Zhang, X., Wang, Y.P., Rayner, P.J. et al. (2021), A small climate-amplifying effect of climate-carbon cycle feedback, Nature Communications, 12, 2952.
Wang, Z. (2019), Monte Carlo Sampling Using Reservoir, Computational Statistics & Data Analysis, 139, 64-74.
Wang, Z. and Zhu, Z. (2019). Spatiotemporal Balanced Sampling Design for Longitudinal Area Survey, Journal of Agriculture, Biological and Environmental Statistics, 24(2), 245-263.
Kim, J.K. and Wang, Z. (2018). Some Sampling Techniques for Big Data Analysis, International Statistics Review, 84(S1), S177-S191.
Wang, Z., Kim J. K. and Yang, S. (2018). Approximate Bayesian Inference under Informative Sampling, Biometrika, 105(1), 91-102.
Yin, S., Wang, Z., Zhu, Z., Zou, X. and Wang, W. (2018). Using Kriging with a Heterogeneous Measurement Error to Improve the Accuracy of Extreme Precipitation Return Level Estimation, Journal of Hydrology, 562, 518-529.
Kim, J.K., Wang, Z., Zhu, Z.and Cruze, N.(2018). Combining survey and non-survey data for improved sub-area prediction using a multi-level model, Journal of Agriculture, Biological and Environmental Statistics, 23(2), 175-189.
Huang, C., Zheng, X., Tail, A. et al. (2014), On using smoothing spline and residual correction to fuse rain gauge observations and remote sensing data, Journal of Hydrology, 508(16), 410-417
Li, T., Zheng, X., Dai, Y. et al. (2014), Mapping near-surface air temperature, pressure, relative humidity and wind speed over Mainland China with high spatiotemporal resolution, Advances in Atmospheric Sciences, 31(5), 1127-1135