| Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race X Hou, S Gao, Q Li, Y Kang, N Chen, K Chen, J Rao, JS Ellenberg, ... Proceedings of the National Academy of Sciences 118 (24), e2020524118, 2021 | 146 | 2021 |
| Asymptotic-preserving schemes for multiscale hyperbolic and kinetic equations J Hu, S Jin, Q Li Handbook of Numerical Analysis 18, 103-129, 2017 | 84 | 2017 |
| Ensemble Kalman inversion: mean-field limit and convergence analysis Z Ding, Q Li Statistics and computing 31, 1-21, 2021 | 52 | 2021 |
| Uniform regularity for linear kinetic equations with random input based on hypocoercivity Q Li, L Wang SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1193-1219, 2017 | 52 | 2017 |
| State-specific projection of COVID-19 infection in the United States and evaluation of three major control measures S Chen, Q Li, S Gao, Y Kang, X Shi Scientific reports 10 (1), 22429, 2020 | 48* | 2020 |
| Exponential Runge–Kutta for the inhomogeneous Boltzmann equations with high order of accuracy Q Li, L Pareschi Journal of Computational Physics 259, 402-420, 2014 | 45 | 2014 |
| A BGK‐penalization‐based asymptotic‐preserving scheme for the multispecies Boltzmann equation S Jin, Q Li Numerical Methods for Partial Differential Equations 29 (3), 1056-1080, 2013 | 41 | 2013 |
| Ensemble Kalman sampler: Mean-field limit and convergence analysis Z Ding, Q Li SIAM Journal on Mathematical Analysis 53 (2), 1546-1578, 2021 | 40 | 2021 |
| Overparameterization of deep ResNet: zero loss and mean-field analysis Z Ding, S Chen, Q Li, SJ Wright Journal of machine learning research 23 (48), 1-65, 2022 | 38 | 2022 |
| Numerical methods for plasma physics in collisional regimes G Dimarco, Q Li, L Pareschi, B Yan Journal of Plasma Physics 81 (1), 305810106, 2015 | 38 | 2015 |
| Inverse problems for the stationary transport equation in the diffusion scaling RY Lai, Q Li, G Uhlmann SIAM Journal on Applied Mathematics 79 (6), 2340-2358, 2019 | 36 | 2019 |
| Beyond expectations: residual dynamic mode decomposition and variance for stochastic dynamical systems MJ Colbrook, Q Li, RV Raut, A Townsend Nonlinear Dynamics 112 (3), 2037-2061, 2024 | 32 | 2024 |
| Dynamical low-rank integrator for the linear Boltzmann equation: error analysis in the diffusion limit Z Ding, L Einkemmer, Q Li SIAM Journal on Numerical Analysis 59 (4), 2254-2285, 2021 | 29 | 2021 |
| Exploring the locally low dimensional structure in solving random elliptic PDEs TY Hou, Q Li, P Zhang Multiscale Modeling & Simulation 15 (2), 661-695, 2017 | 28 | 2017 |
| Diffusion approximations and domain decomposition method of linear transport equations: asymptotics and numerics Q Li, J Lu, W Sun Journal of Computational Physics 292, 141-167, 2015 | 28 | 2015 |
| Local well-posedness of Vlasov–Poisson–Boltzmann equation with generalized diffuse boundary condition H Chen, C Kim, Q Li Journal of Statistical Physics 179 (2), 535-631, 2020 | 25 | 2020 |
| Online learning in optical tomography: a stochastic approach K Chen, Q Li, JG Liu Inverse Problems 34 (7), 075010, 2018 | 25 | 2018 |
| Stability of stationary inverse transport equation in diffusion scaling K Chen, Q Li, L Wang Inverse Problems 34 (2), 025004, 2018 | 25 | 2018 |
| A convergent method for linear half-space kinetic equations Q Li, J Lu, W Sun ESAIM: Mathematical Modelling and Numerical Analysis 51 (5), 1583-1615, 2017 | 24 | 2017 |
| Implicit asymptotic preserving method for linear transport equations Q Li, L Wang Communications in Computational Physics 22 (1), 157-181, 2017 | 23 | 2017 |
ZHIYAN DINGPostdoc, UC-BerkeleyVerified email at math.berkeley.edu
