Recursive projection twin support vector machine via within-class variance minimization X Chen, J Yang, Q Ye, J Liang Pattern Recognition 44 (10-11), 2643-2655, 2011 | 162 | 2011 |

L1-norm distance linear discriminant analysis based on an effective iterative algorithm Q Ye, J Yang, F Liu, C Zhao, N Ye, T Yin IEEE Transactions on Circuits and Systems for Video Technology, 2018 | 76 | 2018 |

Weighted twin support vector machines with local information and its application Q Ye, C Zhao, S Gao, H Zheng Neural Networks 35, 31-39, 2012 | 71 | 2012 |

Recursive robust least squares support vector regression based on maximum correntropy criterion X Chen, J Yang, J Liang, Q Ye Neurocomputing 97, 63-73, 2012 | 66 | 2012 |

Multi-weight vector projection support vector machines Q Ye, C Zhao, N Ye, Y Chen Pattern Recognition Letters 31 (13), 2006-2011, 2010 | 65 | 2010 |

1-Norm least squares twin support vector machines S Gao, Q Ye, N Ye Neurocomputing 74 (17), 3590-3597, 2011 | 61 | 2011 |

L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector-Plane Clustering Q Ye, H Zhao, Z Li, X Yang, S Gao, T Yin, N Ye IEEE transactions on neural networks and learning systems 29 (9), 4494-4503, 2017 | 57 | 2017 |

Smooth twin support vector regression X Chen, J Yang, J Liang, Q Ye Neural Computing and Applications 21 (3), 505-513, 2012 | 52 | 2012 |

Least squares twin bounded support vector machines based on L1-norm distance metric for classification H Yan, Q Ye, T Zhang, DJ Yu, X Yuan, Y Xu, L Fu Pattern recognition 74, 434-447, 2018 | 48 | 2018 |

Organellar genome assembly methods and comparative analysis of horticultural plants X Wang, F Cheng, D Rohlsen, C Bi, C Wang, Y Xu, S Wei, Q Ye, T Yin, ... Horticulture research 5 (1), 1-13, 2018 | 46 | 2018 |

Localized twin SVM via convex minimization Q Ye, C Zhao, N Ye, X Chen Neurocomputing 74 (4), 580-587, 2011 | 42 | 2011 |

Nonpeaked discriminant analysis for data representation Q Ye, Z Li, L Fu, Z Zhang, W Yang, G Yang IEEE transactions on neural networks and learning systems 30 (12), 3818-3832, 2019 | 40 | 2019 |

Lp-and Ls-norm distance based robust linear discriminant analysis Q Ye, L Fu, Z Zhang, H Zhao, M Naiem Neural Networks 105, 393-404, 2018 | 36 | 2018 |

Feature selection for least squares projection twin support vector machine J Guo, P Yi, R Wang, Q Ye, C Zhao Neurocomputing 144, 174-183, 2014 | 33 | 2014 |

Analysis of the complete mitochondrial genome sequence of the diploid cotton Gossypium raimondii by comparative genomics approaches C Bi, AH Paterson, X Wang, Y Xu, D Wu, Y Qu, A Jiang, Q Ye, N Ye BioMed Research International 2016, 2016 | 31 | 2016 |

Genome-wide identification and characterization of WRKY gene family in Salix suchowensis C Bi, Y Xu, Q Ye, T Yin, N Ye PeerJ 4, e2437, 2016 | 29 | 2016 |

Graph regularized multilayer concept factorization for data representation X Li, X Shen, Z Shu, Q Ye, C Zhao Neurocomputing 238, 139-151, 2017 | 28 | 2017 |

Assembly and comparative analysis of complete mitochondrial genome sequence of an economic plant Salix suchowensis N Ye, X Wang, J Li, C Bi, Y Xu, D Wu, Q Ye PeerJ 5, e3148, 2017 | 26 | 2017 |

Recursive “concave–convex” Fisher linear discriminant with applications to face, handwritten digit and terrain recognition QL Ye, CX Zhao, HF Zhang, XB Chen Pattern Recognition 45 (1), 54-65, 2012 | 24 | 2012 |

Fast orthogonal linear discriminant analysis with application to image classification Q Ye, N Ye, T Yin Neurocomputing 158, 216-224, 2015 | 22 | 2015 |