Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization Y Chen, S Fomel, J Hu Geophysics 79 (5), V179-V189, 2014 | 314 | 2014 |
-compensated least-squares reverse time migration using low-rank one-step wave extrapolation J Sun, S Fomel, T Zhu, J Hu Geophysics 81 (4), S271-S279, 2016 | 122 | 2016 |
A stochastic Galerkin method for the Boltzmann equation with uncertainty J Hu, S Jin Journal of Computational Physics 315, 150-168, 2016 | 95 | 2016 |
A fast spectral method for the Boltzmann collision operator with general collision kernels IM Gamba, JR Haack, CD Hauck, J Hu SIAM Journal on Scientific Computing 39 (4), B658-B674, 2017 | 82 | 2017 |
Asymptotic-preserving schemes for multiscale hyperbolic and kinetic equations J Hu, S Jin, Q Li Handbook of Numerical Analysis 18, 103-129, 2017 | 75 | 2017 |
Lowrank seismic-wave extrapolation on a staggered grid G Fang, S Fomel, Q Du, J Hu Geophysics 79 (3), T157-T168, 2014 | 60 | 2014 |
A numerical scheme for the quantum Boltzmann equation with stiff collision terms⋆ F Filbet, J Hu, S Jin ESAIM: Mathematical Modelling and Numerical Analysis 46 (2), 443-463, 2012 | 60* | 2012 |
Asymptotic-preserving and positivity-preserving implicit-explicit schemes for the stiff BGK equation J Hu, R Shu, X Zhang SIAM Journal on Numerical Analysis 56 (2), 942-973, 2018 | 51 | 2018 |
An asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation L Einkemmer, J Hu, Y Wang Journal of Computational Physics 439, 110353, 2021 | 50 | 2021 |
A discontinuous Galerkin fast spectral method for the full Boltzmann equation with general collision kernels S Jaiswal, AA Alexeenko, J Hu Journal of Computational Physics 378, 178-208, 2019 | 47 | 2019 |
Uncertainty quantification for kinetic equations J Hu, S Jin Uncertainty quantification for hyperbolic and kinetic equations, 193-229, 2017 | 47 | 2017 |
A fast butterfly algorithm for generalized Radon transforms J Hu, S Fomel, L Demanet, L Ying Geophysics 78 (4), U41-U51, 2013 | 47* | 2013 |
A fully discrete positivity-preserving and energy-dissipative finite difference scheme for Poisson–Nernst–Planck equations J Hu, X Huang Numerische Mathematik 145 (1), 77-115, 2020 | 46 | 2020 |
Fully discrete positivity-preserving and energy-dissipating schemes for aggregation-diffusion equations with a gradient flow structure R Bailo, JA Carrillo, J Hu arXiv preprint arXiv:1811.11502, 2018 | 45 | 2018 |
A stochastic Galerkin method for the Boltzmann equation with multi-dimensional random inputs using sparse wavelet bases R Shu, J Hu, S Jin Numerical Mathematics: Theory, Methods and Applications 10 (2), 465-488, 2017 | 45 | 2017 |
A fast spectral algorithm for the quantum Boltzmann collision operator J Hu, L Ying Communications in Mathematical Sciences 10 (3), 989-999, 2012 | 35 | 2012 |
A Stochastic Galerkin Method for Hamilton--Jacobi Equations with Uncertainty J Hu, S Jin, D Xiu SIAM Journal on Scientific Computing 37 (5), A2246-A2269, 2015 | 34 | 2015 |
An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime L Einkemmer, J Hu, L Ying SIAM Journal on Scientific Computing 43 (5), B1057-B1080, 2021 | 32 | 2021 |
A particle method for the homogeneous Landau equation JA Carrillo, J Hu, L Wang, J Wu Journal of Computational Physics: X 7, 100066, 2020 | 32 | 2020 |
A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: Numerical analysis and exploration J Hu, JG Liu, Y Xie, Z Zhou Journal of Computational Physics 433, 110195, 2021 | 28 | 2021 |