12 citations as recorded by crossref.

1. Assessing terrestrial water storage dynamics and multiple factors driving forces in China from 2005 to 2020 R. Ji et al. 10.1016/j.jenvman.2024.122464
2. A spatiotemporally weighted intelligent method for exploring fine-scale distributions of surface dissolved silicate in coastal seas J. Qi et al. 10.1016/j.scitotenv.2023.163981
3. Exploring Urban Heat Distribution and Thermal Comfort Exposure Using Spatiotemporal Weighted Regression (STWR) R. Chen et al. 10.3390/buildings14061883
4. A SPATIOTEMPORAL-AWARE WEIGHTING SCHEME FOR IMPROVING CLIMATE MODEL ENSEMBLE PREDICTIONS M. Fan et al. 10.1615/JMachLearnModelComput.2022046715
5. How does cultivated land fragmentation affect soil erosion: Evidence from the Yangtze River Basin in China J. Zeng et al. 10.1016/j.jenvman.2024.121020
6. Analysis of wildfires and their extremes via spatial quantile autoregressive model J. Lee et al. 10.1007/s10687-023-00462-0
7. Exploring the spatiotemporal relationship between influenza and air pollution in Fuzhou using spatiotemporal weighted regression model Q. Chen et al. 10.1038/s41598-024-54630-8
8. Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas X. Zou et al. 10.3390/su16083260
9. Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas X. Que et al. 10.1007/s12145-023-01165-7
10. Empirical Analysis of a Super-SBM-Based Framework for Wetland Carbon Stock Safety Assessment L. Chen et al. 10.3390/rs16101678
11. Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted Regression Approach C. Fan et al. 10.3390/ijgi12040151
12. Parallel computing for Fast Spatiotemporal Weighted Regression X. Que et al. 10.1016/j.cageo.2021.104723