36 citations as recorded by crossref.

1. 基于WRF-Chem/DART的硫酸盐化学反应速率同化研究 丛. 黄 et al. 10.1360/SSTe-2023-0057
2. Unveiling the Role of Carbonate Radical Anions in Dust‐Driven SO2 Oxidation Y. Liu et al. 10.1029/2023JD040017
3. Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
4. Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
5. Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
6. A novel pathway of atmospheric sulfate formation through carbonate radicals Y. Liu et al. 10.5194/acp-22-9175-2022
7. Incorporation and improvement of a heterogeneous chemistry mechanism in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on secondary inorganic aerosol and PM2.5 simulations in Middle-Eastern China Z. Liu et al. 10.1016/j.scitotenv.2022.157530
8. Significant formation of sulfate aerosols contributed by the heterogeneous drivers of dust surface T. Wang et al. 10.5194/acp-22-13467-2022
9. Key Factors Determining the Formation of Sulfate Aerosols Through Multiphase Chemistry—A Kinetic Modeling Study Based on Beijing Conditions T. Wang et al. 10.1029/2022JD038382
10. Improvement and Uncertainties of Global Simulation of Sulfate Concentration and Radiative Forcing in CESM2 W. Ge et al. 10.1029/2022JD037623
11. Aerosol water content enhancement leads to changes in the major formation mechanisms of nitrate and secondary organic aerosols in winter over the North China Plain C. Chen et al. 10.1016/j.envpol.2021.117625
12. A Novel Hybrid Machine Learning Method (OR-ELM-AR) Used in Forecast of PM2.5 Concentrations and Its Forecast Performance Evaluation G. Lu et al. 10.3390/atmos12010078
13. Strategies towards PM2.5 attainment for non-compliant cities in China: A case study H. Ling et al. 10.1016/j.jenvman.2021.113529
14. Study on the assimilation of the sulphate reaction rates based on WRF-Chem/DART C. Huang et al. 10.1007/s11430-023-1153-9
15. Improvement of inorganic aerosol component in PM2.5 by constraining aqueous-phase formation of sulfate in cloud with satellite retrievals: WRF-Chem simulations T. Sha et al. 10.1016/j.scitotenv.2021.150229
16. Characteristics of air pollution episodes influenced by biomass burning pollution in Shanghai, China S. Tong et al. 10.1016/j.atmosenv.2020.117756
17. Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO<sub>2</sub> in CESM2 W. Ge et al. 10.5194/acp-21-16093-2021
18. Recommendations on benchmarks for photochemical air quality model applications in China — NO2, SO2, CO and PM10 H. Zhai et al. 10.1016/j.atmosenv.2023.120290
19. Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter Q. Wu et al. 10.3390/atmos12050578
20. Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
21. PM2.5 and O3 relationships affected by the atmospheric oxidizing capacity in the Yangtze River Delta, China M. Qin et al. 10.1016/j.scitotenv.2021.152268
22. Secondary PM2.5 dominates aerosol pollution in the Yangtze River Delta region: Environmental and health effects of the Clean air Plan N. Li et al. 10.1016/j.envint.2022.107725
23. Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM<sub>2.5</sub> and chemical species L. Huang et al. 10.5194/acp-21-2725-2021
24. Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation L. Li et al. 10.1016/j.scitotenv.2020.139282
25. Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts L. Huang et al. 10.1016/j.scitotenv.2021.147935
26. Response of PM2.5 chemical composition to the emission reduction and meteorological variation during the COVID-19 lockdown Y. Gong et al. 10.1016/j.chemosphere.2024.142844
27. Heterogeneous interactions between SO<sub>2</sub> and organic peroxides in submicron aerosol S. Wang et al. 10.5194/acp-21-6647-2021
28. The combined effects of heterogeneous chemistry and aerosol-radiation interaction on severe haze simulation by atmospheric chemistry model in Middle-Eastern China Z. Liu et al. 10.1016/j.atmosenv.2023.119729
29. Wintertime Formation of Large Sulfate Particles in China and Implications for Human Health Q. Zhang et al. 10.1021/acs.est.3c05645
30. Hourly organic tracers-based source apportionment of PM2.5 before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions S. Wang et al. 10.1016/j.atmosenv.2022.119308
31. Air pollutant variations in Suzhou during the 2019 novel coronavirus (COVID-19) lockdown of 2020: High time-resolution measurements of aerosol chemical compositions and source apportionment H. Wang et al. 10.1016/j.envpol.2020.116298
32. Ammonium nitrate promotes sulfate formation through uptake kinetic regime Y. Liu et al. 10.5194/acp-21-13269-2021
33. Estimation of secondary PM<sub>2.5</sub> in China and the United States using a multi-tracer approach H. Zhang et al. 10.5194/acp-22-5495-2022
34. Bias in ammonia emission inventory and implications on emission control of nitrogen oxides over North China Plain Q. Zhang et al. 10.1016/j.atmosenv.2019.116869
35. Estimation of interannual trends of ammonia emissions from agriculture in Jiangsu Province from 2000 to 2017 J. HUANG et al. 10.1080/16742834.2020.1736499
36. Efficient control of atmospheric sulfate production based on three formation regimes J. Xue et al. 10.1038/s41561-019-0485-5