive Control for Stochastic Nonlinear Systems with Stable Zero-Dynamics

    Yun-Gang Liu;Ji-Feng Zhang

  • Continuous-time and sampled-data-based average consensus with logarithmic quantizers

    Shuai Liu;Shuai Liu;Tao Li;Lihua Xie;Minyue Fu

  • Global output-feedback stabilization for a class of stochastic non-minimum-phase nonlinear systems

    Shu-Jun Liu;Zhong-Ping Jiang;Ji-Feng Zhang

  • A notion of stochastic input-to-state stability and its application to stability of cascaded stochastic nonlinear systems

    Shu Jun Liu;Ji Feng Zhang;Zhong Ping Jiang

  • Containment control of leader-following multi-agent systems with Markovian switching network topologies and measurement noises

    Wuquan Li;Lihua Xie;Ji-Feng Zhang

  • Distributed Parameter Estimation Over Unreliable Networks With Markovian Switching Topologies

    Qiang Zhang;Ji-Feng Zhang

  • On formability of linear continuous-time multi-agent systems

    Cuiqin Ma;Jifeng Zhang

  • Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises

    Xiaofeng Zong;Tao Li;Ji-Feng Zhang

  • Output-feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states

    Shu-Jun Liu;Shu-Jun Liu;Ji-Feng Zhang

  • Sampled-data based average consensus with logarithmic quantizers

    Shuai Liu;Tao Li;Lihua Xie;Minyue Fu

Frequent Co-Authors

George Yin
George Yin University of Connecticut
Le Yi Wang
Le Yi Wang Wayne State University
Lihua Xie
Lihua Xie Nanyang Technological University
Miroslav Krstic
Miroslav Krstic University of California, San Diego
Huanshui Zhang
Huanshui Zhang Shandong University of Science and Technology
Minyue Fu
Minyue Fu Southern University of Science and Technology
Peter E. Caines
Peter E. Caines McGill University
Zhong-Ping Jiang
Zhong-Ping Jiang New York University
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Yun Li
Yun Li University of North Carolina at Chapel Hill

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