11 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.
2. Trends of inorganic sulfur and nitrogen species at an urban site in western Canada (2004–2018) H. Wang & L. Zhang
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
4. Spatio-temporal long short-term memory neural network with seasonal-trend decomposition for ambient air pollutant forecasting R. Zhang et al.
5. Study of the Dynamical Relationships between PM2.5 and PM10 in the Caribbean Area Using a Multiscale Framework T. Plocoste et al.
6. 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.
7. Source apportionment of ozone and fine particulate matter in the United States for 2016 and 2028 Y. Hu et al.
8. 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.
9. An Empirical Mode Decomposition for Establishing Spatiotemporal Air Quality Trends in Shandong Province, China H. Wu et al.
10. A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions H. Yang et al.
11. Understanding the drivers of PM2.5 concentrations in Chinese cities: A comprehensive study of anthropogenic and environmental factors M. Nizamani et al.