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Xiao-yan Tang

Researcher at East China Normal University

Publications -  59
Citations -  1962

Xiao-yan Tang is an academic researcher from East China Normal University. The author has contributed to research in topics: Soliton & Korteweg–de Vries equation. The author has an hindex of 22, co-authored 57 publications receiving 1746 citations. Previous affiliations of Xiao-yan Tang include Shanghai Jiao Tong University & Ruhr University Bochum.

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Localized excitations in (2+1)-dimensional systems.

TL;DR: By means of a special variable separation approach, a common formula with some arbitrary functions has been obtained for some suitable physical quantities of various (2+1)-dimensional models such as the Davey-Stewartson (DS) model, the Nizhnik-Novikov-Veselov (NNV) system, asymmetric DS equation, dispersive long wave equation, Broer-Kaup-Kupershmidt system, long wave-short wave interaction model
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Solitary, explosive, and periodic solutions of the quantum Zakharov-Kuznetsov equation and its transverse instability

TL;DR: By employing the quantum hydrodynamic model and the reductive perturbation technique, a quantum Zakharov-Kuznetsov (QZK) equation was derived for finite but small amplitude ion-acoustic waves in a quantum magnetoplasma as discussed by the authors.
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A vector potential KdV equation and vector Ito equation: soliton solutions, bilinear Bäcklund transformations and Lax pairs

TL;DR: In this article, a vector potential KdV equation and vector Ito equation are proposed based on their bilinear forms and soliton solutions expressed by Pfaffians are obtained.
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Coupled KdV equations derived from two-layer fluids

TL;DR: In this paper, some types of coupled Korteweg de-Vries (KdV) equations are derived from a two-layer fluid system and the derived models are classified by means of the Painleve test.
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Coupled KdV equations derived from atmospherical dynamics

TL;DR: In this article, the authors derived coupled Korteweg de-Vries (KdV) equations from an atmospheric dynamical system and classified the derived models via Painlev\'e test.