20 citations as recorded by crossref.

1. Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China L. Chen et al.
2. Cloud condensation nuclei phenomenology: predictions based on aerosol chemical and optical properties I. Zabala et al.
3. The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing G. Niu et al.
4. Sensitivity study of the impact of CCN size on simulated ground precipitation for deep convection case N. Kovačević
5. Retrieval of the sea spray aerosol mode from submicron particle size distributions and supermicron scattering during LASIC J. Dedrick et al.
6. Cloud probability distribution of typical urban agglomerations in China based on Sentinel-2 satellite remote sensing J. Ling et al.
7. Particle Number Size Distribution of Wintertime Alpine Aerosols and Their Activation as Cloud Condensation Nuclei in the Guanzhong Plain, Northwest China Y. Chen et al.
8. Particulate Matter and Total Volatile Organic Compound Emissions Following Surface Cleaning: Comparison of Cleaning Agents and Locations P. Souza et al.
9. Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei G. Choudhury et al.
10. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al.
11. Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al.
12. Aerosol effective radius governs the relationship between cloud condensation nuclei (CCN) concentration and aerosol backscatter E. Lenhardt et al.
13. Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al.
14. Harmonized aerosol size distribution, cloud condensation nuclei, chemistry and optical properties at 10 sites E. Andrews et al.
15. Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration N. Wang et al.
16. From Suppression to Enhancement: How Hygroscopic Seeding Particle Size Influences the Microphysical Processes and Precipitation Formation in Cumulus Clouds X. Ren et al.
17. Estimating the atmospheric aerosol number size distribution using deep learning Y. Wu et al.
18. In-tandem multi-waveband particulate absorption and size observations yield substantial changes in radiative forcing over industrial Central China L. Guan et al.
19. Aerosol impacts on summer precipitation forecast over the North China Plain by using Thompson aerosol-aware scheme in WRF: Statistical analysis and significant threat score improvements in polluted condition during June to August 2018 C. Guo et al.
20. Characterizing low-supersaturation CCN activity with AAC-CCNC system at a mountain site in continental region in China M. An et al.