Coupled variational image decomposition and restoration model for blurred cartoon-plus-texture images with missing pixels MK Ng, X Yuan, W Zhang IEEE Transactions on Image Processing 22 (6), 2233-2246, 2013 | 63 | 2013 |

An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing D Han, X Yuan, W Zhang Mathematics of Computation 83 (289), 2263-2291, 2014 | 60 | 2014 |

A self-adaptive projection method for solving the multiple-sets split feasibility problem W Zhang, D Han, Z Li Inverse problems 25 (11), 115001, 2009 | 60 | 2009 |

Patterned fabric inspection and visualization by the method of image decomposition MK Ng, HYT Ngan, X Yuan, W Zhang IEEE Transactions on Automation Science and Engineering 11 (3), 943-947, 2014 | 56 | 2014 |

A customized proximal point algorithm for convex minimization with linear constraints B He, X Yuan, W Zhang Computational Optimization and Applications 56 (3), 559-572, 2013 | 42 | 2013 |

An ADM-based splitting method for separable convex programming D Han, X Yuan, W Zhang, X Cai Computational Optimization and Applications 54 (2), 343-369, 2013 | 30 | 2013 |

A partial splitting augmented Lagrangian method for low-patch-rank image decomposition D Han, W Kong, W Zhang Journal of Mathematical Imaging and Vision 51 (1), 171-194, 2015 | 19 | 2015 |

A partial splitting augmented Lagrangian method for low patch-rank image decomposition D Han, W Kong, W Zhang Journal of Mathematical Imaging and Vision 51 (1), 145-160, 2015 | 19 | 2015 |

A sequential updating scheme of the Lagrange multiplier for separable convex programming. Y Dai, D Han, X Yuan, W Zhang Math. Comput. 86 (303), 315-343, 2017 | 17 | 2017 |

A self-adaptive projection-type method for nonlinear multiple-sets split feasibility problem Z Li, D Han, W Zhang Inverse Problems in Science and Engineering 21 (1), 155-170, 2013 | 16 | 2013 |

An efficient simultaneous method for the constrained multiple-sets split feasibility problem W Zhang, D Han, X Yuan Computational Optimization and Applications 52 (3), 825-843, 2012 | 15 | 2012 |

A variational model for multiplicative structured noise removal P Escande, P Weiss, W Zhang Journal of Mathematical Imaging and Vision 57 (1), 43-55, 2017 | 12 | 2017 |

Structure tensor based analysis of cells and nuclei organization in tissues WX Zhang, J Fehrenbach, A Desmaison, V Lobjois, B Ducommun, ... IEEE Transaction on Medical Imaging 35 (1), 294-306, 2016 | 11 | 2016 |

A modified alternating projection based prediction–correction method for structured variational inequalities W Zhang, D Han, S Jiang Applied Numerical Mathematics 83, 12-21, 2014 | 10 | 2014 |

A new alternating direction method for co-coercive variational inequality problems W Zhang, D Han Computers & Mathematics with Applications 57 (7), 1168-1178, 2009 | 10 | 2009 |

Point-spread function reconstruction in ground-based astronomy by l 1-l p model RH Chan, X Yuan, W Zhang JOSA A 29 (11), 2263-2271, 2012 | 8 | 2012 |

A phase model for point spread function estimation in ground-based astronomy RH Chan, XM Yuan, WX Zhang Science China Mathematics 56 (12), 2701-2710, 2013 | 7 | 2013 |

Lattice-based patterned fabric inspection by using total variation and sparsity with low-rank representations MK Ng, HYT Ngan, X Yuan, W Zhang SIAM J. Imaging Sci., 2017 | 4 | 2017 |

Relaxed augmented Lagrangian-based proximal point algorithms for convex optimization with linear constraints Y Shen, W Zhang, B He Journal of Industrial & Management Optimization 10 (3), 743, 2014 | 4 | 2014 |

An efficient Peaceman–Rachford splitting method for constrained TGV-shearlet-based MRI reconstruction T Wu, W Zhang, DZW Wang, Y Sun Inverse Problems in Science and Engineering 27 (1), 115-133, 2019 | 2 | 2019 |