scispace - formally typeset
X

Xueliang Li

Researcher at Nankai University

Publications -  202
Citations -  3624

Xueliang Li is an academic researcher from Nankai University. The author has contributed to research in topics: Connectivity & Graph power. The author has an hindex of 29, co-authored 186 publications receiving 3241 citations. Previous affiliations of Xueliang Li include Qinghai Normal University.

Papers
More filters
Posted Content

Rainbow connections of graphs -- A survey

Xueliang Li, +1 more
- 30 Jan 2011 - 
TL;DR: The concept of Rainbow Connection was introduced by Chartrand et al. in 2008 as discussed by the authors, and quite a lot papers have been published about it, and a survey of the results and papers that dealt with it can be found here.
Book

Rainbow Connections of Graphs

Xueliang Li, +1 more
TL;DR: This chapter discusses the motivation and definitions for rainbow connection number, and some graph classes, for dense and sparse graphs, and graph operations, an upper bound for strong Rainbow connection number.
Journal ArticleDOI

Rainbow Connections of Graphs: A Survey

TL;DR: This survey attempts to bring together most of the results and papers that dealt with the concept of rainbow connection, including (strong) rainbow connection number, rainbow k-connectivity, k-rainbow index, rainbow vertex-connection number, algorithms and computational complexity.
Journal ArticleDOI

Hermitian-adjacency matrices and Hermitian energies of mixed graphs

TL;DR: The Hermitian-adjacency matrix as mentioned in this paper is a complex adjacency matrix of a mixed graph, which is a Hermitians matrix and called the Hermitia-Adjacency Matrix.
Book

Generalized Connectivity of Graphs

Xueliang Li, +1 more
TL;DR: This book enables graduate students to understand and master a segment of graph theory and combinatorial optimization and researchers in graph theory, combinatorics, combinatorsial optimization, probability, computer science, discrete algorithms, complexity analysis, network design, and the information transferring models will find this book useful in their studies.