| Feature screening via distance correlation learning R Li, W Zhong, L Zhu Journal of the American Statistical Association 107 (499), 1129-1139, 2012 | 843 | 2012 |
| Model-free feature screening for ultrahigh-dimensional data LP Zhu, L Li, R Li, LX Zhu Journal of the American Statistical Association 106 (496), 1464-1475, 2011 | 548 | 2011 |
| A review on dimension reduction Y Ma, L Zhu International Statistical Review 81 (1), 134-150, 2013 | 252 | 2013 |
| A semiparametric approach to dimension reduction Y Ma, L Zhu Journal of the American Statistical Association 107 (497), 168-179, 2012 | 250 | 2012 |
| Dimension reduction in regressions through cumulative slicing estimation LP Zhu, LX Zhu, ZH Feng Journal of the American Statistical Association 105 (492), 1455-1466, 2010 | 194 | 2010 |
| Efficient estimation in sufficient dimension reduction Y Ma, L Zhu Annals of statistics 41 (1), 250, 2013 | 146 | 2013 |
| Sufficient dimension reduction through discretization-expectation estimation L Zhu, T Wang, L Zhu, L Ferré Biometrika 97 (2), 295-304, 2010 | 124 | 2010 |
| Projection correlation between two random vectors L Zhu, K Xu, R Li, W Zhong Biometrika 104 (4), 829-843, 2017 | 105 | 2017 |
| On kernel method for sliced average variance estimation LP Zhu, LX Zhu Journal of Multivariate Analysis 98 (5), 970-991, 2007 | 72 | 2007 |
| An iterative approach to distance correlation-based sure independence screening W Zhong, L Zhu Journal of Statistical Computation and Simulation 85 (11), 2331-2345, 2015 | 68 | 2015 |
| On estimation efficiency of the central mean subspace Y Ma, L Zhu Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014 | 64 | 2014 |
| Nonconcave penalized inverse regression in single-index models with high dimensional predictors LP Zhu, LX Zhu Journal of Multivariate Analysis 100 (5), 862-875, 2009 | 59 | 2009 |
| Doubly robust and efficient estimators for heteroscedastic partially linear single‐index models allowing high dimensional covariates Y Ma, L Zhu Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013 | 58 | 2013 |
| Semiparametric quantile regression with high-dimensional covariates L Zhu, M Huang, R Li Statistica Sinica 22 (4), 1379, 2012 | 54 | 2012 |
| On distribution‐weighted partial least squares with diverging number of highly correlated predictors LP Zhu, LX Zhu Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009 | 53 | 2009 |
| Efficiency loss and the linearity condition in dimension reduction Y Ma, L Zhu Biometrika 100 (2), 371-383, 2013 | 51 | 2013 |
| Regularized quantile regression and robust feature screening for single index models W Zhong, L Zhu, R Li, H Cui Statistica Sinica 26 (1), 69, 2016 | 46 | 2016 |
| Model-free feature screening for ultrahigh dimensional censored regression T Zhou, L Zhu Statistics and Computing 27, 947-961, 2017 | 44 | 2017 |
| Dimension reduction for conditional variance in regressions LP Zhu, LX Zhu Statistica Sinica, 869-883, 2009 | 39 | 2009 |
| 混合指数分布的参数估计 朱利平， 卢一强， 茆诗松 应用概率统计 22 (2), 137-150, 2006 | 36 | 2006 |
Runze LiPenn State UnviersityZweryfikowany adres z psu.edu