39 citations as recorded by crossref.

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2. Synoptic circulation pattern and boundary layer structure associated with PM2.5 during wintertime haze pollution episodes in Shanghai N. Liu et al. 10.1016/j.atmosres.2019.06.001
3. The characteristics and sources of the aerosols within the nocturnal residual layer over Wuhan, China B. Liu et al. 10.1016/j.atmosres.2020.104959
4. The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
5. Vertical characterization and potential sources of aerosols in different seasons over the Yangtze River Delta using ground-based MAX-DOAS J. Ou et al. 10.1016/j.envpol.2021.116898
6. Measurements of atmospheric aerosol vertical distribution above North China Plain using hexacopter Y. Zhu et al. 10.1016/j.scitotenv.2019.02.100
7. Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation L. Li 10.3390/rs12030492
8. Inferring Fine-Mode and Coarse-Mode Aerosol Complex Refractive Indices from AERONET Inversion Products over China Q. Chen et al. 10.3390/atmos10030158
9. Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China Aerosol Remote Sensing Network H. Che et al. 10.5194/acp-19-11843-2019
10. The Significant Contribution of Small-Sized and Spherical Aerosol Particles to the Decreasing Trend in Total Aerosol Optical Depth over Land from 2003 to 2018 K. Gui et al. 10.1016/j.eng.2021.05.017
11. Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. 10.1016/j.jes.2020.12.015
12. Trans‐Regional Transport of Haze Particles From the North China Plain to Yangtze River Delta During Winter J. Zhang et al. 10.1029/2020JD033778
13. Characterizing Vertical Distribution Patterns of PM2.5 in Low Troposphere of Shanghai city, China: implications from the perspective of unmanned aerial vehicle observations R. Song et al. 10.1016/j.atmosenv.2021.118724
14. The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. 10.1038/s41612-021-00165-y
15. Comprehensive observation and analysis of aerosol optical properties and vertical distribution in Nanjing, China J. Shen & N. Cao 10.1016/j.atmosenv.2020.117767
16. Seasonal variation of atmospheric vertical extinction and its interaction with meteorological factors in the Yangtze River Delta region B. Qi et al. 10.1016/j.chemosphere.2019.125768
17. Extreme Aerosol Events at Mesa Verde, Colorado: Implications for Air Quality Management M. Gonzalez et al. 10.3390/atmos12091140
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19. Characteristics of the atmospheric boundary layer and its relation with PM2.5 during haze episodes in winter in the North China Plain Q. Li et al. 10.1016/j.atmosenv.2020.117265
20. Changes in Haze Trends in the Sichuan-Chongqing Region, China, 1980 to 2016 H. Cai et al. 10.3390/atmos9070277
21. Climatology of mixing layer height in China based on multi-year meteorological data from 2000 to 2013 H. Zhao et al. 10.1016/j.atmosenv.2019.05.047
22. Classification of atmospheric aerosols and clouds by use of dual-polarization lidar measurements S. Qi et al. 10.1364/OE.430456
23. Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
24. Aerosol optical properties and its type classification based on multiyear joint observation campaign in north China plain megalopolis Y. Zheng et al. 10.1016/j.chemosphere.2020.128560
25. Spatiotemporal variations and reduction of air pollutants during the COVID-19 pandemic in a megacity of Yangtze River Delta in China Q. Yuan et al. 10.1016/j.scitotenv.2020.141820
26. Airborne and ground-based measurements of aerosol optical depth of freshly emitted anthropogenic plumes in the Athabasca Oil Sands Region K. Baibakov et al. 10.5194/acp-21-10671-2021
27. Aerosol characteristics at the three poles of the Earth as characterized by Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations Y. Yang et al. 10.5194/acp-21-4849-2021
28. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
29. PM2.5 and O3 pollution during 2015–2019 over 367 Chinese cities: Spatiotemporal variations, meteorological and topographical impacts S. Zhao et al. 10.1016/j.envpol.2020.114694
30. Evaluation of Himawari-8 version 2.0 aerosol products against AERONET ground-based measurements over central and northern China L. Wang et al. 10.1016/j.atmosenv.2020.117357
31. The two-way feedback effect between aerosol pollution and planetary boundary layer structure on the explosive rise of PM2.5 after the “Ten Statements of Atmosphere” in Beijing T. Zhang et al. 10.1016/j.scitotenv.2019.136259
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33. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China Y. Su et al. 10.1016/j.atmosenv.2021.118205
34. Multiyear Ground‐Based Measurements of Aerosol Optical Properties and Direct Radiative Effect Over Different Surface Types in Northeastern China H. Zhao et al. 10.1029/2018JD029141
35. Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: Sand dust events in northeast China Y. Bao et al. 10.1016/j.atmosenv.2019.02.026
36. Five-year observation of aerosol optical properties and its radiative effects to planetary boundary layer during air pollution episodes in North China: Intercomparison of a plain site and a mountainous site in Beijing Y. Zheng et al. 10.1016/j.scitotenv.2019.03.418
37. Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China W. Fan et al. 10.1016/j.atmosres.2018.11.002
38. Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States A. Corral et al. 10.3390/atmos11111212
39. Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China H. Che et al. 10.5194/acp-18-405-2018