H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 37 Citations 4,292 150 World Ranking 1254 National Ranking 65

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

Discrete mathematics, Random walk, Fractal, Degree distribution and Statistical physics are his primary areas of study. His work deals with themes such as Eigenvalues and eigenvectors, Laplacian matrix, Laplace operator and First-hitting-time model, which intersect with Random walk. Zhongzhi Zhang has included themes like Graph theory and Spanning tree in his Fractal study.

As a part of the same scientific study, he usually deals with the Degree distribution, concentrating on Clustering coefficient and frequently concerns with Topology and Dimension. His research integrates issues of Recurrence relation, Limit and Scale-free network in his study of Statistical physics. The study incorporates disciplines such as Average path length and Theoretical computer science in addition to Complex network.

His most cited work include:

  • Attack vulnerability of scale-free networks due to cascading failures (146 citations)
  • Exact solution for mean first-passage time on a pseudofractal scale-free web. (102 citations)
  • A deterministic small-world network created by edge iterations (98 citations)

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

His primary areas of investigation include Random walk, Statistical physics, Degree distribution, Discrete mathematics and Complex network. His Random walk research incorporates themes from Node, Stochastic process, Eigenvalues and eigenvectors and First-hitting-time model. His Statistical physics research is multidisciplinary, incorporating elements of Fractal, Position and Scale-free network.

His Degree distribution research is multidisciplinary, relying on both Recursive tree, Network model, Average path length and Clustering coefficient. His research in Clustering coefficient intersects with topics in Small-world network and Topology. His Discrete mathematics research includes themes of Sierpinski triangle and Combinatorics.

He most often published in these fields:

  • Random walk (33.06%)
  • Statistical physics (32.66%)
  • Degree distribution (29.03%)

What were the highlights of his more recent work (between 2017-2021)?

  • Random walk (33.06%)
  • Centrality (5.24%)
  • Combinatorics (20.56%)

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

Zhongzhi Zhang focuses on Random walk, Centrality, Combinatorics, Graph and Discrete mathematics. His study on Random walk also encompasses disciplines like

  • Hitting time together with Stationary distribution, Statistical physics, Eigenvalues and eigenvectors and Spanning tree,
  • Graph which connect with Spacetime. His studies deal with areas such as Complex network, Degree distribution and White noise as well as Statistical physics.

His study in Centrality is interdisciplinary in nature, drawing from both Randomized algorithm and Topology. His studies in Combinatorics integrate themes in fields like Exponential function and Greedy algorithm. His work carried out in the field of Discrete mathematics brings together such families of science as Node and Sierpinski triangle.

Between 2017 and 2021, his most popular works were:

  • Kirchhoff index as a measure of edge centrality in weighted networks: nearly linear time algorithms (13 citations)
  • Consensus in Self-Similar Hierarchical Graphs and Sierpiński Graphs: Convergence Speed, Delay Robustness, and Coherence (12 citations)
  • Extended Corona Product as an Exactly Tractable Model for Weighted Heterogeneous Networks (12 citations)

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

  • Quantum mechanics
  • Mathematical analysis
  • Statistics

Zhongzhi Zhang mainly focuses on Complex network, Centrality, Vertex, Discrete mathematics and Graph. Zhongzhi Zhang interconnects Consensus dynamics, Norm and Statistical physics in the investigation of issues within Complex network. His Statistical physics research integrates issues from Weighted network, Upper and lower bounds, Coherence and Degree distribution.

His Vertex research includes elements of Vertex cover, Independence number, Scale-free network and Computation. Discrete mathematics and Sierpinski triangle are commonly linked in his work. His Sampling research incorporates elements of Hitting time and Random walk.

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

Attack vulnerability of scale-free networks due to cascading failures

Jianwei Wang;Lili Rong;Liang Zhang;Zhongzhi Zhang.
Physica A-statistical Mechanics and Its Applications (2008)

197 Citations

A deterministic small-world network created by edge iterations

Zhongzhi Zhang;Lili Rong;Chonghui Guo.
Physica A-statistical Mechanics and Its Applications (2006)

148 Citations

High-dimensional Apollonian networks

Zhongzhi Zhang;Francesc Comellas;Guillaume Fertin;Lili Rong.
Journal of Physics A (2006)

111 Citations

Exact solution for mean first-passage time on a pseudofractal scale-free web.

Zhongzhi Zhang;Yi Qi;Shuigeng Zhou;Wenlei Xie.
Physical Review E (2009)

109 Citations

High dimensional random Apollonian networks

Zhongzhi Zhang;Lili Rong;Francesc Comellas.
Physica A-statistical Mechanics and Its Applications (2006)

101 Citations

Standard random walks and trapping on the Koch network with scale-free behavior and small-world effect.

Zhongzhi Zhang;Shuigeng Zhou;Wenlei Xie;Lichao Chen.
Physical Review E (2009)

100 Citations

Maximal planar scale-free Sierpinski networks with small-world effect and power law strength-degree correlation

Zhongzhi Zhang;Shuigeng Zhou;Lujun Fang;Jihong Guan.
EPL (2007)

97 Citations

Random walks on weighted networks.

Zhongzhi Zhang;Tong Shan;Guanrong Chen.
Physical Review E (2013)

90 Citations

Epidemic spreading with nonlinear infectivity in weighted scale-free networks

Xiangwei Chu;Zhongzhi Zhang;Jihong Guan;Shuigeng Zhou.
Physica A-statistical Mechanics and Its Applications (2011)

85 Citations

Evolving Apollonian networks with small-world scale-free topologies

Zhongzhi Zhang;Lili Rong;Shuigeng Zhou.
Physical Review E (2006)

82 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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