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.
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