What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Statistics
Long Wang spends much of his time researching Control theory, Multi-agent system, Consensus, Network topology and Mathematical optimization.
Many of his studies on Control theory involve topics that are commonly interrelated, such as Stability.
His Multi-agent system research includes elements of Distributed computing, Protocol, Topology and Topology.
His studies deal with areas such as Theoretical computer science, Class, Graph theory, Special case and Information exchange as well as Consensus.
Long Wang has included themes like Bounded function and Spanning tree in his Network topology study.
His Mathematical optimization research is multidisciplinary, incorporating elements of Convergence, Evolutionary dynamics, Statistical physics, Constraint and Nonlinear system.
His most cited work include:
- Finite-Time Consensus Problems for Networks of Dynamic Agents (762 citations)
- Brief paper: Finite-time formation control for multi-agent systems (608 citations)
- Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays (595 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Multi-agent system, Linear system, Microeconomics and Mathematical optimization.
In most of his Control theory studies, his work intersects topics such as Stability.
His research in Multi-agent system focuses on subjects like Network topology, which are connected to Protocol.
Long Wang frequently studies issues relating to Discrete time and continuous time and Linear system.
His work on Microeconomics is being expanded to include thematically relevant topics such as Dilemma.
Long Wang interconnects Observability and Reachability in the investigation of issues within Controllability.
He most often published in these fields:
- Control theory (36.17%)
- Multi-agent system (15.64%)
- Linear system (10.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Multi-agent system (15.64%)
- Topology (7.35%)
- Controllability (8.40%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Multi-agent system, Topology, Controllability, Microeconomics and Evolutionary dynamics.
His research in Multi-agent system intersects with topics in Mathematical optimization, Event triggered, Distributed computing and Control theory.
His Topology research incorporates elements of Linear system, Network topology, Nonlinear system, Almost surely and Observability.
His Controllability research includes themes of Control, Topology and Complex network.
The study incorporates disciplines such as Upper and lower bounds, Energy and Control in addition to Complex network.
His research integrates issues of Evolutionary biology, Selection and Stochastic game in his study of Evolutionary dynamics.
Between 2016 and 2021, his most popular works were:
- Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey (303 citations)
- The fundamental advantages of temporal networks (184 citations)
- Consensus of Hybrid Multi-Agent Systems (173 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
The scientist’s investigation covers issues in Multi-agent system, Topology, Controllability, Control theory and Network topology.
The various areas that Long Wang examines in his Multi-agent system study include Theoretical computer science, Distributed computing and Topology.
His work carried out in the field of Topology brings together such families of science as Structure and Protocol.
His Controllability research is multidisciplinary, incorporating perspectives in Evolving networks, Structure and Topology.
His work deals with themes such as Passive dynamics and Bandwidth, which intersect with Control theory.
His Network topology study incorporates themes from Perspective, Weak topology and Focus.
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