A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems S Qin, X Xue IEEE Transactions on Neural Networks and Learning Systems 26 (6), 1149-1160, 2014 | 121 | 2014 |

.A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints S Qin, X Yang, X Xue, J Song IEEE Transactions on Cybernetics(regular paper), 0 | 111* | |

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming S Qin, X Le, J Wang IEEE Transactions on Neural Networks and Learning Systems (regular paper), 0 | 75* | |

A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints N Liu, S Qin Neural Networks 109, 147-158, 2019 | 70 | 2019 |

Global exponential stability of almost periodic solution of delayed neural networks with discontinuous activations S Qin, X Xue, P Wang Information Sciences 220, 367-378, 2013 | 68 | 2013 |

A one-layer recurrent neural network for constrained complex-variable convex optimization S Qin, J Feng, J Song, X Wen, C Xu IEEE transactions on neural networks and learning systems 29 (3), 534-544, 2016 | 66 | 2016 |

Neural network for nonsmooth pseudoconvex optimization with general convex constraints W Bian, L Ma, S Qin, X Xue Neural Networks 101, 1-14, 2018 | 58 | 2018 |

A novel neurodynamic approach to constrained complex-variable pseudoconvex optimization N Liu, S Qin IEEE Transactions on Cybernetics 49 (11), 3946-3956, 2018 | 49 | 2018 |

Global exponential stability and global convergence in finite time of neural networks with discontinuous activations S Qin, X Xue Neural Processing Letters 29, 189-204, 2009 | 38 | 2009 |

Convergence and attractivity of memristor-based cellular neural networks with time delays S Qin, J Wang, X Xue Neural Networks 63, 223-233, 2015 | 37 | 2015 |

A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization S Qin, W Bian, X Xue Neurocomputing 120, 655-662, 2013 | 37 | 2013 |

A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems J Feng, S Qin, F Shi, X Zhao Neural Computing and Applications 30, 3399-3408, 2018 | 36 | 2018 |

A generalized neural network for distributed nonsmooth optimization with inequality constraint W Jia, S Qin, X Xue Neural Networks 119, 46-56, 2019 | 35 | 2019 |

A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem C Xu, Y Chai, S Qin, Z Wang, J Feng Neural Networks 124, 180-192, 2020 | 33 | 2020 |

Neural network for constrained nonsmooth optimization using Tikhonov regularization S Qin, D Fan, G Wu, L Zhao Neural Networks 63, 272-281, 2015 | 33 | 2015 |

A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints N Liu, J Wang, S Qin Neural Networks 147, 1-9, 2022 | 32 | 2022 |

Multistability of almost periodic solution for memristive Cohen-Grossberg neural networks with mixed delays S Qin, Q Ma, J Feng, C Xu IEEE Transactions on Neural Networks and Learning Systems 31 (6), 1914-1926, 2019 | 31 | 2019 |

Complex Zhang neural networks for complex-variable dynamic quadratic programming Q Ma, S Qin, T Jin Neurocomputing 330, 56-69, 2019 | 31 | 2019 |

A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems X Wen, L Luan, S Qin Neural Networks 143, 52-65, 2021 | 29 | 2021 |

Continuous-time algorithm for approximate distributed optimization with affine equality and convex inequality constraints X Jiang, S Qin, X Xue IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (9), 5809-5818, 2019 | 29 | 2019 |