| Globally hyperbolic regularization of Grad's moment system Z Cai, Y Fan, R Li Communications on pure and applied mathematics 67 (3), 464-518, 2014 | 136 | 2014 |
| Solving electrical impedance tomography with deep learning Y Fan, L Ying Journal of Computational Physics 404, 109119, 2020 | 97 | 2020 |
| Globally hyperbolic regularization of Grad's moment system in one dimensional space Z Cai, Y Fan, R Li Communications in Mathematical Sciences 11 (2), 547-571, 2013 | 95 | 2013 |
| A multiscale neural network based on hierarchical matrices Y Fan, L Lin, L Ying, L Zepeda-Núnez Multiscale Modeling & Simulation 17 (4), 1189-1213, 2019 | 74 | 2019 |
| Model Reduction of Kinetic Equations by Operator Projection Y Fan, J Koellermeier, J Li, R Li, M Torrilhon JOURNAL OF STATISTICAL PHYSICS · SEPTEMBER, 2015 | 69 | 2015 |
| A Framework on Moment Model Reduction for Kinetic Equation Z Cai, Y Fan, R Li SIAM JOURNAL ON APPLIED MATHEMATICS 75 (5), 2001–2023, 2015 | 64 | 2015 |
| BCR-Net: A neural network based on the nonstandard wavelet form Y Fan, CO Bohorquez, L Ying Journal of Computational Physics 384, 1-15, 2019 | 51 | 2019 |
| A multiscale neural network based on hierarchical nested bases Y Fan, J Feliu-Faba, L Lin, L Ying, L Zepeda-Núnez Research in the Mathematical Sciences 6 (2), 21, 2019 | 49 | 2019 |
| On hyperbolicity of 13-moment system Z Cai, Y Fan, R Li Kinetic & Related Models 7 (3), 415 - 432, 2014 | 48 | 2014 |
| Meta-learning pseudo-differential operators with deep neural networks J Feliu-Faba, Y Fan, L Ying Journal of computational physics 408, 109309, 2020 | 47 | 2020 |
| Solving inverse wave scattering with deep learning Y Fan, L Ying arXiv preprint arXiv:1911.13202, 2019 | 31 | 2019 |
| Quantum hydrodynamic model by moment closure of Wigner equation Z Cai, Y Fan, R Li, T Lu, Y Wang Journal of mathematical physics 53 (10), 2012 | 28 | 2012 |
| Fast algorithms for integral formulations of steady-state radiative transfer equation Y Fan, J An, L Ying Journal of Computational Physics 380, 191-211, 2019 | 26 | 2019 |
| Dimension-reduced hyperbolic moment method for the Boltzmann equation with BGK-type collision Z Cai, Y Fan, R Li, Z Qiao Communications in Computational Physics 15 (5), 1368-1406, 2014 | 23 | 2014 |
| Solving optical tomography with deep learning Y Fan, L Ying arXiv preprint arXiv:1910.04756, 2019 | 19 | 2019 |
| Linear stability of hyperbolic moment models for Boltzmann equation Y Di, Y Fan, R Li, L Zheng Numerical Mathematics: Theory, Methods and Applications 10 (2), 255-277, 2017 | 18 | 2017 |
| An entropic Fourier method for the Boltzmann equation Z Cai, Y Fan, L Ying SIAM J. Sci. Comput. 40 (5), A2858–A2882, 2018 | 16* | 2018 |
| Accelerating the convergence of the moment method for the Boltzmann equation using filters Y Fan, J Koellermeier Journal of Scientific Computing 84, 1-28, 2020 | 15 | 2020 |
| A nonlinear moment model for radiative transfer equation in slab geometry Y Fan, R Li, L Zheng Journal of Computational Physics 404, 109128, 2020 | 15 | 2020 |
| Globally hyperbolic moment system by generalized Hermite expansion Y Fan, R Li SCIENTIA SINICA Mathematica 45 (10), 1635-1676, 2015 | 15 | 2015 |
Lexing YingProfessor of Mathematics, Stanford UniversityVerified email at stanford.edu
