| From sparse to dense functional data and beyond X Zhang, JL Wang | 226 | 2016 |
| Spontaneous neural fluctuations predict decisions to attend JJ Bengson, TA Kelley, X Zhang, JL Wang, GR Mangun Journal of Cognitive Neuroscience 26 (11), 2578-2584, 2014 | 66 | 2014 |
| Time-varying additive models for longitudinal data X Zhang, BU Park, JL Wang Journal of the American Statistical Association 108 (503), 983-998, 2013 | 66 | 2013 |
| Quantifying infinite-dimensional data: Functional data analysis in action K Chen, X Zhang, A Petersen, HG Müller Statistics in Biosciences 9, 582-604, 2017 | 45 | 2017 |
| Varying-coefficient additive models for functional data X Zhang, JL Wang Biometrika 102 (1), 15-32, 2015 | 39 | 2015 |
| A physics-based virtual reality simulation framework for neonatal endotracheal intubation X Xiao, S Zhao, Y Meng, L Soghier, X Zhang, J Hahn 2020 IEEE Conference on virtual reality and 3d user interfaces (vr), 557-565, 2020 | 31 | 2020 |
| An intelligent augmented reality training framework for neonatal endotracheal intubation S Zhao, X Xiao, Q Wang, X Zhang, W Li, L Soghier, J Hahn 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2020 | 24 | 2020 |
| Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach AH Hubbard, X Zhang, S Jastrebski, A Singh, C Schmidt BMC genomics 20, 1-16, 2019 | 23* | 2019 |
| Proximal learning for individualized treatment regimes under unmeasured confounding Z Qi, R Miao, X Zhang Journal of the American Statistical Association, 1-14, 2023 | 22 | 2023 |
| Optimal weighting schemes for longitudinal and functional data X Zhang, JL Wang Statistics & Probability Letters 138, 165-170, 2018 | 21 | 2018 |
| Low-rank covariance function estimation for multidimensional functional data J Wang, RKW Wong, X Zhang Journal of the American Statistical Association 117 (538), 809-822, 2022 | 19 | 2022 |
| Region of interest selection for functional features Q Wang, Y Lu, X Zhang, J Hahn Neurocomputing 422, 235-244, 2021 | 18 | 2021 |
| 3D shape-based body composition inference model using a Bayesian network Y Lu, JK Hahn, X Zhang Journal of Biomedical and Health Informatics 49 (1), 2015-213, 2020 | 17 | 2020 |
| A novel hybrid model for visceral adipose tissue prediction using shape descriptors Q Wang, Y Lu, X Zhang, JK Hahn 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 14 | 2019 |
| Understanding Differences in Types of Opioid Prescriptions Across Time and Space: A Community-Level Analysis TL Anderson, X Zhang, SS Martin, Y Fang, J Li Journal of Drug Issues 49 (2), 405–418, 2019 | 14 | 2019 |
| Off-policy evaluation for episodic partially observable markov decision processes under non-parametric models R Miao, Z Qi, X Zhang Advances in Neural Information Processing Systems 35, 593-606, 2022 | 11 | 2022 |
| Nonparametric operator-regularized covariance function estimation for functional data RKW Wong, X Zhang Computational statistics & data analysis 131, 131-144, 2019 | 11 | 2019 |
| The development of a BMI-guided shape morphing technique and the effects of an individualized figure rating scale on self-perception of body size GM Hudson, Y Lu, X Zhang, J Hahn, JE Zabal, F Latif, J Philbeck European journal of investigation in health, psychology and education 10 (2 …, 2020 | 10 | 2020 |
| Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies X Zhang, W Xue, Q Wang Computational Statistics & Data Analysis 163, 107303, 2021 | 9 | 2021 |
| Pixel-wise body composition prediction with a multi-task conditional generative adversarial network Q Wang, W Xue, X Zhang, F Jin, J Hahn Journal of Biomedical Informatics 120, 103866, 2021 | 8 | 2021 |
