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.
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