12 citations as recorded by crossref.

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3. Bayesian additive regression trees in spatial data analysis with sparse observations C. Kim 10.1080/00949655.2022.2102633
4. Bayesian geostatistical modelling of PM10 and PM2.5 surface level concentrations in Europe using high-resolution satellite-derived products A. Beloconi et al. 10.1016/j.envint.2018.08.041
5. Seasonal evolution of aerosol loading and its vertical distribution in northeastern China from long-term satellite observations and model reanalysis H. Zhao et al. 10.1016/j.atmosenv.2023.119720
6. Estimation of a semiparametric varying-coefficient mixed regressive spatial autoregressive model Y. Sun et al. 10.1016/j.ecosta.2017.05.005
7. Robust Transformer-based model for spatiotemporal PM$$_{2.5}$$ prediction in California W. Tong et al. 10.1007/s12145-023-01138-w
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9. Estimation of High-Resolution Daily Ground-Level PM2.5 Concentration in Beijing 2013–2017 Using 1 km MAIAC AOT Data W. Han et al. 10.3390/app8122624
10. Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017 H. Zhao et al. 10.1016/j.chemosphere.2019.125737
11. Climatological variations in aerosol optical depth and aerosol type identification in Liaoning of Northeast China based on MODIS data from 2002 to 2019 H. Zhao et al. 10.1016/j.scitotenv.2021.146810
12. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. 10.1016/j.earscirev.2023.104634