Adaptive data analysis via sparse time-frequency representation TY Hou, Z Shi Advances in Adaptive Data Analysis 3 (01n02), 1-28, 2011 | 166 | 2011 |

Data-driven time–frequency analysis TY Hou, Z Shi Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013 | 152 | 2013 |

Data-driven time–frequency analysis TY Hou, Z Shi Applied and Computational Harmonic Analysis 35 (2), 284-308, 2013 | 152 | 2013 |

Low dimensional manifold model for image processing S Osher, Z Shi, W Zhu SIAM Journal on Imaging Sciences 10 (4), 1669-1690, 2017 | 98 | 2017 |

Solitary waves bifurcated from Bloch-band edges in two-dimensional periodic media Z Shi, J Yang Physical Review E 75 (5), 056602, 2007 | 71 | 2007 |

An efficient semi-implicit immersed boundary method for the Navier–Stokes equations TY Hou, Z Shi Journal of Computational Physics 227 (20), 8968-8991, 2008 | 57 | 2008 |

Identification of time‐varying cable tension forces based on adaptive sparse time‐frequency analysis of cable vibrations Y Bao, Z Shi, JL Beck, H Li, TY Hou Structural Control and Health Monitoring 24 (3), e1889, 2017 | 52 | 2017 |

Point integral method for solving poisson-type equations on manifolds from point clouds with convergence guarantees Z Li, Z Shi, J Sun Communications in Computational Physics 22 (1), 228-258, 2017 | 46 | 2017 |

Removing the stiffness of elastic force from the immersed boundary method for the 2D Stokes equations TY Hou, Z Shi Journal of Computational Physics 227 (21), 9138-9169, 2008 | 45 | 2008 |

Weighted nonlocal laplacian on interpolation from sparse data Z Shi, S Osher, W Zhu Journal of Scientific Computing 73 (2), 1164-1177, 2017 | 42 | 2017 |

Deep residual learning and pdes on manifold Z Li, Z Shi arXiv preprint arXiv:1708.05115, 2017 | 38 | 2017 |

Convergence of a data-driven time–frequency analysis method TY Hou, Z Shi, P Tavallali Applied and Computational Harmonic Analysis 37 (2), 235-270, 2014 | 38 | 2014 |

Resnets ensemble via the feynman-kac formalism to improve natural and robust accuracies B Wang, Z Shi, S Osher Advances in Neural Information Processing Systems 32, 2019 | 35 | 2019 |

Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring Y Bao, Z Shi, X Wang, H Li Structural Health Monitoring 17 (4), 823-836, 2018 | 34 | 2018 |

On singularity formation of a 3D model for incompressible Navier–Stokes equations TY Hou, Z Shi, S Wang Advances in Mathematics 230 (2), 607-641, 2012 | 33 | 2012 |

Deep neural nets with interpolating function as output activation B Wang, X Luo, Z Li, W Zhu, Z Shi, SJ Osher arXiv preprint arXiv:1802.00168, 2018 | 32 | 2018 |

Extracting a shape function for a signal with intra-wave frequency modulation TY Hou, Z Shi Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016 | 28 | 2016 |

A convergent point integral method for isotropic elliptic equations on a point cloud Z Li, Z Shi Multiscale Modeling & Simulation 14 (2), 874-905, 2016 | 27* | 2016 |

Convergence of the point integral method for Laplace–Beltrami equation on point cloud Z Shi, J Sun Research in the Mathematical Sciences 4 (1), 1-39, 2017 | 26 | 2017 |

Linear instability of two-dimensional low-amplitude gap solitons near band edges in periodic media Z Shi, J Wang, Z Chen, J Yang Physical Review A 78 (6), 063812, 2008 | 26 | 2008 |