A new inexact alternating directions method for monotone variational inequalities B He, LZ Liao, D Han, H Yang Mathematical Programming 92, 103-118, 2002 | 480 | 2002 |

A note on the alternating direction method of multipliers D Han, X Yuan Journal of Optimization Theory and Applications 155, 227-238, 2012 | 227 | 2012 |

Competition and efficiency of private toll roads F Xiao, H Yang, D Han Transportation Research Part B: Methodological 41 (3), 292-308, 2007 | 147 | 2007 |

Linear rate convergence of the alternating direction method of multipliers for convex composite programming D Han, D Sun, L Zhang Mathematics of Operations Research 43 (2), 622-637, 2018 | 126 | 2018 |

Solving non-additive traffic assignment problems: a descent method for co-coercive variational inequalities D Han, HK Lo European Journal of Operational Research 159 (3), 529-544, 2004 | 118 | 2004 |

Local linear convergence of the alternating direction method of multipliers for quadratic programs D Han, X Yuan SIAM Journal on numerical analysis 51 (6), 3446-3457, 2013 | 101 | 2013 |

The multi-class, multi-criterion traffic equilibrium and the efficiency of congestion pricing D Han, H Yang Transportation Research Part E: Logistics and Transportation Review 44 (5 …, 2008 | 101 | 2008 |

Conditions for strong ellipticity of anisotropic elastic materials D Han, HH Dai, L Qi Journal of Elasticity 97, 1-13, 2009 | 89 | 2009 |

Conditions for strong ellipticity and M-eigenvalues L Qi, HH Dai, D Han Frontiers of Mathematics in China 4, 349-364, 2009 | 89 | 2009 |

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 | 86 | 2009 |

Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints K Guo, DR Han, TT Wu International Journal of Computer Mathematics 94 (8), 1653-1669, 2017 | 85 | 2017 |

On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function X Cai, D Han, X Yuan Computational Optimization and Applications 66, 39-73, 2017 | 78 | 2017 |

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 | 78 | 2014 |

Modified Goldstein-Levitin-Polyak projection method for asymmetric strongly monotone variational inequalities BS He, H Yang, Q Meng, DR Han Journal of Optimization Theory and Applications 112 (1), 129, 2002 | 72 | 2002 |

Efficiency of the plate-number-based traffic rationing in general networks D Han, H Yang, X Wang Transportation Research Part E: Logistics and Transportation Review 46 (6 …, 2010 | 69 | 2010 |

Two new self-adaptive projection methods for variational inequality problems D Han, HK Lo Computers & Mathematics with Applications 43 (12), 1529-1537, 2002 | 67 | 2002 |

A new accuracy criterion for approximate proximal point algorithms D Han, B He Journal of Mathematical Analysis and Applications 263 (2), 343-354, 2001 | 66 | 2001 |

Linear convergence of the alternating direction method of multipliers for a class of convex optimization problems WH Yang, D Han SIAM journal on Numerical Analysis 54 (2), 625-640, 2016 | 64 | 2016 |

New ALS methods with extrapolating search directions and optimal step size for complex-valued tensor decompositions Y Chen, D Han, L Qi IEEE Transactions on Signal Processing 59 (12), 5888-5898, 2011 | 55 | 2011 |

The direct extension of ADMM for three-block separable convex minimization models is convergent when one function is strongly convex X Cai, D Han, X Yuan Optimization Online 229, 230, 2014 | 52 | 2014 |