10 citations as recorded by crossref.

1. A Novel Hybrid Method to Predict PM2.5 Concentration Based on the SWT-QPSO-LSTM Hybrid Model M. Du et al. 10.1155/2022/7207477
2. Trends of inorganic sulfur and nitrogen species at an urban site in western Canada (2004–2018) H. Wang & L. Zhang 10.1016/j.envpol.2023.122079
3. Multiscale analysis of the dynamic relationship between particulate matter (PM10) and meteorological parameters using CEEMDAN: A focus on “Godzilla” African dust event T. Plocoste 10.1016/j.apr.2021.101252
4. Study of the Dynamical Relationships between PM2.5 and PM10 in the Caribbean Area Using a Multiscale Framework T. Plocoste et al. 10.3390/atmos14030468
5. Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools Y. Lin et al. 10.5194/acp-22-16073-2022
6. Source apportionment of ozone and fine particulate matter in the United States for 2016 and 2028 Y. Hu et al. 10.1016/j.atmosenv.2022.119226
7. Biases in air quality models capturing ozone trends at the urban, regional and national scales: Impacts on Relative Response Factors (RRFs) Y. Hu et al. 10.1016/j.atmosenv.2021.118722
8. An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China H. Wu et al. 10.3390/su132212901
9. A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions H. Yang et al. 10.1016/j.chemosphere.2022.135798
10. Understanding the drivers of PM2.5 concentrations in Chinese cities: A comprehensive study of anthropogenic and environmental factors M. Nizamani et al. 10.1016/j.envpol.2024.124783