Challenges of big data analysis J Fan, F Han, H Liu National science review 1 (2), 293-314, 2014 | 1792 | 2014 |

High-dimensional semiparametric Gaussian copula graphical models H Liu, F Han, M Yuan, J Lafferty, L Wasserman The Annals of Statistics 40 (4), 2293-2326, 2012 | 630 | 2012 |

A data-adaptive sum test for disease association with multiple common or rare variants F Han, W Pan Human heredity 70 (1), 42-54, 2010 | 378 | 2010 |

Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging A Eloyan, J Muschelli, MB Nebel, H Liu, F Han, T Zhao, AD Barber, S Joel, ... Frontiers in systems neuroscience 6, 61, 2012 | 161 | 2012 |

A direct estimation of high dimensional stationary vector autoregressions F Han, H Lu, H Liu Journal of Machine Learning Research, 2015 | 147 | 2015 |

Joint estimation of multiple graphical models from high dimensional time series H Qiu, F Han, H Liu, B Caffo Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016 | 121 | 2016 |

Transelliptical graphical models H Liu, F Han, C Zhang Advances in neural information processing systems 25, 2012 | 105 | 2012 |

Genome-wide profiling of multiple histone methylations in olfactory cells: further implications for cellular susceptibility to oxidative stress in schizophrenia S Kano, C Colantuoni, F Han, Z Zhou, Q Yuan, A Wilson, Y Takayanagi, ... Molecular psychiatry 18 (7), 740-742, 2013 | 92 | 2013 |

Distribution-free consistent independence tests via center-outward ranks and signs H Shi, M Drton, F Han Journal of the American Statistical Association 117 (537), 395-410, 2022 | 86* | 2022 |

Distribution-free tests of independence in high dimensions F Han, S Chen, H Liu Biometrika 104 (4), 813-828, 2017 | 82 | 2017 |

Scale-invariant sparse PCA on high-dimensional meta-elliptical data F Han, H Liu Journal of the American Statistical Association 109 (505), 275-287, 2014 | 74 | 2014 |

Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution F Han, H Liu Bernoulli 23 (1), 23, 2017 | 73* | 2017 |

Transition matrix estimation in high dimensional time series F Han, H Liu International conference on machine learning, 172-180, 2013 | 69 | 2013 |

CODA: High dimensional copula discriminant analysis F Han, T Zhao, H Liu The Journal of Machine Learning Research 14 (1), 629-671, 2013 | 69 | 2013 |

On estimation of isotonic piecewise constant signals C Gao, F Han, CH Zhang | 61* | 2020 |

Shell microelectrode arrays (MEAs) for brain organoids Q Huang, B Tang, JC Romero, Y Yang, SK Elsayed, G Pahapale, TJ Lee, ... Science advances 8 (33), eabq5031, 2022 | 57 | 2022 |

On the power of Chatterjee’s rank correlation H Shi, M Drton, F Han Biometrika 109 (2), 317-333, 2022 | 55 | 2022 |

High-dimensional consistent independence testing with maxima of rank correlations M Drton, F Han, H Shi Annals of Statistics 48 (6), 3206-3227, 2020 | 50* | 2020 |

Robust estimation of transition matrices in high dimensional heavy-tailed vector autoregressive processes H Qiu, S Xu, F Han, H Liu, B Caffo International conference on machine learning, 1843-1851, 2015 | 50 | 2015 |

On universally consistent and fully distribution-free rank tests of vector independence H Shi, M Hallin, M Drton, F Han The Annals of Statistics 50 (4), 1933-1959, 2022 | 47* | 2022 |