| A review on longitudinal data analysis with random forest J Hu, S Szymczak Briefings in Bioinformatics 24 (2), bbad002, 2023 | 188 | 2023 |
| Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data J Hu, C Li, S Wang, T Li, H Zhang Human genomics 15, 1-10, 2021 | 116 | 2021 |
| High-dimensional minimum variance portfolio estimation based on high-frequency data TT Cai, J Hu, Y Li, X Zheng Journal of Econometrics 214 (2), 482-494, 2020 | 61 | 2020 |
| Spline-lasso in high-dimensional linear regression J Guo, J Hu, BY Jing, Z Zhang Journal of the American Statistical Association 111 (513), 288-297, 2016 | 39 | 2016 |
| Super‐variants identification for brain connectivity T Li, J Hu, S Wang, H Zhang Human Brain Mapping 42 (5), 1304-1312, 2021 | 14 | 2021 |
| Supervariants identification for breast cancer J Hu, T Li, S Wang, H Zhang Genetic Epidemiology 44 (8), 934-947, 2020 | 10 | 2020 |
| Quantum annealing via path-integral Monte Carlo with data augmentation J Hu, Y Wang Journal of Computational and Graphical Statistics 30 (2), 284-296, 2020 | 10 | 2020 |
| Super-taxon in human microbiome are identified to be associated with colorectal cancer W Dai, C Li, T Li, J Hu, H Zhang BMC bioinformatics 23 (1), 243, 2022 | 6 | 2022 |
| Evaluation of network-guided random forest for disease gene discovery J Hu, S Szymczak BioData Mining 17 (1), 10, 2024 | 3 | 2024 |
| Evaluation of network-guided random forest for disease gene discovery J Hu, S Szymczak arXiv preprint arXiv:2308.01323, 2023 | | 2023 |
| Tree‐Based Methods for Statistical Learning in R. Brandon M. Greenwell (2022). Boca Raton, FL: CRC Press. 404 pp.,£ 59.99. ISBN 978‐0‐367‐53246‐8 J Hu Biometrical Journal 64 (8), 1500-1501, 2022 | | 2022 |
| A review on longitudinal data analysis with random forest in precision medicine J Hu, S Szymczak arXiv preprint arXiv:2208.04112, 2022 | | 2022 |
| Statistical Aspects of Stochastic Optimization Algorithms J Hu The University of Wisconsin-Madison, 2019 | | 2019 |
| On some problems in high-dimensional regression J Hu Hong Kong University of Science and Technology, 2013 | | 2013 |
