37 citations as recorded by crossref.

1. Intraseasonal variation and future projection of atmospheric diffusion conditions conducive to extreme haze formation over eastern China W. FENG et al. https://doi.org/10.1080/16742834.2020.1745054
2. Future projections of daily haze-conducive and clear weather conditions over the North China Plain using a perturbed parameter ensemble S. Jain et al. https://doi.org/10.5194/acp-22-7443-2022
3. Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. https://doi.org/10.1021/acs.est.1c08403
4. Asymmetrical Linkages Between Multifrequency Atmospheric Waves and Variations in Winter PM2.5 Concentrations in Northern China During 2013–2019 W. Chang & J. Zhan https://doi.org/10.1029/2019JD031999
5. Observed sensitivities of PM2.5 and O3 extremes to meteorological conditions in China and implications for the future X. Zhang et al. https://doi.org/10.1016/j.envint.2022.107428
6. Changes in concentrations of fine and coarse particles under the CO2-induced global warming D. Yang et al. https://doi.org/10.1016/j.atmosres.2019.104637
7. Modeling PM2.5 and O3 with aerosol feedbacks using WRF/Chem over the Sichuan Basin, southwestern China P. Wang et al. https://doi.org/10.1016/j.chemosphere.2020.126735
8. Augmented Reality (AR) Technology Advancing Climate Science Education: A Case Study of Waste Sorting B. Wang & J. Xie https://doi.org/10.1007/s10956-025-10269-2
9. Distinct responses of PM2.5 and O3 extremes to persistence of weather conditions in eastern China S. Liu et al. https://doi.org/10.1016/j.atmosenv.2023.119923
10. Meteorological factors related to winter severe PM2.5 pollution in China: In perspective of thresholds and relation of occurrence frequency with East Asian trough Y. Li et al. https://doi.org/10.1016/j.apr.2023.102002
11. Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology S. Zhai et al. https://doi.org/10.5194/acp-19-11031-2019
12. Responses of PM2.5 and O3 concentrations to changes of meteorology and emissions in China P. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.01.227
13. Impact of El Niño-Southern Oscillation on Dust Variability during the Spring Season over the Arabian Peninsula Y. Alsubhi & G. Ali https://doi.org/10.3390/atmos15091060
14. Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China J. Schnell et al. https://doi.org/10.1029/2020EF001788
15. Intrinsic atmospheric circulation patterns associated with high PM2.5 concentration days in South Korea during the cold season Y. Jeong et al. https://doi.org/10.1016/j.scitotenv.2022.160878
16. Meteorological Change and Impacts on Air Pollution: Results From North China Z. Xu et al. https://doi.org/10.1029/2020JD032423
17. Air Pollution Zone Migrates South Driven by East Asian Winter Monsoon and Climate Change S. Zhao et al. https://doi.org/10.1029/2021GL092672
18. Possible Link Between Arctic Sea Ice and January PM10 Concentrations in South Korea J. Kim et al. https://doi.org/10.3390/atmos10100619
19. Comment on “Insignificant effect of climate change on winter haze pollution in Beijing” by Shen et al. (2018) R. Liu et al. https://doi.org/10.5194/acp-19-8563-2019
20. Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze J. Wang et al. https://doi.org/10.1038/s41467-020-16683-x
21. Impacts of meteorological conditions on the NASM pollution data assimilation system S. Zhang et al. https://doi.org/10.1016/j.aosl.2024.100586
22. China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002 M. Gao et al. https://doi.org/10.5194/acp-20-1497-2020
23. Secondary aerosol formation in winter haze over the Beijing-Tianjin-Hebei Region, China D. Shang et al. https://doi.org/10.1007/s11783-020-1326-x
24. Spatial source apportionment of airborne coarse particulate matter using PMF-Bayesian receptor model T. Dai et al. https://doi.org/10.1016/j.scitotenv.2024.170235
25. Relative importance of meteorological variables on air quality and role of boundary layer height Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2021.118737
26. Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. https://doi.org/10.1016/j.atmosres.2022.106395
27. The relationship between anticyclonic anomalies in northeastern Asia and severe haze in the Beijing–Tianjin–Hebei region W. Zhong et al. https://doi.org/10.5194/acp-19-5941-2019
28. Separation of meteorological and anthropogenic contributions to major ambient pollutants using an integrated explainable machine learning framework: RMT-PAS H. Ke et al. https://doi.org/10.1016/j.atmosenv.2025.121667
29. Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. https://doi.org/10.1029/2018JD029738
30. Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. https://doi.org/10.1039/D0FD00078G
31. Existence of typical winter atmospheric circulation patterns leading to high PM2.5 concentration days in East Asia Y. Jeong et al. https://doi.org/10.1016/j.envpol.2024.123829
32. Separating emission and meteorological contributions to long-term PM2.5 trends over eastern China during 2000–2018 Q. Xiao et al. https://doi.org/10.5194/acp-21-9475-2021
33. The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin https://doi.org/10.1029/2020GL088548
34. Seasonal and multi-scale difference of the relationship between built-up land landscape pattern and PM2.5 concentration distribution in Nanjing J. Meng et al. https://doi.org/10.1016/j.ecolind.2023.111079
35. Winter particulate pollution severity in North China driven by atmospheric teleconnections J. Li et al. https://doi.org/10.1038/s41561-022-00933-2
36. Three dominant synoptic atmospheric circulation patterns influencing severe winter haze in eastern China S. Zhang et al. https://doi.org/10.5194/acp-22-16017-2022
37. Quasi-Biweekly Oscillation of PM2.5 in Winter over North China and Its Leading Circulation Patterns X. Zhu & C. Yao https://doi.org/10.3390/rs15164069