53 citations as recorded by crossref.

1. Response of winter fine particulate matter concentrations to emission and meteorology changes in North China M. Gao et al. https://doi.org/10.5194/acp-16-11837-2016
2. The impact of monthly variation of the Pacific–North America (PNA) teleconnection pattern on wintertime surface-layer aerosol concentrations in the United States J. Feng et al. https://doi.org/10.5194/acp-16-4927-2016
3. Implications of RCP emissions on future PM2.5 air quality and direct radiative forcing over China K. Li et al. https://doi.org/10.1002/2016JD025623
4. Recent increase of surface particulate matter concentrations in the Seoul Metropolitan Area, Korea H. Kim et al. https://doi.org/10.1038/s41598-017-05092-8
5. Influences of El Niño Modoki event 1994/1995 on aerosol concentrations over southern China J. Feng et al. https://doi.org/10.1002/2015JD023659
6. Interannual variation, decadal trend, and future change in ozone outflow from East Asia J. Zhu et al. https://doi.org/10.5194/acp-17-3729-2017
7. Aerosol and boundary-layer interactions and impact on air quality Z. Li et al. https://doi.org/10.1093/nsr/nwx117
8. The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. https://doi.org/10.1016/j.atmosenv.2020.118080
9. Attributing meteorological contributions to wintertime PM2.5 in China across synoptic weather patterns using machine learning Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.109019
10. The Different Impacts of Emissions and Meteorology on PM2.5 Changes in Various Regions in China: A Case Study W. Zhang et al. https://doi.org/10.3390/atmos13020222
11. Effects of 2010–2045 climate change on ozone levels in China under a carbon neutrality scenario: key meteorological parameters and processes L. Kang et al. https://doi.org/10.5194/acp-25-3603-2025
12. Impacts of East Asian summer and winter monsoons on interannual variations of mass concentrations and direct radiative forcing of black carbon over eastern China Y. Mao et al. https://doi.org/10.5194/acp-17-4799-2017
13. Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan F. Cheng & C. Hsu https://doi.org/10.1038/s41598-019-43104-x
14. Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. https://doi.org/10.5194/acp-20-14787-2020
15. Sensitivity of the simulated CO2 concentration to inter-annual variations of its sources and sinks over East Asia Y. Fu et al. https://doi.org/10.1016/j.accre.2020.03.001
16. Inter-annual variability in fine particulate matter pollution over China during 2013–2018: Role of meteorology X. Hou et al. https://doi.org/10.1016/j.atmosenv.2019.116842
17. A typical weather pattern for ozone pollution events in North China C. Gong & H. Liao https://doi.org/10.5194/acp-19-13725-2019
18. Meteorology-driven PM2.5 interannual variability over East Asia C. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166911
19. Implications of East Asian summer and winter monsoons for interannual aerosol variations over central-eastern China X. Cheng et al. https://doi.org/10.1016/j.atmosenv.2016.01.037
20. Impacts of meteorological parameters and emissions on decadal, interannual, and seasonal variations of atmospheric black carbon in the Tibetan Plateau Y. Mao & H. Liao https://doi.org/10.1016/j.accre.2016.09.006
21. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. https://doi.org/10.3390/rs13142842
22. Assessing the Impacts of Climate Change on Meteorology and Air Stagnation in China Using a Dynamical Downscaling Method A. Hu et al. https://doi.org/10.3389/fenvs.2022.894887
23. What factors control the trend of increasing AAOD over the United States in the last decade? L. Zhang et al. https://doi.org/10.1002/2016JD025472
24. Trend and Interannual Variations of Reactive Nitrogen Deposition in China During 2008–2017 and the Roles of Anthropogenic Emissions and Meteorological Conditions M. Ma et al. https://doi.org/10.1029/2022JD037489
25. Variability of Major Aerosol Types in China Classified Using AERONET Measurements L. Zhang & J. Li https://doi.org/10.3390/rs11202334
26. Chemical composition of ambient PM2. 5 over China and relationship to precursor emissions during 2005–2012 G. Geng et al. https://doi.org/10.5194/acp-17-9187-2017
27. Warming of mid-latitude North Atlantic Sea surface temperature strengthens the daily variability of winter PM2.5 in eastern China S. Zhang et al. https://doi.org/10.1088/1748-9326/ad6a28
28. Contribution of Atmospheric Diffusion Conditions to the Recent Improvement in Air Quality in China X. Wang et al. https://doi.org/10.1038/srep36404
29. Numerical Modeling of Topography-Modulated Dust Aerosol Distribution and Its Influence on the Onset of East Asian Summer Monsoon H. Sun & X. Liu https://doi.org/10.1155/2016/6951942
30. A Comparison of Meteorology-Driven Interannual Variations of Surface Aerosol Concentrations in the Eastern United States, Eastern China, and Europe J. Feng et al. https://doi.org/10.2151/sola.2016-031
31. Composited analyses of the chemical and physical characteristics of co-polluted days by ozone and PM2.5 over 2013–2020 in the Beijing–Tianjin–Hebei region H. Dai et al. https://doi.org/10.5194/acp-23-23-2023
32. Severe winter haze days in the Beijing–Tianjin–Hebei region from 1985 to 2017 and the roles of anthropogenic emissions and meteorology R. Dang & H. Liao https://doi.org/10.5194/acp-19-10801-2019
33. Simulated contrasting influences of two La Niña Modoki events on aerosol concentrations over eastern China J. Feng et al. https://doi.org/10.1002/2016JD026175
34. Decadal trend and interannual variation of outflow of aerosols from East Asia: Roles of variations in meteorological parameters and emissions Y. Yang et al. https://doi.org/10.1016/j.atmosenv.2014.11.004
35. Summertime nitrate aerosol in the upper troposphere and lower stratosphere over the Tibetan Plateau and the South Asian summer monsoon region Y. Gu et al. https://doi.org/10.5194/acp-16-6641-2016
36. Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China Y. Wang et al. https://doi.org/10.5194/acp-15-13585-2015
37. Interannual variability of tropospheric trace gases and aerosols: The role of biomass burning emissions A. Voulgarakis et al. https://doi.org/10.1002/2014JD022926
38. Seasonal Variations of Aerosol Optical Depth over East China and India in Relationship to the Asian Monsoon Circulation F. Ma & Z. Guan https://doi.org/10.1007/s13351-018-7171-1
39. Simulation of the interannual variations of tropospheric ozone over China: Roles of variations in meteorological parameters and anthropogenic emissions S. Lou et al. https://doi.org/10.1016/j.atmosenv.2015.08.081
40. Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia Y. Kang et al. https://doi.org/10.1016/j.isprsjprs.2021.11.016
41. Summer ozone pollution in China affected by the intensity of Asian monsoon systems Y. Zhou et al. https://doi.org/10.1016/j.scitotenv.2022.157785
42. Air stagnation and its impact on air quality during winter in Sichuan and Chongqing, southwestern China T. Liao et al. https://doi.org/10.1016/j.scitotenv.2018.04.122
43. Effects of transboundary PM2.5 transported from China on the regional PM2.5 concentrations in South Korea: A spatial panel-data analysis M. Jun et al. https://doi.org/10.1371/journal.pone.0281988
44. A new indicator on the impact of large-scale circulation on wintertime particulate matter pollution over China B. Jia et al. https://doi.org/10.5194/acp-15-11919-2015
45. Impacts of meteorological parameters and emissions on decadal and interannual variations of black carbon in China for 1980–2010 Y. Mao et al. https://doi.org/10.1002/2015JD024019
46. Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: response to clean air actions H. Li et al. https://doi.org/10.5194/acp-19-11485-2019
47. Correlations between PM2.5 and Ozone over China and Associated Underlying Reasons J. Zhu et al. https://doi.org/10.3390/atmos10070352
48. Regional meteorological patterns for heavy pollution events in Beijing T. You et al. https://doi.org/10.1007/s13351-017-6143-1
49. Long-term trends and variations in haze-related weather conditions in north China during 1980–2018 based on emission-weighted stagnation intensity J. Feng et al. https://doi.org/10.1016/j.atmosenv.2020.117830
50. Characterization and source apportionment of black carbon over a valley glacier at transitional climatic zone of the central-western Himalaya I. Karakoti et al. https://doi.org/10.1007/s00704-022-04313-z
51. Two pathways of how remote SST anomalies drive the interannual variability of autumnal haze days in the Beijing–Tianjin–Hebei region, China J. Wang et al. https://doi.org/10.5194/acp-19-1521-2019
52. The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. https://doi.org/10.1126/sciadv.adh2688
53. Causes of the unexpected slowness in reducing winter PM2.5 for 2014–2018 in Henan Province X. Chen et al. https://doi.org/10.1016/j.envpol.2022.120928