The complete connectome of a learning and memory centre in an insect brain K Eichler, F Li, A Litwin-Kumar, Y Park, I Andrade, CM Schneider-Mizell, ... Nature 548 (7666), 175-182, 2017 | 412 | 2017 |

Scan statistics on enron graphs CE Priebe, JM Conroy, DJ Marchette, Y Park Computational & Mathematical Organization Theory 11, 229-247, 2005 | 411 | 2005 |

Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning JT Vogelstein, Y Park, T Ohyama, RA Kerr, JW Truman, CE Priebe, ... Science 344 (6182), 386-392, 2014 | 270 | 2014 |

Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... The Journal of Machine Learning Research 18 (1), 8393-8484, 2017 | 202 | 2017 |

Community detection and classification in hierarchical stochastic blockmodels V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016 | 144 | 2016 |

A semiparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017 | 115 | 2017 |

Locality statistics for anomaly detection in time series of graphs H Wang, M Tang, Y Park, CE Priebe IEEE Transactions on Signal Processing 62 (3), 703-717, 2013 | 106 | 2013 |

On a two-truths phenomenon in spectral graph clustering CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ... Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019 | 68 | 2019 |

Collaborative computational anatomy: an MRI morphometry study of the human brain via diffeomorphic metric mapping MI Miller, CE Priebe, A Qiu, B Fischl, A Kolasny, T Brown, Y Park, ... Human brain mapping 30 (7), 2132-2141, 2009 | 61 | 2009 |

Anomaly detection in time series of graphs using fusion of graph invariants Y Park, CE Priebe, A Youssef IEEE journal of selected topics in signal processing 7 (1), 67-75, 2012 | 57 | 2012 |

Spectral clustering for divide-and-conquer graph matching V Lyzinski, DL Sussman, DE Fishkind, H Pao, L Chen, JT Vogelstein, ... Parallel Computing 47, 70-87, 2015 | 52 | 2015 |

On estimation and inference in latent structure random graphs A Athreya, M Tang, Y Park, CE Priebe | 40 | 2021 |

Matched filters for noisy induced subgraph detection DL Sussman, Y Park, CE Priebe, V Lyzinski IEEE transactions on pattern analysis and machine intelligence 42 (11), 2887 …, 2019 | 30 | 2019 |

Semiparametric spectral modeling of the Drosophila connectome CE Priebe, Y Park, M Tang, A Athreya, V Lyzinski, JT Vogelstein, Y Qin, ... arXiv preprint arXiv:1705.03297, 2017 | 26 | 2017 |

Iterative denoising for cross-corpus discovery CE Priebe, DJ Marchette, Y Park, EJ Wegman, JL Solka, DA Socolinsky, ... COMPSTAT 2004—Proceedings in Computational Statistics: 16th Symposium Held …, 2004 | 26 | 2004 |

Variability and heritability of mouse brain structure: microscopic MRI atlases and connectomes for diverse strains N Wang, RJ Anderson, DG Ashbrook, V Gopalakrishnan, Y Park, ... Neuroimage 222, 117274, 2020 | 25 | 2020 |

A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference K Levin, A Athreya, M Tang, V Lyzinski, Y Park, CE Priebe arXiv preprint arXiv:1705.09355, 2017 | 25 | 2017 |

Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs CE Priebe, Y Park, DJ Marchette, JM Conroy, J Grothendieck, AL Gorin Computational statistics & data analysis 54 (7), 1766-1776, 2010 | 24 | 2010 |

Semisupervised learning from dissimilarity data MW Trosset, CE Priebe, Y Park, MI Miller Computational statistics & data analysis 52 (10), 4643-4657, 2008 | 23 | 2008 |

Anomaly detection using scan statistics on time series hypergraphs Y Park, C Priebe, D Marchette, A Youssef Link Analysis, Counterterrorism and Security (LACTS) Conference, 9, 2009 | 22 | 2009 |