14 citations as recorded by crossref.

1. Intra-seasonal differences in the atmospheric systems contributing to interannual variations of autumn haze pollution in the North China Plain S. Chen et al.
2. 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
3. Inter‐annual variation of the spring haze pollution over the North China Plain: Roles of atmospheric circulation and sea surface temperature S. Chen et al.
4. Long-term AOD trend assessment over the Eastern Mediterranean region: A comparative study including a new merged aerosol product A. Shaheen et al.
5. An LSTM-based neural network method of particulate pollution forecast in China Y. Chen et al.
6. Dominant synoptic patterns associated with the decay process of PM2.5 pollution episodes around Beijing X. Wang et al.
7. Three-dimensional climatology, trends, and meteorological drivers of global and regional tropospheric type-dependent aerosols: insights from 13 years (2007–2019) of CALIOP observations K. Gui et al.
8. Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017 C. Zhang et al.
9. Distinct evolutions of haze pollution from winter to the following spring over the North China Plain: role of the North Atlantic sea surface temperature anomalies L. Song et al.
10. Change in the dominant atmosphere–ocean systems contributing to spring haze pollution over North China Plain around the mid-1990s S. Chen et al.
11. Long-term planetary boundary layer features and associated PM2.5 pollution anomalies in Beijing during the past 40 years Y. Yan et al.
12. LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion K. Bai et al.
13. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al.
14. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al.