World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
13236
World Ranking
1855
National Ranking
319

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
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
Lihua Xie
Lihua Xie Nanyang Technological University

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