| Network vector autoregression X Zhu, R Pan, G Li, Y Liu, H Wang | 222 | 2017 |
| Network quantile autoregression X Zhu, W Wang, H Wang, WK Härdle Journal of econometrics 212 (1), 345-358, 2019 | 101 | 2019 |
| Least-square approximation for a distributed system X Zhu, F Li, H Wang Journal of Computational and Graphical Statistics 30 (4), 1004-1018, 2021 | 59 | 2021 |
| Grouped network vector autoregression X Zhu, R Pan Statistica Sinica 30 (3), 1437-1462, 2020 | 57 | 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 | 51 | 2020 |
| Community network auto-regression for high-dimensional time series EY Chen, J Fan, X Zhu Journal of Econometrics 235 (2), 1239-1256, 2023 | 43 | 2023 |
| Portal nodes screening for large scale social networks X Zhu, X Chang, R Li, H Wang Journal of econometrics 209 (2), 145-157, 2019 | 29 | 2019 |
| Two-mode network autoregressive model for large-scale networks D Huang, F Wang, X Zhu, H Wang Journal of Econometrics 216 (1), 203-219, 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 | 26 | 2018 |
| Simultaneous estimation and group identification for network vector autoregressive model with heterogeneous nodes X Zhu, G Xu, J Fan Journal of Econometrics, 105564, 2023 | 23 | 2023 |
| Group network hawkes process G Fang, G Xu, H Xu, X Zhu, Y Guan Journal of the American Statistical Association 119 (547), 2328-2344, 2024 | 22 | 2024 |
| Network functional varying coefficient model X Zhu, Z Cai, Y Ma Journal of the American Statistical Association 117 (540), 2074-2085, 2022 | 20 | 2022 |
| Logistic regression with network structure X Zhang, R Pan, G Guan, X Zhu, H Wang Statistica Sinica 30 (2), 673-693, 2020 | 12 | 2020 |
| Nonconcave penalized estimation in sparse vector autoregression model X Zhu | 11 | 2020 |
| SUBSAMPLING AND JACKKNIFING S Wu, X Zhu, H Wang Statistica Sinica 33 (3), 2041-2064, 2023 | 9 | 2023 |
| 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 | 9 | 2022 |
| 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 8 (3), 163-185, 2024 | 7 | 2024 |
| Feature screening for network autoregression model D Huang, X Zhu, R Li, H Wang Statistica Sinica 31, 1239, 2021 | 7 | 2021 |
| Graphical assistant grouped network autoregression model: a Bayesian nonparametric recourse Y Ren, X Zhu, X Lu, G Hu Journal of Business & Economic Statistics 42 (1), 49-63, 2024 | 5 | 2024 |
| 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 | 5 | 2023 |
Hansheng WangGuanghua School of Management, Peking UniversityVerified email at gsm.pku.edu.cn
