10 citations as recorded by crossref.

1. Impact of meteorological conditions and reductions in anthropogenic emissions on PM2.5 concentrations in China from 2016 to 2020 Z. Xu et al. 10.1016/j.atmosenv.2023.120265
2. Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 H. Zheng et al. 10.1016/j.envint.2023.108361
3. Daily Local-Level Estimates of Ambient Wildfire Smoke PM2.5 for the Contiguous US M. Childs et al. 10.1021/acs.est.2c02934
4. Predicting Atmospheric Water-Soluble Organic Mass Reversibly Partitioned to Aerosol Liquid Water in the Eastern United States M. El-Sayed et al. 10.1021/acs.est.3c01259
5. An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
6. Constructing transferable and interpretable machine learning models for black carbon concentrations P. Fung et al. 10.1016/j.envint.2024.108449
7. 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
8. Assessment of meteorological and air quality drivers of elevated ambient ozone in Beijing via machine learning approach M. Hassan et al. 10.1007/s11356-023-29665-5
9. Unraveling complex causal processes that affect sustainability requires more integration between empirical and modeling approaches M. Schlüter et al. 10.1073/pnas.2215676120
10. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742