Jie Shen

Jie Shen

Purdue University

H-index: 76

North America-United States

About Jie Shen

Jie Shen, With an exceptional h-index of 76 and a recent h-index of 50 (since 2020), a distinguished researcher at Purdue University, specializes in the field of numerical analysis, spectral method, computational fluid dynamics, computational materials science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Energy-dissipative evolutionary deep operator neural networks

On a new class of BDF and IMEX schemes for parabolic type equations

Construction of a nontoxic nano-pesticide and its co-application with natural predators for perfect cooperative pest management: an innovative strategy for pesticide reduction

Efficient energy stable numerical schemes for Cahn–Hilliard equations with dynamical boundary conditions

On a class of higher-order length preserving and energy decreasing IMEX schemes for the Landau-Lifshitz equation

A class of IMEX schemes and their error analysis for the Navier–Stokes Cahn–Hilliard system

Higher-Order Energy-Decreasing Exponential Time Differencing Runge-Kutta methods for Gradient Flows

Efficient and stable SAV-based methods for gradient flows arising from deep learning

Jie Shen Information

University

Position

Professor of Mathematics at

Citations(all)

26404

Citations(since 2020)

12719

Cited By

19048

hIndex(all)

76

hIndex(since 2020)

50

i10Index(all)

216

i10Index(since 2020)

171

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Jie Shen Skills & Research Interests

numerical analysis

spectral method

computational fluid dynamics

computational materials science

Top articles of Jie Shen

Title

Journal

Author(s)

Publication Date

Energy-dissipative evolutionary deep operator neural networks

Journal of Computational Physics

Jiahao Zhang

Shiheng Zhang

Jie Shen

Guang Lin

2024/2/1

On a new class of BDF and IMEX schemes for parabolic type equations

arXiv preprint arXiv:2405.00300

Fukeng Huang

Jie Shen

2024/5/1

Construction of a nontoxic nano-pesticide and its co-application with natural predators for perfect cooperative pest management: an innovative strategy for pesticide reduction

Environmental Science: Nano

Shangyuan Wu

Qinhong Jiang

Chunyang Huang

Hailin Yang

Changhua Zhang

...

2024

Efficient energy stable numerical schemes for Cahn–Hilliard equations with dynamical boundary conditions

Journal of Computational Physics

Xinyu Liu

Jie Shen

Nan Zheng

2024/4/24

On a class of higher-order length preserving and energy decreasing IMEX schemes for the Landau-Lifshitz equation

arXiv preprint arXiv:2404.08902

Xiaoli Li

Nan Zheng

Jie Shen

2024/4/13

A class of IMEX schemes and their error analysis for the Navier–Stokes Cahn–Hilliard system

Annals of Mathematical Sciences and Applications

Fukeng Huang

Jie Shen

2024/4

Higher-Order Energy-Decreasing Exponential Time Differencing Runge-Kutta methods for Gradient Flows

arXiv preprint arXiv:2402.15142

Zhaohui Fu

Jie Shen

Jiang Yang

2024/2/23

Efficient and stable SAV-based methods for gradient flows arising from deep learning

Journal of Computational Physics

Ziqi Ma

Zhiping Mao

Jie Shen

2024/5/15

Error analysis of a fully discrete consistent splitting MAC scheme for time dependent Stokes equations

Journal of Computational and Applied Mathematics

Xiaoli Li

Jie Shen

2023/3/15

Efficient SAV–Hermite methods for the nonlinear Dirac equation.

Discrete & Continuous Dynamical Systems-Series B

Zhe Yu

Jie Shen

2023/6/1

An efficient and robust scalar auxialiary variable based algorithm for discrete gradient systems arising from optimizations

SIAM Journal on Scientific Computing

Xinyu Liu

Jie Shen

Xiangxiong Zhang

2023/10/31

A fictitious domain spectral method for solving the Helmholtz equation in exterior domains

Journal of Scientific Computing

Yiqi Gu

Jie Shen

2023/3

Error estimate of a consistent splitting GSAV scheme for the Navier-Stokes equations

Applied Numerical Mathematics

Xiaoli Li

Jie Shen

2023/6/1

A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on cartesian meshes

arXiv preprint arXiv:2310.00226

Xinyu Liu

Jie Shen

Xiangxiong Zhang

2023/9/30

Log orthogonal functions in semi-infinite intervals: approximation results and applications

SIAM Journal on Numerical Analysis

Sheng Chen

Jie Shen

2023/2/28

A variable time-step IMEX-BDF2 SAV scheme and its sharp error estimate for the Navier–Stokes equations

ESAIM: Mathematical Modelling and Numerical Analysis

Yana Di

Yuheng Ma

Jie Shen

Jiwei Zhang

2023/5/1

An Element-wise RSAV Algorithm for Unconstrained Optimization Problems

arXiv preprint arXiv:2309.04013

Shiheng Zhang

Jiahao Zhang

Jie Shen

Guang Lin

2023/9/7

A positivity preserving scheme for Poisson-Nernst-Planck Navier-Stokes equations and its error analysis

arXiv preprint arXiv:2311.17349

Ziyao Yu

Qing Cheng

Jie Shen

Changyou Wang

2023/11/29

A New Class of Efficient SAV Schemes with Lagrange Multipliers for Dissipative Systems with Global Constraints

EAST ASIAN JOURNAL ON APPLIED MATHEMATICS

Yanrong Zhang

Jie Shen

2023/1/9

Bound/positivity preserving SAV schemes for the Patlak-Keller-Segel-Navier-Stokes system

Journal of Computational Physics

Xueling Huang

Jie Shen

2023/5/1

See List of Professors in Jie Shen University(Purdue University)

Co-Authors

H-index: 137
Long-Qing Chen

Long-Qing Chen

Penn State University

H-index: 56
Chun Liu

Chun Liu

Illinois Institute of Technology

H-index: 55
Tao Tang

Tao Tang

Hong Kong Baptist University

H-index: 48
Xiaofeng Yang

Xiaofeng Yang

University of South Carolina

H-index: 43
Juan M. Lopez

Juan M. Lopez

Arizona State University

H-index: 40
Qi Wang

Qi Wang

University of South Carolina

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