| Drift-preserving numerical integrators for stochastic Hamiltonian systems C Chen, D Cohen, R D’Ambrosio, A Lang Advances in Computational Mathematics 46, 1-22, 2020 | 52 | 2020 |
| Inverse random source scattering problems in several dimensions G Bao, C Chen, P Li SIAM/ASA Journal on Uncertainty Quantification 4 (1), 1263-1287, 2016 | 48 | 2016 |
| Symplectic Runge--Kutta semidiscretization for stochastic Schrödinger equation C Chen, J Hong SIAM Journal on Numerical Analysis 54 (4), 2569-2593, 2016 | 45 | 2016 |
| Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods C Chen, J Hong, L Zhang Journal of Computational Physics 306, 500-519, 2016 | 38 | 2016 |
| Inverse random source scattering for elastic waves G Bao, C Chen, P Li SIAM Journal on Numerical Analysis 55 (6), 2616-2643, 2017 | 36 | 2017 |
| Inverse random source scattering for the Helmholtz equation in inhomogeneous media M Li, C Chen, P Li Inverse Problems 34 (1), 015003, 2017 | 31 | 2017 |
| Approximation of invariant measure for damped stochastic nonlinear Schrödinger equation via an ergodic numerical scheme C Chen, J Hong, X Wang Potential Analysis 46, 323-367, 2017 | 30 | 2017 |
| Asymptotically-preserving large deviations principles by stochastic symplectic methods for a linear stochastic oscillator C Chen, J Hong, D Jin, L Sun SIAM Journal on Numerical Analysis 59 (1), 32-59, 2021 | 21 | 2021 |
| Convergence of a -scheme to solve the stochastic nonlinear Schrödinger equation with Stratonovich noise C Chen, J Hong, A Prohl Stochastics and Partial Differential Equations: Analysis and Computations 4 …, 2016 | 21 | 2016 |
| Mean-square convergence of a semidiscrete scheme for stochastic Maxwell equations C Chen, J Hong, L Ji SIAM Journal on Numerical Analysis 57 (2), 728-750, 2019 | 19 | 2019 |
| Conservative methods for stochastic differential equations with a conserved quantity C Chen, D Cohen, J Hong arXiv preprint arXiv:1411.1819, 2014 | 19 | 2014 |
| A symplectic discontinuous Galerkin full discretization for stochastic Maxwell equations C Chen SIAM Journal on Numerical Analysis 59 (4), 2197-2217, 2021 | 18 | 2021 |
| Runge--Kutta semidiscretizations for stochastic Maxwell equations with additive noise C Chen, J Hong, L Ji SIAM Journal on Numerical Analysis 57 (2), 702-727, 2019 | 18 | 2019 |
| Large deviations principles for symplectic discretizations of stochastic linear Schrödinger equation C Chen, J Hong, D Jin, L Sun Potential Analysis 59 (3), 971-1011, 2023 | 13 | 2023 |
| Mean-square convergence of a symplectic local discontinuous Galerkin method applied to stochastic linear Schrödinger equation C Chen, J Hong, L Ji IMA Journal of Numerical Analysis 37 (2), 1041-1065, 2017 | 13 | 2017 |
| Stochastic asymptotical regularization for linear inverse problems Y Zhang, C Chen Inverse Problems 39 (1), 015007, 2022 | 12 | 2022 |
| A compact scheme for coupled stochastic nonlinear Schrödinger equations C Chen, J Hong, L Ji, L Kong Communications in Computational Physics 21 (1), 93-125, 2017 | 12 | 2017 |
| Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations C Chen, J Hong, C Sim, K Sonwu Journal of Computational Physics 418, 109599, 2020 | 11 | 2020 |
| CLT for approximating ergodic limit of SPDEs via a full discretization C Chen, T Dang, J Hong, T Zhou Stochastic Processes and their Applications 157, 1-41, 2023 | 7 | 2023 |
| Modified averaged vector field methods preserving multiple invariants for conservative stochastic differential equations C Chen, J Hong, D Jin BIT Numerical Mathematics 60 (4), 917-957, 2020 | 7 | 2020 |
