H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 3,606 105 World Ranking 6797 National Ranking 303

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Mathematical optimization

Mathematical optimization, Distributed computing, Nonlinear system, Cryptography and Algorithm are his primary areas of study. His Mathematical optimization research includes themes of Hopfield network and Smart grid. His studies deal with areas such as Hybrid approach, Network topology, Multi-agent system and Rate of convergence as well as Distributed computing.

Algorithm design is closely connected to Telecommunications network in his research, which is encompassed under the umbrella topic of Network topology. His research in Nonlinear system intersects with topics in Independence, Chaotic, Numerical analysis and Distribution. His Cryptography research is multidisciplinary, relying on both Adaptive simulated annealing, Simulated annealing and Heuristic.

His most cited work include:

  • Efficient Computation for Sparse Load Shifting in Demand Side Management (150 citations)
  • An extended method for obtaining S-boxes based on three-dimensional chaotic Baker maps (140 citations)
  • An extended method for obtaining S-boxes based on three-dimensional chaotic Baker maps (140 citations)

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

The scientist’s investigation covers issues in Mathematical optimization, Smart grid, Distributed computing, Electric power system and Algorithm. His Mathematical optimization research incorporates elements of Distributed algorithm, Convergence, AC power and Convex optimization. The concepts of his Distributed computing study are interwoven with issues in Telecommunications network, Network topology, Multi-agent system and Cascading failure.

His biological study spans a wide range of topics, including Convolutional neural network and Nonlinear system. His Cryptography study combines topics in areas such as Independence and Numerical analysis. His work carried out in the field of Numerical analysis brings together such families of science as Chaotic and Distribution.

He most often published in these fields:

  • Mathematical optimization (36.36%)
  • Smart grid (17.36%)
  • Distributed computing (14.88%)

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

  • Mathematical optimization (36.36%)
  • Smart grid (17.36%)
  • Algorithm (16.53%)

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

His main research concerns Mathematical optimization, Smart grid, Algorithm, Distributed algorithm and Convex optimization. He combines subjects such as Electric vehicle, Convergence and Location model with his study of Mathematical optimization. Guo Chen works mostly in the field of Smart grid, limiting it down to topics relating to Injection attacks and, in certain cases, Malware, as a part of the same area of interest.

Guo Chen has included themes like Network architecture, Feature extraction and Solver in his Algorithm study. His Distributed algorithm study combines topics from a wide range of disciplines, such as Algorithm design, Bounded function, Uniform boundedness, Scheduling and Economic dispatch. The study incorporates disciplines such as Convex function and Asynchronous communication in addition to Convex optimization.

Between 2019 and 2021, his most popular works were:

  • A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (46 citations)
  • Distributed Robust Algorithm for Economic Dispatch in Smart Grids Over General Unbalanced Directed Networks (14 citations)
  • Robust chance-constrained programming approach for the planning of fast-charging stations in electrified transportation networks (10 citations)

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

  • Statistics
  • Artificial intelligence
  • Mathematical optimization

Guo Chen mostly deals with Algorithm, Smart grid, Mathematical optimization, Injection attacks and Malware. Particularly relevant to Algorithm design is his body of work in Algorithm. His study connects Economic dispatch and Smart grid.

His Mathematical optimization research includes elements of Electricity generation, Price signal and Renewable energy.

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

An extended method for obtaining S-boxes based on three-dimensional chaotic Baker maps

Guo Chen;Guo Chen;Yong Chen;Xiaofeng Liao.
Chaos Solitons & Fractals (2007)

214 Citations

Efficient Computation for Sparse Load Shifting in Demand Side Management

Chaojie Li;Xinghuo Yu;Wenwu Yu;Guo Chen.
IEEE Transactions on Smart Grid (2017)

190 Citations

Attack structural vulnerability of power grids: A hybrid approach based on complex networks

Guo Chen;Zhao Yang Dong;David J. Hill;Guo Hua Zhang.
Physica A-statistical Mechanics and Its Applications (2010)

176 Citations

Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks

Huaqing Li;Xiaofeng Liao;Guo Chen;David J. Hill.
Neural Networks (2015)

155 Citations

An improved model for structural vulnerability analysis of power networks

Guo Chen;Guo Chen;Zhao Yang Dong;David J. Hill;Guo Hua Zhang.
Physica A-statistical Mechanics and Its Applications (2009)

127 Citations

High-Performance Consensus Control in Networked Systems With Limited Bandwidth Communication and Time-Varying Directed Topologies

Huaqing Li;Guo Chen;Tingwen Huang;Zhaoyang Dong.
IEEE Transactions on Neural Networks (2017)

122 Citations

Exploring Reliable Strategies for Defending Power Systems Against Targeted Attacks

Guo Chen;Zhao Yang Dong;D. J. Hill;Yu Sheng Xue.
IEEE Transactions on Power Systems (2011)

120 Citations

Event-Triggered Distributed Average Consensus Over Directed Digital Networks With Limited Communication Bandwidth

Huaqing Li;Guo Chen;Tingwen Huang;Zhaoyang Dong.
IEEE Transactions on Systems, Man, and Cybernetics (2016)

120 Citations

A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach

Chaojie Li;Xinghuo Yu;Tingwen Huang;Guo Chen.
IEEE Transactions on Neural Networks (2016)

111 Citations

A novel heuristic method for obtaining S-boxes

Guo Chen;Guo Chen.
Chaos Solitons & Fractals (2008)

107 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 Guo Chen

Tingwen Huang

Tingwen Huang

Texas A&M University at Qatar

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