14 citations as recorded by crossref.

1. An updated aerosol simulation in the Community Earth System Model (v2.1.3): dust and marine aerosol emissions and secondary organic aerosol formation Y. Wang et al. 10.5194/gmd-17-7995-2024
2. Quantifying the contributions of natural and anthropogenic dust sources in Shanxi Province, northern China C. Xu et al. 10.1016/j.chemosphere.2023.140280
3. Impact of Molecular Chlorine Production from Aerosol Iron Photochemistry on Atmospheric Oxidative Capacity in North China Q. Chen et al. 10.1021/acs.est.4c02534
4. Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
5. A Computational Perspective on the Chemical Reaction of HFO-1234zc with the OH Radical in the Gas Phase and in the Presence of Mineral Dust G. Manonmani et al. 10.1021/acs.jpca.2c03229
6. Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind J. Wang et al. 10.3390/atmos13010108
7. Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al. 10.1038/s41612-024-00873-1
8. Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
9. Investigation of the influence of mineral dust on airborne particulate matter during the COVID-19 epidemic in spring 2020 over China L. Liang et al. 10.1016/j.apr.2022.101424
10. Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions M. Qiu et al. 10.5194/acp-22-10551-2022
11. Spatiotemporal variation in soil degradation and economic damage caused by wind erosion in Northwest China H. Zhao et al. 10.1016/j.jenvman.2022.115121
12. Emission, transport, deposition, chemical and radiative impacts of mineral dust during severe dust storm periods in March 2021 over East Asia L. Liang et al. 10.1016/j.scitotenv.2022.158459
13. Using machine learning to quantify drivers of aerosol pollution trend in China from 2015 to 2022 Y. Ji et al. 10.1016/j.apgeochem.2023.105614
14. Spatiotemporal trends and impact factors of PM<sub>2.5</sub> and O<sub>3</sub> pollution in major cities in China during 2015–2020 Y. Zhang et al. 10.1360/TB-2021-0767