1.) Supajaidee, N., Chutsagulprom, N., Moonchai, S., An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation, Algorithms, 2024, -. 2.) Kongsanun, C., Chutsagulprom, N., Moonchai, S., Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function, Mathematics, 2024, -. 3.) Baisad, K., Chutsagulprom, N., Moonchai, S., A Non-Linear Trend Function for Kriging with External Drift Using Least Squares Support Vector Regression, Mathematics, 2023, -. 4.) Chutsagulprom, N., Chaisee, K., Wongsaijai, B., Inkeaw, P., Oonariya, C., Spatial interpolation methods for estimating monthly rainfall distribution in Thailand, Theoretical and Applied Climatology, 2022, 317-328. 5.) Moonchai, S., Chutsagulprom, N., Semiparametric semivariogram modeling with a scaling criterion for node spacing: A case study of solar radiation distribution in Thailand, Mathematics, 2020, 1-16. 6.) Moonchai, S., Chutsagulprom, N., Short-term forecasting of renewable energy consumption: Augmentation of a modified grey model with a Kalman filter, Applied Soft Computing Journal, 2020, -. 7.) Chustagulprom, N., Reich, S., Reinhardt, M., A hybrid ensemble transform particle filter for nonlinear and spatially extended dynamical systems, SIAM-ASA Journal on Uncertainty Quantification, 2016, 592-608.