What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Artificial intelligence
His primary areas of study are Complex network, Topology, Scale-free network, Traffic flow and Statistical physics.
His work on Degree distribution as part of general Complex network study is frequently linked to Public opinion, therefore connecting diverse disciplines of science.
His Topology study incorporates themes from Path vector protocol, Routing protocol, Dynamic Source Routing and Hierarchical network model.
His biological study deals with issues like Network model, which deal with fields such as Kuramoto model, Community structure, Phase synchronization and Synchronization.
The study incorporates disciplines such as Intelligent transportation system, Real-time computing, Computer simulation and Cellular automaton in addition to Traffic flow.
His Statistical physics research is multidisciplinary, incorporating perspectives in Probability and statistics, Dispersion and Power law.
His most cited work include:
- Efficient routing on complex networks. (485 citations)
- Traffic dynamics based on local routing protocol on a scale-free network. (306 citations)
- Memory-based snowdrift game on networks. (281 citations)
What are the main themes of his work throughout his whole career to date?
Bing-Hong Wang mostly deals with Statistical physics, Topology, Complex network, Traffic flow and Microeconomics.
His Statistical physics research is multidisciplinary, incorporating elements of Probability and statistics, Phase transition, Human dynamics and Scaling.
His Topology research incorporates elements of Controllability, Cascading failure and Scale-free network.
Bing-Hong Wang interconnects Theoretical computer science and Degree in the investigation of issues within Complex network.
His Traffic flow research includes themes of Flow, Simulation, Phase diagram and Cellular automaton.
His study in Public goods game, Stochastic game and Public good is done as part of Microeconomics.
He most often published in these fields:
- Statistical physics (28.54%)
- Topology (18.25%)
- Complex network (16.50%)
What were the highlights of his more recent work (between 2015-2021)?
- Complex network (16.50%)
- Topology (18.25%)
- Degree distribution (10.10%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Complex network, Topology, Degree distribution, Betweenness centrality and Statistical physics.
Many of his research projects under Complex network are closely connected to Subprime crisis with Subprime crisis, tying the diverse disciplines of science together.
His work deals with themes such as Three-phase traffic theory, Cascading failure, Traffic model, Robustness and Cellular automaton, which intersect with Topology.
The Degree distribution study combines topics in areas such as Distributed computing and Bipartite graph.
His studies deal with areas such as Scale-free network and Network theory as well as Betweenness centrality.
His Statistical physics research focuses on subjects like Phase transition, which are linked to Process.
Between 2015 and 2021, his most popular works were:
- Identifying influential spreaders in complex networks based on gravity formula (95 citations)
- Measuring mixing patterns in complex networks by Spearman rank correlation coefficient (58 citations)
- Cooperation in spatial evolutionary games with historical payoffs (24 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Artificial intelligence
His primary scientific interests are in Topology, Simulation, Pedestrian, Motion and Measure.
His research in Topology intersects with topics in Controllability, Traffic model, Cascading failure and Three-phase traffic theory.
His research in Cascading failure tackles topics such as Robustness which are related to areas like Assortativity, Giant component, Percolation, Degree and Dependency.
He combines subjects such as Field, Crowding, Mode and Pedestrian flow with his study of Simulation.
The concepts of his Pedestrian study are interwoven with issues in Flow, Complex system and Path.
His biological study spans a wide range of topics, including Contrast, Mathematical economics, Stochastic game, Traveler's dilemma and Symmetric game.
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