10 citations as recorded by crossref.

1. Analysis of the “South-High North-Low” phenomenon of aerosol distribution and its characteristics in the Beijing plain area J. Su et al. https://doi.org/10.1016/j.apr.2025.102863
2. A gradient boosting-based machine learning framework for improving atmospheric visibility numerical prediction C. Han et al. https://doi.org/10.1016/j.atmosres.2026.109012
3. Impacts of reductions in anthropogenic emissions from 2015 to 2024 on PM2.5 and meteorological conditions over China D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121658
4. A satellite-constrained two-stage spatiotemporal framework for disentangling meteorological dynamics and emission footprints of ground-level NO2 M. Guo et al. https://doi.org/10.1016/j.atmosres.2026.109226
5. Constructing the 3D spatial distribution of PM2.5 concentrations during the 2022 Beijing Winter Olympics using LiDAR vertical observation networks and machine learning models Z. Wang et al. https://doi.org/10.1016/j.envint.2025.109875
6. Spatiotemporal characteristics of PM2.5 components in the Beijing-Tianjin-Hebei region and its surrounding areas during the heating seasons from 2018 to 2023 X. Dao et al. https://doi.org/10.1016/j.jclepro.2025.147210
7. Decoding cold-season PM2.5 and its chemical compositions in China's economic powerhouses after the Chinese COVID-19 pandemic lockdown: A national-scale analysis X. Dao et al. https://doi.org/10.1016/j.jclepro.2025.146902
8. Predicting Short-Term Air Quality Index in the Beijing–Tianjin–Hebei Urban Agglomeration: A Comparative Assessment of Linear, Ensemble, and Recurrent Forecasting Models X. Ling et al. https://doi.org/10.3390/atmos17070651
9. Identifying Meteorological and Gaseous Pollutant Factors Across PM2.5 Pollution Levels for Sustainable Air Quality Management in the Beijing–Tianjin–Hebei Region Using CatBoost–SHAP: A 2021–2024 Analysis L. Zeng et al. https://doi.org/10.3390/su18115611
10. CausalHMoE-STFNN: A two-stage causal-inspired spatio-temporal model for multi-pollutant air quality inference H. Chen et al. https://doi.org/10.1016/j.envsoft.2026.107090