World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
13236
World Ranking
1855
National Ranking
320

Ling Shi 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 Ling Shi 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: 292 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Ling Shi 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 Ling Shi 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: 58 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Ling Shi is affiliated with the Hong Kong University of Science and Technology in China. Their research spans several interconnected fields and subfields, with a primary focus on computer science and engineering.

The main fields of study include:

  • Computer Science
  • Engineering

Ling Shi works extensively within specific subfields as well:

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

Their research topics cover a broad range of important themes:

  • Distributed Control Multi-Agent Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Target Tracking and Data Fusion in Sensor Networks
  • Stability and Control of Uncertain Systems
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Energy Efficient Wireless Sensor Networks

Ling Shi has published extensively, with recent important papers including:

  • Optimal Denial-of-Service attack energy management against state estimation over an SINR-based network, 2020, Automatica
  • Randomized Consensus-Based Distributed Kalman Filtering Over Wireless Sensor Networks, 2020, IEEE Transactions on Automatic Control
  • Remote State Estimation in the Presence of an Active Eavesdropper, 2020, IEEE Transactions on Automatic Control
  • Online Pareto optimal control of mean-field stochastic multi-player systems using policy iteration, 2024, Science China Information Sciences
  • Determination of eight neonicotinoid insecticides in Chinese cabbage using a modified QuEChERS method combined with ultra performance liquid chromatography-tandem mass spectrometry, 2022, Food Chemistry

Frequent publication venues for Ling Shi include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • Automatica
  • IEEE Transactions on Control of Network Systems
  • IEEE Control Systems Letters

Collaborations are a notable aspect of Ling Shi's academic activity. Frequent co-authors include:

  • Dawei Shi
  • Lingying Huang
  • Subhrakanti Dey
  • Nachuan Yang
  • Peihu Duan

Ling Shi has also contributed to book publications. One such publication is titled Event-Triggered Active Disturbance Rejection Control, published by Springer International Publishing in 2021.

Best Publications

  • Optimal Denial-of-Service Attack Scheduling With Energy Constraint

    Heng Zhang;Peng Cheng;Ling Shi;Jiming Chen

  • Optimal DoS Attack Scheduling in Wireless Networked Control System

    Heng Zhang;Peng Cheng;Ling Shi;Jiming Chen

  • Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality

    Junfeng Wu;Qing-Shan Jia;K. H. Johansson;Ling Shi

  • Optimal Linear Cyber-Attack on Remote State Estimation

    Ziyang Guo;Dawei Shi;Karl Henrik Johansson;Ling Shi

  • Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach

    Yuzhe Li;Ling Shi;Peng Cheng;Jiming Chen

  • Time Synchronization in WSNs: A Maximum-Value-Based Consensus Approach

    Jianping He;Peng Cheng;Ling Shi;Jiming Chen

  • Stochastic event-triggered sensor scheduling for remote state estimation

    Duo Han;Yilin Mo;Junfeng Wu;Sean Weerakkody

  • SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach

    Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey;Ling Shi

  • Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks

    Jiahu Qin;Menglin Li;Ling Shi;Xinghuo Yu

  • Worst-case stealthy innovation-based linear attack on remote state estimation

    Ziyang Guo;Dawei Shi;Karl Henrik Johansson;Ling Shi

  • Brief paper: Sensor data scheduling for optimal state estimation with communication energy constraint

    Ling Shi;Peng Cheng;Jiming Chen

  • Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective

    Ling Shi;M. Epstein;R.M. Murray

  • Detection Against Linear Deception Attacks on Multi-Sensor Remote State Estimation

    Yuzhe Li;Ling Shi;Tongwen Chen

  • A multi-channel transmission schedule for remote state estimation under DoS attacks

    Kemi Ding;Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey

  • Event-triggered maximum likelihood state estimation

    Dawei Shi;Tongwen Chen;Ling Shi

  • Distributed filtering under false data injection attacks

    Wen Yang;Yu Zhang;Guanrong Chen;Chao Yang

  • Decentralised minimum-time consensus

    Ye Yuan;Guy-Bart Stan;Ling Shi;Mauricio Barahona

  • An event-triggered approach to state estimation with multiple point- and set-valued measurements

    Dawei Shi;Tongwen Chen;Ling Shi

  • Stochastic Event-triggered Sensor Schedule for Remote State Estimation

    Duo Han;Yilin Mo;Junfeng Wu;Sean Weerakkody

  • Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems

    Alex S. Leong;Arunselvan Ramaswamy;Daniel E. Quevedo;Holger Karl

  • Stochastic sensor activation for distributed state estimation over a sensor network

    Wen Yang;Guanrong Chen;Xiaofan Wang;Ling Shi

Frequent Co-Authors

Peng Cheng
Peng Cheng Zhejiang University
Dawei Shi
Dawei Shi Beijing Institute of Technology
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Daniel E. Quevedo
Daniel E. Quevedo University of Sydney
Richard M. Murray
Richard M. Murray California Institute of Technology
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Jiming Chen
Jiming Chen Zhejiang University
Jianping He
Jianping He Nanjing University of Aeronautics and Astronautics
Tongwen Chen
Tongwen Chen University of Alberta
Bruno Sinopoli
Bruno Sinopoli Washington University in St. Louis

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