H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 50 Citations 8,632 272 World Ranking 1469 National Ranking 158

Overview

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.

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

Efficient routing on complex networks.

Gang Yan;Tao Zhou;Bo Hu;Zhong-Qian Fu.
Physical Review E (2006)

665 Citations

Traffic dynamics based on local routing protocol on a scale-free network.

Wen-Xu Wang;Bing-Hong Wang;Chuan-Yang Yin;Yan-Bo Xie.
Physical Review E (2006)

463 Citations

General dynamics of topology and traffic on weighted technological networks.

Wen-Xu Wang;Bing-Hong Wang;Bo Hu;Gang Yan.
Physical Review Letters (2005)

359 Citations

Memory-based snowdrift game on networks.

Wen-Xu Wang;Wen-Xu Wang;Jie Ren;Guanrong Chen;Bing-Hong Wang.
Physical Review E (2006)

355 Citations

Maximal planar networks with large clustering coefficient and power-law degree distribution.

Tao Zhou;Gang Yan;Bing-Hong Wang.
Physical Review E (2005)

337 Citations

Simulation of evacuation processes using a multi-grid model for pedestrian dynamics

Weiguo Song;Xuan Xu;Bing-Hong Wang;Shunjiang Ni.
Physica A-statistical Mechanics and Its Applications (2006)

299 Citations

Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity.

Tao Zhou;Tao Zhou;Jian-Guo Liu;Wen-Jie Bai;Guanrong Chen.
Physical Review E (2006)

298 Citations

Role of activity in human dynamics

Tao Zhou;Tao Zhou;Hoang Anh Tuan Kiet;Beom Jun Kim;Bing-Hong Wang.
EPL (2008)

241 Citations

Integrating local static and dynamic information for routing traffic

Wen-Xu Wang;Chuan-Yang Yin;Gang Yan;Bing-Hong Wang.
Physical Review E (2006)

234 Citations

Epidemic spreading on heterogeneous networks with identical infectivity

Rui Yang;Bing-Hong Wang;Jie Ren;Wen-Jie Bai.
Physics Letters A (2007)

214 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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