Regularization and variable selection via the elastic net H Zou, T Hastie Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005 | 20886 | 2005 |

The adaptive lasso and its oracle properties H Zou Journal of the American statistical association 101 (476), 1418-1429, 2006 | 8675 | 2006 |

Sparse principal component analysis H Zou, T Hastie, R Tibshirani Journal of computational and graphical statistics 15 (2), 265-286, 2006 | 3893 | 2006 |

Multi-class adaboost J Zhu, H Zou, S Rosset, T Hastie Statistics and Its Interface 2 (3), 349-360, 2009 | 2383* | 2009 |

One-step sparse estimates in nonconcave penalized likelihood models H Zou, R Li Annals of statistics 36 (4), 1509, 2008 | 1451 | 2008 |

On the “degrees of freedom” of the lasso H Zou, T Hastie, R Tibshirani | 1254 | 2007 |

On the adaptive elastic-net with a diverging number of parameters H Zou, HH Zhang Annals of statistics 37 (4), 1733, 2009 | 985 | 2009 |

Composite quantile regression and the oracle model selection theory H Zou, M Yuan | 645 | 2008 |

Strong Oracle Optimality of Folded Concave Penalized Estimation J Fan, L Xue, H Zou Annals of Statistics 42 (3), 819-849, 2014 | 346 | 2014 |

New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models B Kai, R Li, H Zou Annals of statistics 39 (1), 305, 2011 | 338 | 2011 |

The doubly regularized support vector machine L Wang, J Zhu, H Zou Statistica Sinica, 589-615, 2006 | 336 | 2006 |

Combining time series models for forecasting H Zou, Y Yang International journal of Forecasting 20 (1), 69-84, 2004 | 333 | 2004 |

Regularized rank-based estimation of high-dimensional nonparanormal graphical models L Xue, H Zou Annals of Statistics 40 (5), 2541-2571, 2012 | 324 | 2012 |

Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression B Kai, R Li, H Zou Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2010 | 259 | 2010 |

A Fast Unified Algorithm for Solving Group-Lasso Penalized Learning Problems Y Yang, H Zou Statistics and Computing, 2014 | 254 | 2014 |

Hybrid huberized support vector machines for microarray classification and gene selection L Wang, J Zhu, H Zou Bioinformatics 24 (3), 412-419, 2008 | 250 | 2008 |

A Direct Approach to Sparse Discriminant Analysis in Ultra-high Dimensions. Q Mai, H Zou, M Yuan Biometrika 99 (1), 29-42, 2012 | 239 | 2012 |

Positive Definite ℓ1 Penalized Estimation of Large Covariance Matrices* L Xue, S Ma, H Zou Journal of the American Statistical Association, 2012 | 189 | 2012 |

Statistical Foundations of Data Science J Fan, R Li, C Zhang, H Zou | 182 | 2020 |

A selective overview of sparse principal component analysis H Zou, L Xue Proceedings of the IEEE 106 (8), 1311-1320, 2018 | 174 | 2018 |