World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
9669
World Ranking
3349
National Ranking
542

Ji-Feng Zhang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ji-Feng Zhang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 206 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ji-Feng Zhang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ji-Feng Zhang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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

Tao Li
Tao Li Florida International University
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
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Zhong-Ping Jiang
Zhong-Ping Jiang New York University

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