10 citations as recorded by crossref.

1. Assessing the NO and SO2 pollution impacts on the Δ3-carene photooxidation mechanisms Y. Zhao et al. https://doi.org/10.1016/j.envpol.2026.128185
2. Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. https://doi.org/10.1016/j.atmosenv.2024.120896
3. Quantitative relationships between physicochemical properties of organic carbon from coal combustion and heterogeneous photooxidation of SO2 to sulfates S. Yang et al. https://doi.org/10.1016/j.jhazmat.2025.139132
4. Nowcasting and forecasting urban air pollution with meteorological and wind profile data: A framework for Smart City Digital Twins J. Wei et al. https://doi.org/10.1016/j.uclim.2026.102937
5. Spatial–temporal distribution and variation of atmospheric NO2 dry deposition in the Yellow River Basin from 2015 to 2023 Z. Rao et al. https://doi.org/10.1007/s10661-025-14948-w
6. Artificial neural network modeling for predicting PM10, PM2.5, NOX, and SO2 in coal mining areas A. Mishra et al. https://doi.org/10.1007/s12145-025-01922-w
7. High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121495
8. Observation-Based Diagnostics of Reactive Nitrogen Recycling through HONO Heterogenous Production: Divergent Implications for Ozone Production and Emission Control K. Chong et al. https://doi.org/10.1021/acs.est.3c07967
9. Exploring SO2 Photooxidation to Sulfates on Organic Carbon from PM2.5: Kinetics, Mechanism, and Dependence on Physicochemical Properties H. Yang et al. https://doi.org/10.1021/acsestair.6c00047
10. Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China B. Wu et al. https://doi.org/10.1016/j.atmosenv.2024.120347