10 citations as recorded by crossref.

1. Vertical ozone formation mechanisms resulting from increased oxidation on the mountainside of Mount Tai, China W. Wu et al. 10.1093/pnasnexus/pgae347
2. Machine learning integrated PMF model reveals influencing factors of ozone pollution in a coal chemical industry city at the Jiangsu-Shandong-Henan-Anhui boundary C. Wang et al. 10.1016/j.atmosenv.2024.120916
3. VOCs-driven ozone extremes during dry and wet heatwaves in the Jiangsu–Shandong–Henan–Anhui Boundary: Integrating meteorological forcings and SHAP interpretation C. Wang et al. 10.1016/j.atmosres.2025.108396
4. Global Estimates of Daily Gapless Atmospheric XCH4 Concentrations From Satellite and Reanalysis Data During 2003–2020 Y. Qu et al. 10.1109/TGRS.2025.3593486
5. Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning Q. He et al. 10.1021/acs.est.4c02926
6. Discrepant Global Surface Ozone Responses to Emission- and Heatwave-Induced Regime Shifts C. Tao et al. 10.1021/acs.est.4c08422
7. Investigating the Role of Microclimate and Microorganisms in the Deterioration of Stone Heritage: The Case of Rupestrian Church from Jac, Romania D. Ilieș et al. 10.3390/app14188136
8. The spatial diversity of secondary organic carbon aerosols at the city level: insights from explainable machine learning X. Xu et al. 10.1016/j.atmosenv.2025.121522
9. A Systematic Review on Atmospheric Ozone Pollution in a Typical Peninsula Region of North China: Formation Mechanism, Spatiotemporal Distribution, Source Apportionment, and Health and Ecological Effects M. Zhang et al. 10.1007/s40726-024-00338-2
10. Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration N. Wang et al. 10.1038/s41612-025-01181-y