| Network vector autoregression X Zhu, R Pan, G Li, Y Liu, H Wang | 178 | 2017 |
| Ultrahigh-dimensional multiclass linear discriminant analysis by pairwise sure independence screening R Pan, H Wang, R Li Journal of the American Statistical Association 111 (513), 169-179, 2016 | 72 | 2016 |
| Grouped network vector autoregression X Zhu, R Pan Statistica Sinca 30, 1437-1462, 2020 | 48 | 2020 |
| Multivariate spatial autoregressive model for large scale social networks X Zhu, D Huang, R Pan, H Wang Journal of Econometrics 215 (2), 591-606, 2020 | 35 | 2020 |
| Selection of best keywords: A poisson regression model L Ji, P Rui, W Hansheng Journal of Interactive Advertising 11 (1), 27-35, 2010 | 29 | 2010 |
| Network GARCH model J Zhou, D Li, R Pan, H Wang Statistica Sinica 30 (4), 1723-1740, 2020 | 27 | 2020 |
| Network linear discriminant analysis W Cai, G Guan, R Pan, X Zhu, H Wang Computational Statistics & Data Analysis 117, 32-44, 2018 | 24 | 2018 |
| A naive least squares method for spatial autoregression with covariates Y Ma, R Pan, T Zou, H Wang Statistica Sinica 30 (2), 653-672, 2020 | 13 | 2020 |
| Logistic regression with network structure X Zhang, R Pan, G Guan, X Zhu, H Wang Statistica Sinica 30, 673-693, 2020 | 11 | 2020 |
| A note on distributed quantile regression by pilot sampling and one-step updating R Pan, T Ren, B Guo, F Li, G Li, H Wang Journal of Business & Economic Statistics 40 (4), 1691-1700, 2022 | 10 | 2022 |
| Community detection for statistical citation network by d-score T Gao, R Pan, S Wang, Y Yang, Y Zhang Statistics and its Interface 14 (3), 279-294, 2021 | 10 | 2021 |
| Feature Screening for Massive Data Analysis by Subsampling X Zhu, R Pan, S Wu, H Wang Journal of Business & Economic Statistics 40 (4), 1892-1903, 2022 | 8 | 2022 |
| A sequential addressing subsampling method for massive data analysis under memory constraint R Pan, Y Zhu, B Guo, X Zhu, H Wang IEEE Transactions on Knowledge and Data Engineering 35 (9), 9502-9513, 2023 | 6 | 2023 |
| Community detection in attributed collaboration network for statisticians Y Zhang, R Pan, H Wang, H Su Stat 12 (1), e507, 2023 | 5 | 2023 |
| Link prediction for statistical collaboration networks incorporating institutes and research interests X Song, Y Zhang, R Pan, H Wang IEEE Access 10, 104954-104965, 2022 | 4 | 2022 |
| Analysis on utilization of Beijing local roads using taxi GPS data HM Cheng, SY Li, YZ Ning, X Chen, R Pan, ZY Zhang Physica A: Statistical Mechanics and its Applications 545, 123570, 2020 | 4 | 2020 |
| Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model T Gao, J Liu, R Pan, H Wang Expert Systems with Applications 238, 121634, 2024 | 2 | 2024 |
| An EM algorithm for click fraud detection X Zhu, D Huang, R Pan, H Wang Statistics and Its Interface 9, 389-394, 2016 | 2 | 2016 |
| A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques X Li, Y Gao, H Chang, D Huang, Y Ma, R Pan, H Qi, F Wang, S Wu, K Xu, ... Statistical Theory and Related Fields, 1-23, 2024 | 1 | 2024 |
| A matrix completion bootstrap method for estimating scale-free network degree distribution Y Ding, R Pan, Y Zhang, B Zhang Knowledge-Based Systems 277, 110803, 2023 | 1 | 2023 |
Hansheng WangGuanghua School of Management, Peking University在 gsm.pku.edu.cn 的电子邮件经过验证
