| Mixed multiscale finite element methods using limited global information JE Aarnes, Y Efendiev, L Jiang Multiscale Modeling & Simulation 7 (2), 655-676, 2008 | 107 | 2008 |
| Composition operators from B-alpha to F (p, q, s) LJ Jiang, YZ He KLUWER ACADEMIC PUBL 23 (2), 2003 | 47 | 2003 |
| Method and system for finite volume simulation of flow ID Mishev, O Dubois, L Jiang US Patent 9,134,454, 2015 | 38 | 2015 |
| Analysis of global multiscale finite element methods for wave equations with continuum spatial scales L Jiang, Y Efendiev, V Ginting Applied numerical mathematics 60 (8), 862-876, 2010 | 38 | 2010 |
| Multiscale methods for parabolic equations with continuum spatial scales L Jiang, Y Efendiev, V Ginting Discrete and Continuous Dynamical Systems-B 8 (4), 833-859, 2007 | 31 | 2007 |
| Composition operator on Bers-type spaces W He, L Jiang Acta Mathematica Scientia 22 (3), 404-412, 2002 | 25 | 2002 |
| A reduced order method for Allen–Cahn equations H Song, L Jiang, Q Li Journal of computational and applied mathematics 292, 213-229, 2016 | 24 | 2016 |
| Mixed multiscale finite element methods using approximate global information based on partial upscaling L Jiang, Y Efendiev, II Mishev Computational Geosciences 14, 319-341, 2010 | 23 | 2010 |
| Multiscale model reduction method for Bayesian inverse problems of subsurface flow L Jiang, N Ou Journal of Computational and Applied Mathematics 319, 188-209, 2017 | 22 | 2017 |
| A stochastic dimension reduction multiscale finite element method for groundwater flow problems in heterogeneous random porous media X He, L Jiang, JD Moulton Journal of hydrology 478, 77-88, 2013 | 21 | 2013 |
| Deep learning nonlinear multiscale dynamic problems using Koopman operator M Li, L Jiang Journal of Computational Physics 446, 110660, 2021 | 20 | 2021 |
| Bayesian inference using intermediate distribution based on coarse multiscale model for time fractional diffusion equations L Jiang, N Ou Multiscale Modeling & Simulation 16 (1), 327-355, 2018 | 19 | 2018 |
| Model's sparse representation based on reduced mixed GMsFE basis methods L Jiang, Q Li Journal of Computational Physics 338, 285-312, 2017 | 19 | 2017 |
| A priori estimates for two multiscale finite element methods using multiple global fields to wave equations L Jiang, Y Efendiev Numerical Methods for Partial Differential Equations 28 (6), 1869-1892, 2012 | 18 | 2012 |
| Least-squares mixed generalized multiscale finite element method F Chen, E Chung, L Jiang Computer Methods in Applied Mechanics and Engineering 311, 764-787, 2016 | 17 | 2016 |
| Mixed multiscale finite volume methods for elliptic problems in two-phase flow simulations L Jiang, ID Mishev Communications in Computational Physics 11 (1), 19-47, 2012 | 16 | 2012 |
| A novel variable-separation method based on sparse and low rank representation for stochastic partial differential equations Q Li, L Jiang SIAM Journal on Scientific Computing 39 (6), A2879-A2910, 2017 | 14 | 2017 |
| Reduced multiscale finite element basis methods for elliptic PDEs with parameterized inputs L Jiang, Q Li Journal of Computational and Applied Mathematics 301, 101-120, 2016 | 14 | 2016 |
| A two-stage ensemble Kalman filter based on multiscale model reduction for inverse problems in time fractional diffusion-wave equations Y Ba, L Jiang, N Ou Journal of Computational Physics 374, 300-330, 2018 | 13 | 2018 |
| Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction L Jiang, X Li Journal of Computational Physics 294, 439-461, 2015 | 13 | 2015 |
