| Discussion of "Large covariance estimation by thresholding principal orthogonal complements" CY Tang, Y Fan Journal of the Royal Statistical Society Series B 75, 671, 2013 | 1261* | 2013 |
| Panning for gold: 'model-X' knockoffs for high dimensional controlled variable selection EJ Candès, Y Fan, L Janson, J Lv Journal of the Royal Statistical Society Series B 80, 551-577, 2018 | 1076 | 2018 |
| High dimensional covariance matrix estimation using a factor model J Fan, Y Fan, J Lv Journal of Econometrics 147 (1), 186-197, 2008 | 891 | 2008 |
| High dimensional classification using features annealed independence rules J Fan, Y Fan The Annals of statistics 36 (6), 2605, 2008 | 749 | 2008 |
| Tuning parameter selection in high dimensional penalized likelihood Y Fan, C Tang Journal of the Royal Statistical Society Series B 75, 531-552, 2013 | 488 | 2013 |
| A unified approach to model selection and sparse recovery using regularized least squares J Lv, Y Fan The Annals of Statistics 37 (6A), 3498-3528, 2009 | 461 | 2009 |
| Adaptive robust variable selection J Fan, Y Fan, E Barut The Annals of Statistics 42, 324-351, 2014 | 290 | 2014 |
| Variable selection in linear mixed effects models Y Fan, R Li The Annals of Statistics 40, 2043-2068, 2012 | 214 | 2012 |
| Functional additive regression Y Fan, GM James, P Radchenko The Annals of Statistics 43, 2296-2325, 2015 | 209 | 2015 |
| DeepPINK: reproducible feature selection in deep neural networks Y Lu, Y Fan, J Lv, WS Noble Advances in Neural Information Processing Systems (NeurIPS 2018), 2018 | 204 | 2018 |
| Interaction pursuit in high-dimensional multi-response regression via distance correlation Y Kong, D Li, Y Fan, J Lv The Annals of Statistics 45, 897-922, 2017 | 101 | 2017 |
| Asymptotic properties of high-dimensional random forests CM Chi, P Vossler, Y Fan, J Lv The Annals of Statistics 50, 3415-3438, 2022 | 96 | 2022 |
| High dimensional thresholded regression and shrinkage effect Z Zheng, Y Fan, J Lv Journal of the Royal Statistical Society Series B 76, 627-649, 2014 | 96 | 2014 |
| Innovated interaction screening for high-dimensional nonlinear classification Y Fan, Y Kong, D Li, Z Zheng The Annals of Statistics 43, 1243-1272, 2015 | 83 | 2015 |
| RANK: large-scale inference with graphical nonlinear knockoffs Y Fan, E Demirkaya, G Li, J Lv Journal of the American Statistical Association 115, 362-379, 2020 | 82 | 2020 |
| Asymptotic theory of eigenvectors for random matrices with diverging spikes J Fan, Y Fan, X Han, J Lv Journal of the American Statistical Association 117, 996-1009, 2022 | 76* | 2022 |
| Classification with imperfect training labels TI Cannings, Y Fan, RJ Samworth Biometrika 107, 311-330, 2020 | 75 | 2020 |
| SIMPLE: statistical inference on membership profiles in large networks J Fan, Y Fan, X Han, J Lv Journal of the Royal Statistical Society Series B 84, 630-653, 2022 | 70 | 2022 |
| IPAD: stable interpretable forecasting with knockoffs inference Y Fan, J Lv, M Sharifvaghefi, Y Uematsu Journal of the American Statistical Association 115, 1822-1834, 2020 | 68 | 2020 |
| Innovated scalable efficient estimation in ultra-large Gaussian graphical models Y Fan, J Lv The Annals of Statistics 44, 2098-2126, 2016 | 64 | 2016 |
