World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
10768
World Ranking
1579
National Ranking
262

Jun Cheng 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 Jun Cheng 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: 236 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Jun Cheng 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 Jun Cheng 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: 61 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Jun Cheng is affiliated with Guangxi Normal University in China and has made extensive contributions in the fields of Engineering and Computer Science. Their research primarily focuses on Control and Systems Engineering, alongside notable work in Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, and Computational Theory and Mathematics.

Their work spans several key topics, including:

  • Stability and Control of Uncertain Systems
  • Neural Networks Stability and Synchronization
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Smart Grid Security and Resilience
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization

Jun Cheng has a solid publication record in various respected journals. Frequent publication venues include:

  • Journal of the Franklin Institute
  • IEEE Transactions on Cybernetics
  • Information Sciences
  • Applied Mathematics and Computation
  • IEEE Transactions on Systems Man and Cybernetics Systems

They regularly collaborate with several coauthors, among whom are:

  • Kaibo Shi
  • Huaicheng Yan
  • Wenhai Qi
  • Jinde Cao
  • Ju H. Park

Recent papers authored or coauthored by Jun Cheng include:

  • Static Output Feedback Quantized Control for Fuzzy Markovian Switching Singularly Perturbed Systems With Deception Attacks, 2021, IEEE Transactions on Fuzzy Systems
  • A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities, 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • Novel event-triggered protocol to sliding mode control for singular semi-Markov jump systems, 2023, Automatica

Other influential works within their network of researchers related to their fields include:

  • Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation, 2020, IEEE Transactions on Vehicular Technology
  • Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application, 2021, IEEE Transactions on Cybernetics

Best Publications

  • Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control

    Kaibo Shi;Jun Wang;Shouming Zhong;Yuanyan Tang

  • An Asynchronous Operation Approach to Event-Triggered Control for Fuzzy Markovian Jump Systems With General Switching Policies

    Jun Cheng;Ju H. Park;Lixian Zhang;Yanzheng Zhu

  • Finite-time H∞ fuzzy control of nonlinear Markovian jump delayed systems with partly uncertain transition descriptions

    Jun Cheng;Ju H. Park;Yajuan Liu;Zhijun Liu

  • Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation

    Weixiang Zhou;Yueying Wang;Choon Ki Ahn;Jun Cheng

  • Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs

    Jun Cheng;Ju H. Park;Jinde Cao;Wenhai Qi

  • Quantized Nonstationary Filtering of Networked Markov Switching RSNSs: A Multiple Hierarchical Structure Strategy

    Jun Cheng;Ju H. Park;Xudong Zhao;Hamid Reza Karimi

  • A Flexible Terminal Approach to Sampled-Data Exponentially Synchronization of Markovian Neural Networks With Time-Varying Delayed Signals

    Jun Cheng;Ju H. Park;Hamid Reza Karimi;Hao Shen

  • An Event-Based Asynchronous Approach to Markov Jump Systems With Hidden Mode Detections and Missing Measurements

    Jun Cheng;Choon Ki Ahn;Hamid Reza Karimi;Jinde Cao

  • Static output feedback control of nonhomogeneous Markovian jump systems with asynchronous time delays

    Jun Cheng;Ju H. Park;Hamid Reza Karimi;Xudong Zhao

  • Static Output Feedback Quantized Control for Fuzzy Markovian Switching Singularly Perturbed Systems with Deception Attacks

    Jun Cheng;Yueying Wang;Ju H. Park;Jinde Cao

  • Novel event-triggered protocol to sliding mode control for singular semi-Markov jump systems

    Unknown

  • Protocol-Based Output-Feedback Control for Semi-Markov Jump Systems

    Unknown

  • Protocol-based filtering for fuzzy Markov affine systems with switching chain

    Unknown

  • Event-Triggering and Quantized Sliding Mode Control of UMV Systems Under DoS Attack

    Unknown

  • Quantized H∞ filtering for switched linear parameter-varying systems with sojourn probabilities and unreliable communication channels

    Jun Cheng;Jun Cheng;Ju H. Park;Jinde Cao;Dian Zhang

  • A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities

    Jun Cheng;Lidan Liang;Ju H. Park;Huaicheng Yan

  • Finite-time H∞ control for a class of Markovian jump systems with mode-dependent time-varying delays via new Lyapunov functionals.

    Jun Cheng;Hong Zhu;Shouming Zhong;Yong Zeng

  • Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application.

    Wenhai Qi;Xu Yang;Ju H. Park;Jinde Cao

  • New reliable nonuniform sampling control for uncertain chaotic neural networks under Markov switching topologies

    Kaibo Shi;Jun Wang;Shouming Zhong;Xiaojun Zhang

  • Hybrid-driven finite-time H∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks

    Kaibo Shi;Jun wang;Shouming Zhong;Yuanyan Tang

  • Finite-time stabilization of T–S fuzzy semi-Markov switching systems: A coupling memory sampled-data control approach

    Jun Cheng;Jun Cheng;Dian Zhang;Wenhai Qi;Jinde Cao

  • Finite-time filtering for switched linear systems with a mode-dependent average dwell time

    Jun Cheng;Hong Zhu;Shouming Zhong;Fengxia Zheng

  • Static output feedback control of switched systems with quantization: A nonhomogeneous sojourn probability approach

    Jun Cheng;Ju H. Park;Xudong Zhao;Jinde Cao

  • A hidden mode observation approach to finite-time SOFC of Markovian switching systems with quantization

    Jun Cheng;Ju H. Park;Jinde Cao;Wenhai Qi

Frequent Co-Authors

Shouming Zhong
Shouming Zhong University of Electronic Science and Technology of China
Jinde Cao
Jinde Cao Southeast University
Ju H. Park
Ju H. Park Yeungnam University
Kaibo Shi
Kaibo Shi Chengdu University
Guangdeng Zong
Guangdeng Zong Tianjin Polytechnic University
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Choon Ki Ahn
Choon Ki Ahn Korea University
Yonggui Kao
Yonggui Kao Harbin Institute of Technology
Xinzhi Liu
Xinzhi Liu University of Waterloo
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan

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