Yu Li

Dr. Yu Li

Northeast Forestry University, Harbin, Heilongjiang, China
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2019 in Applied Numerical Mathematics
Verified
Journal Article
Closed access
JZJingjun Zhao
Jingjun Zhao
YLYu Li
Yu Li
YXYang Xu
Yang Xu

1 June 2019 in Applied Mathematics and Computation
Verified
Journal Article
Closed access
JZJingjun Zhao
Jingjun Zhao
YLYu Li
Yu Li
YXYang Xu
Yang Xu

16 March 2022 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
YZYanming Zhang
Yanming Zhang
YFYan Fan
Yan Fan
YLYu Li
Yu Li

3 February 2025 in Computational and Applied Mathematics
Verified
Journal Article
Closed access
PDF file
YZYanming Zhang
Yanming Zhang
YLYu Li
Yu Li
YYYuexin Yu
Yuexin Yu
WWWansheng Wang
Wansheng Wang

8 June 2021 in Journal of Applied Mathematics and Computing
Verified
Journal Article
Closed access
PDF file
FWfen yu wei
fen yu wei
YGYing Guo
Ying Guo
YLYu Li
Yu Li

11 July 2025 in Fractal and Fractional
Verified
Journal Article
Open access
PDF file
PJPenglin Jiang
Penglin Jiang
YLYu Li
Yu Li
This paper presents a high-order structure-preserving difference scheme for the nonlinear space fractional sine-Gordon equation with damping, employing the triangular scalar auxiliary variable approach. The original equation is reformulated into an equivalent system that satisfies a modified energy conservation or dissipation law, significantly reducing the computational complexity of nonlinear terms. Temporal discretization is achieved using a second-order difference method, while spatial discretization utilizes a simple and easily implementable discrete approximation for the fractional Laplacian operator. The boundedness and convergence of the proposed numerical scheme under the maximum norm are rigorously analyzed, demonstrating its adherence to discrete energy conservation or dissipation laws. Numerical experiments validate the scheme’s effectiveness, structure-preserving properties, and capability for long-time simulations for both one- and two-dimensional problems. Additionally, the impact of the parameter ε on error dynamics is investigated.