H
Huiqiu Lin
Researcher at East China University of Science and Technology
Publications - 95
Citations - 1052
Huiqiu Lin is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Spectral radius & Eigenvalues and eigenvectors. The author has an hindex of 16, co-authored 78 publications receiving 729 citations. Previous affiliations of Huiqiu Lin include East China Normal University.
Papers
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Extremal spectral results related to spanning trees of signed complete graphs
Dan Li,Huiqiu Lin,Jixiang Meng +2 more
TL;DR: In this paper , the authors give upper bounds on the least distance eigenvalue of a signed graph Σ with diameter at least 2, which implies a result proved by Lin originally conjectured by Aouchiche and Hansen.
Eigenvalues of signed graphs
Dan Li,Huiqiu Lin,Jixiang Meng +2 more
TL;DR: In this article , the authors characterized the extremal signed graph with maximum λ 1 (A(Σ)) and minimum λ n(A( Σ)) among (Kn,T −) where T is a spanning tree, and gave upper bounds on the least distance eigenvalue of signed graphs with diameter at least 2.
Extremal spectral results of planar graphs without vertex-disjoint cycles
TL;DR: In this article , it was shown that the extremal spectral graph of planar graphs with sufficiently large order $n is a planar graph for which the maximum size and maximum spectral radius over all vertices of the graph is at most Ω(n, 2C_4).
Journal ArticleDOI
Corrigendum to “Colorings and spectral radius of digraphs” [Discrete Math. 339 (1) (2016) 327–332]
S.W. Drury,Huiqiu Lin +1 more
TL;DR: TheDigraphs that have the minimum and second minimum spectral radius among all strongly connected digraphs with given order and dichromatic number are determined.
Posted Content
Spectral conditions for the existence of specified paths and cycles in graphs
TL;DR: In this article, the authors give sharp bounds on the least eigenvalue of graphs without given pathes or cycles and determine the extremal graphs, and give spectral conditions for the existence of specified paths and cycles in graphs.