8 citations as recorded by crossref.

1. Divergent Ozone Predictions in China Under Carbon Neutrality: Why Chemical Mechanisms Disagree X. Weng et al. https://doi.org/10.1021/acs.est.5c10697
2. Concentration-oriented vs. health-oriented strategies: future anthropogenic sectoral emission reductions for PM2.5 and ozone control over eastern China Z. Long et al. https://doi.org/10.1016/j.envpol.2026.128060
3. Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model Y. Ni et al. https://doi.org/10.1021/acs.est.5c11992
4. Comprehensive assessment of ozone tolerance in six Kentucky bluegrass cultivars: insights from growth and physiological responses X. Lv et al. https://doi.org/10.48130/grares-0025-0022
5. A comparative analysis of physiological, biochemical, and molecular responses to elevated ozone identifies specific mechanisms of Kentucky bluegrass resistant cultivar X. Lv et al. https://doi.org/10.1016/j.jes.2025.06.061
6. Future changes in ozone and oxidation capacity in China under the carbon peaking policy: The role of emissions and meteorology A. Shen et al. https://doi.org/10.1016/j.jes.2025.12.033
7. Evaluation of an Australian Regional Climate Modeling System for Air Quality Application K. Cheung et al. https://doi.org/10.3390/cli14020054
8. Educational investment, technological innovation, and atmospheric environmental ffficiency: evidence from SBM-DEA and quantile regression model B. Ji et al. https://doi.org/10.3389/fenvs.2025.1632050