H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 37 Citations 6,397 164 World Ranking 2189 National Ranking 245

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Artificial intelligence

Estimator, Mathematical optimization, Kalman filter, Covariance and Scheduling are his primary areas of study. His Estimator study integrates concerns from other disciplines, such as Upper and lower bounds, Real-time computing, State and Control theory. His Mathematical optimization study incorporates themes from Covariance matrix and Markov process.

Ling Shi has included themes like Algorithm and Network packet in his Kalman filter study. His studies examine the connections between Covariance and genetics, as well as such issues in Estimation theory, with regards to Job shop scheduling and Analysis of covariance. His work on Rate-monotonic scheduling, Dynamic priority scheduling and Fair-share scheduling is typically connected to Denial-of-service attack as part of general Scheduling study, connecting several disciplines of science.

His most cited work include:

  • Optimal DoS Attack Scheduling in Wireless Networked Control System (320 citations)
  • Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality (317 citations)
  • Optimal Denial-of-Service Attack Scheduling With Energy Constraint (267 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Estimator, Mathematical optimization, Control theory, Kalman filter and Scheduling. His study in Estimator is interdisciplinary in nature, drawing from both Covariance, Real-time computing, State and Network packet. The various areas that he examines in his Mathematical optimization study include Markov decision process, Markov process, Communication channel and Dynamic priority scheduling.

Ling Shi interconnects Upper and lower bounds and Bounded function in the investigation of issues within Control theory. Ling Shi combines subjects such as Algorithm, Covariance matrix and Sensor fusion with his study of Kalman filter. His studies in Scheduling integrate themes in fields like Minimum mean square error and Energy constraint.

He most often published in these fields:

  • Estimator (35.86%)
  • Mathematical optimization (29.66%)
  • Control theory (25.86%)

What were the highlights of his more recent work (between 2019-2021)?

  • Estimator (35.86%)
  • Mathematical optimization (29.66%)
  • Control theory (25.86%)

In recent papers he was focusing on the following fields of study:

Ling Shi focuses on Estimator, Mathematical optimization, Control theory, State and Scheduling. His Estimator research incorporates themes from Wireless sensor network, Data transmission and Covariance. His Mathematical optimization study combines topics in areas such as Markov decision process and Communication channel.

When carried out as part of a general Control theory research project, his work on PID controller is frequently linked to work in Stiffness, therefore connecting diverse disciplines of study. The Job shop scheduling research Ling Shi does as part of his general Scheduling study is frequently linked to other disciplines of science, such as Schedule, therefore creating a link between diverse domains of science. His work focuses on many connections between Network packet and other disciplines, such as Kalman filter, that overlap with his field of interest in State.

Between 2019 and 2021, his most popular works were:

  • Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems (25 citations)
  • Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications (21 citations)
  • Learning Optimal Scheduling Policy for Remote State Estimation Under Uncertain Channel Condition (9 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Computer network

Ling Shi mostly deals with Estimator, Mathematical optimization, Kalman filter, Network packet and Scheduling. His Estimator research includes themes of Wireless sensor network, Computer network, Markov decision process and Observability. His Wireless sensor network study which covers Linear system that intersects with Covariance.

The concepts of his Mathematical optimization study are interwoven with issues in Communication channel and Monotonic function. His Kalman filter research includes elements of Probability distribution, State variable and Algorithm. His Job shop scheduling study in the realm of Scheduling interacts with subjects such as Schedule, Invariant and Global Positioning System.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Optimal DoS Attack Scheduling in Wireless Networked Control System

Heng Zhang;Peng Cheng;Ling Shi;Jiming Chen.
IEEE Transactions on Control Systems and Technology (2016)

372 Citations

Optimal Denial-of-Service Attack Scheduling With Energy Constraint

Heng Zhang;Peng Cheng;Ling Shi;Jiming Chen.
IEEE Transactions on Automatic Control (2015)

342 Citations

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

Junfeng Wu;Qing-Shan Jia;K. H. Johansson;Ling Shi.
IEEE Transactions on Automatic Control (2013)

322 Citations

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

Jianping He;Peng Cheng;Ling Shi;Jiming Chen.
IEEE Transactions on Automatic Control (2014)

296 Citations

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

Yuzhe Li;Ling Shi;Peng Cheng;Jiming Chen.
IEEE Transactions on Automatic Control (2015)

273 Citations

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

Ling Shi;Peng Cheng;Jiming Chen.
Automatica (2011)

216 Citations

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

Ling Shi;M. Epstein;R.M. Murray.
IEEE Transactions on Automatic Control (2010)

199 Citations

Stochastic event-triggered sensor scheduling for remote state estimation

Duo Han;Yilin Mo;Junfeng Wu;Sean Weerakkody.
conference on decision and control (2013)

197 Citations

Optimal Linear Cyber-Attack on Remote State Estimation

Ziyang Guo;Dawei Shi;Karl Henrik Johansson;Ling Shi.
IEEE Transactions on Control of Network Systems (2017)

190 Citations

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

Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey;Ling Shi.
IEEE Transactions on Control of Network Systems (2017)

164 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Ling Shi

Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

Publications: 46

Zidong Wang

Zidong Wang

Brunel University London

Publications: 43

Daniel E. Quevedo

Daniel E. Quevedo

Queensland University of Technology

Publications: 43

Peng Cheng

Peng Cheng

Zhejiang University

Publications: 42

Jianping He

Jianping He

Nanjing University of Aeronautics and Astronautics

Publications: 38

Jiming Chen

Jiming Chen

Zhejiang University

Publications: 37

Minyue Fu

Minyue Fu

University of Newcastle Australia

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Tongwen Chen

Tongwen Chen

University of Alberta

Publications: 24

Hideaki Ishii

Hideaki Ishii

Tokyo Institute of Technology

Publications: 24

Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

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Guang-Hong Yang

Guang-Hong Yang

Northeastern University

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Wei Xing Zheng

Wei Xing Zheng

Western Sydney University

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Lihua Xie

Lihua Xie

Nanyang Technological University

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Wen-An Zhang

Wen-An Zhang

Zhejiang University of Technology

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Bruno Sinopoli

Bruno Sinopoli

Washington University in St. Louis

Publications: 19

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