S. Chen, J. Zhao, S. Lee, and S. Kim* (2022) Estimation of relative risk of mortality and economic burden attributable to high temperature in Wuhan, China. Frontiers in Public Health, doi: 10.3389/fpubh.2022.839204.
E. Muhammad, W. Muhammad, I. Ahmad, K.N. Muhammad, S. Chen* (2020) Satellite precipitation product: Applicability and accuracy evaluation in diverse region. Science in China - Series E: Technological Sciences, 63(5): 819-828.
W. Muhammad, S. Muhammad, N. Khan, and S. Chen* (2020) Hydrological drought indexing approach in response to climate and anthropogenic activities. Theoretical and Applied Climatology, 141(3-4): 1401-1413.
S. Zhu, X.G. Luo, S. Chen*, Z.Y. Xu, H.R. Zhang, Z.X., Xiao. (2020) Improved hidden Markov model incorporated with copula for probabilistic seasonal drought forecasting. Journal of Hydrologic Engineering, 25(6): 04020019.
S. Chen, W. Zhong, S. Pan, Q. Xie* and T. Kim* (2020) Comprehensive Drought Assessment Using a Modified Composite Drought index: A Case Study in Hubei Province, China. Water, 12(2): 462.
S. Chen, G. Chung, B. Kim and T. Kim* (2019) Modified analogue forecasting in the hidden Markov framework for meteorological droughts. Science in China - Series E: Technological Sciences, 62(1): 151‒162.
S. Chen, M. Waseem, J. Lee, and T. Kim* (2018) Assessment of probabilistic multi-index drought using a dynamic naïve Bayesian classifier. Water Resources Management, 32:4359-4374.
S. Chen, J. Shin and T. Kim* (2017) Probabilistic forecasting of drought: a hidden Markov model aggregated with the RCP 8.5 precipitation projection. Stochastic Environmental Research and Risk Assessment, 31(5): 1061-1076.
S. Chen, Y. Li, J. Kim, S. Kim* (2017) Bayesian change point analysis for extreme daily precipitation. International Journal of Climatology, 37(7): 3123-3137.
S. Chen, S. Kim and T. Kim* (2017) Spatial change assessment of the observed and projected extreme precipitation via change point detection. Procedia Engineering, doi: 10.1016/j.proeng.2016.07.496, 154: 1359-1367.
S. Chen, Y. Li, J. Shin and T. Kim* (2016) Constructing confidence intervals of extreme rainfall quantiles using Bayesian, bootstrap, and profile likelihood approaches. Science in China - Series E: Technological Sciences, 59(4): 573-585.