| Interaction Pursuit in High-Dimensional Multi-response Regression via Distance Correlation Y Kong, D Li, Y Fan, J Lv The Annals of Statistics 45 (2), 897-922, 2017 | 75 | 2017 |
| Innovated Interaction Screening for High-Dimensional Nonlinear Classification Y Fan, Y Kong, D Li, Z Zheng The Annals of Statistics 43 (3), 1243-1272, 2015 | 71 | 2015 |
| High-dimensional interaction detection with false sign rate control D Li, Y Kong, Y Fan, J Lv Journal of Business & Economic Statistics 40 (3), 1234-1245, 2021 | 44* | 2021 |
| % ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research HQ Gu, D Li, C Liu, ZZ Rao Annals of Translational Medicine 6 (16), 2018 | 34 | 2018 |
| Empirical Likelihood for Generalized Linear Models with Longitudinal Data D Li, J Pan Journal of Multivariate Analysis 114, 63–73, 2013 | 30 | 2013 |
| Recovering the graphical structures via knockoffs Z Zheng, J Zhou, X Guo, D Li Procedia Computer Science 129, 201-207, 2018 | 11 | 2018 |
| Solar power forecasting with model selection analysis RF Widjaja, H Panamtash, Q Zhou, D Li 2018 Clemson University Power Systems Conference (PSC), 1-6, 2018 | 9 | 2018 |
| A kernel-type estimator of a quantile function under randomly truncated data Y Zhou, G Wu, D Li Acta Mathematica Scientia 26 (4), 585-594, 2006 | 8 | 2006 |
| Reproducible learning in large-scale graphical models J Zhou, Y Li, Z Zheng, D Li Journal of Multivariate Analysis 189, 104934, 2022 | 5 | 2022 |
| (Em)powering the Underdog: How Power States Enhance Referral Intention-Behavior Consistency for Underdog Entrepreneurs Q Chen, Y He, M Hu, D Li Journal of Business Research 169, 114300, 2023 | 3 | 2023 |
| Reproducible feature selection in high-dimensional accelerated failure time models Y Dong, D Li, Z Zheng, J Zhou Statistics & Probability Letters 181, 109275, 2021 | 3 | 2021 |
| Parallel integrative learning for large-scale multi-response regression with incomplete outcomes R Dong, D Li, Z Zheng Computational Statistics & Data Analysis 160, 107243, 2021 | 3 | 2021 |
| Bayesian Aerosol Retrieval-Based PM2.5 Estimation through Hierarchical Gaussian Process Models J Zhang, D Li, Y Xia, Q Liao Mathematics 10 (16), 2878, 2022 | 2 | 2022 |
| CoxKnockoff: Controlled Feature Selection for the Cox Model Using Knockoffs D Li, J Yu, H Zhao Stat 12 (1), e607, 2023 | 1 | 2023 |
| Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension D Li, Y Kong, D Zerom Manuscript, Under review, 2023 | 1 | 2023 |
| Supplementary material to “Interaction pursuit in high-dimensional multi-response regression via distance correlation Y Kong, D Li, Y Fan, J Lv | 1 | 2015 |
| Reproducible Learning for Accelerated Failure Time Models via Deep Knockoffs J Yu, D Li, L Luo, H Zhao Communications in Statistics - Theory and Methods, to appear (Published …, 2023 | | 2023 |
| Measuring Prediction Accuracy for Expectile Regression F Zhang, C Fan, D Li Manuscript, 2023 | | 2023 |
| Semiparametric Estimation of Mean and Variance in Generalized Estimating Equations D Li, Y Bao, J Pan Manuscript, Under review, 2023 | | 2023 |
| Recent Advances in Big Data Analytics D Li, Y Kong, Z Zheng, J Pan The Palgrave Handbook of Operations Research, 805-834, 2022 | | 2022 |
Yinfei KongAssociate Professor, College of Business & Economics, California State University FullertonVerified email at fullerton.edu
