33 citations as recorded by crossref.

1. A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean Peninsula M. Park et al. https://doi.org/10.1029/2023JD039189
2. Assessment of the corrected CCN activation parameterizations in simulating shallow cumulus using large-eddy simulations Y. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107881
3. Characteristics of new particle formation events occurred over the Yellow Sea in Springtime from 2019 to 2022 C. Ahn et al. https://doi.org/10.1016/j.atmosres.2024.107510
4. Meteorological dependence of particle number concentrations in an urban area of complex terrain, Northwestern China S. Zhao et al. https://doi.org/10.1016/j.atmosres.2015.06.001
5. Aerosol Properties within and above the Planetary Boundary Layer across the Korean Peninsula during December 2016 E. Jung et al. https://doi.org/10.3390/atmos12101299
6. Aerosol pollution and its potential impacts on outdoor human thermal sensation: East Asian perspectives K. Wai et al. https://doi.org/10.1016/j.envres.2017.07.036
7. Hygroscopic properties of urban aerosols and their cloud condensation nuclei activities measured in Seoul during the MAPS-Seoul campaign N. Kim et al. https://doi.org/10.1016/j.atmosenv.2017.01.034
8. Impact of urban aerosol properties on cloud condensation nuclei (CCN) activity during the KORUS-AQ field campaign N. Kim et al. https://doi.org/10.1016/j.atmosenv.2018.05.019
9. Implementation of a new empirical relationship between aerosol and cloud droplet concentrations in a climate model H. Lee et al. https://doi.org/10.3354/cr01415
10. Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories J. Schmale et al. https://doi.org/10.5194/acp-18-2853-2018
11. On the submicron aerosol distributions and CCN activity in and around the Korean Peninsula measured onboard the NASA DC-8 research aircraft during the KORUS-AQ field campaign M. Park et al. https://doi.org/10.1016/j.atmosres.2020.105004
12. Size‐resolved measurements of mixing state and cloud‐nucleating ability of aerosols in Nanjing, China Y. Ma et al. https://doi.org/10.1002/2017JD026583
13. Modelling of Aerosol Vertical Distribution during a Spring Season at Gwangju, Korea S. Shin & K. Lee https://doi.org/10.5572/ajae.2016.10.1.013
14. Development of a new visibility parameterization based on the measurement of fog microphysics at a mountain site in Korea J. Song et al. https://doi.org/10.1016/j.atmosres.2019.06.011
15. Aerosol activation characteristics and prediction at the central European ACTRIS research station of Melpitz, Germany Y. Wang et al. https://doi.org/10.5194/acp-22-15943-2022
16. Characterization of submicron aerosols and CCN over the Yellow Sea measured onboard the Gisang 1 research vessel using the positive matrix factorization analysis method M. Park et al. https://doi.org/10.1016/j.atmosres.2018.08.015
17. Activation properties of aerosol particles as cloud condensation nuclei at urban and high-altitude remote sites in southern Europe F. Rejano et al. https://doi.org/10.1016/j.scitotenv.2020.143100
18. Characterization of submicron aerosols over the Yellow Sea measured onboard the Gisang 1 research vessel in the spring of 2018 and 2019 M. Park et al. https://doi.org/10.1016/j.envpol.2021.117180
19. Aerosol and monsoon climate interactions over Asia Z. Li et al. https://doi.org/10.1002/2015RG000500
20. Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al. https://doi.org/10.1016/j.jes.2017.02.002
21. Effects of model resolution and parameterizations on the simulations of clouds, precipitation, and their interactions with aerosols S. Lee et al. https://doi.org/10.5194/acp-18-13-2018
22. In-situ observations reveal weak hygroscopicity in the Southern Tibetan Plateau: implications for aerosol activation and indirect effects Y. Wang et al. https://doi.org/10.1038/s41612-024-00629-x
23. Characteristics of Aerosol and Cloud Condensation Nuclei Concentrations Measured over the Yellow Sea on a Meteorological Research Vessel, GISANG 1 M. Park et al. https://doi.org/10.14191/Atmos.2016.26.2.243
24. Weekly variability of precipitation induced by anthropogenic aerosols: A case study in Korea in summer 2004 S. Bae et al. https://doi.org/10.1016/j.scitotenv.2015.10.020
25. A Comparative Study of Bin and Bulk Cloud Microphysics Schemes in Simulating a Heavy Precipitation Case H. Lee & J. Baik https://doi.org/10.3390/atmos9120475
26. Sub-micron aerosol and CCN characteristics in Seoul measured during 2019–2021 and CCN prediction using machine learning P. Seo et al. https://doi.org/10.1016/j.atmosenv.2025.121454
27. Characteristics of Recent Severe Haze Events in Korea and Possible Inadvertent Weather Modification S. Eun et al. https://doi.org/10.2151/sola.2016-007
28. Analyzing the Characteristics of Cloud Condensation Nuclei (CCN) in Hebei, China Using Multi-Year Observation and Reanalysis Data H. Wang et al. https://doi.org/10.3390/atmos13030468
29. A multiple-charging correction algorithm for a broad-supersaturation scanning cloud condensation nuclei (BS2-CCN) system N. Kim et al. https://doi.org/10.5194/amt-16-2771-2023
30. Cloud condensation nuclei properties of South Asian outflow over the northern Indian Ocean during winter V. Nair et al. https://doi.org/10.5194/acp-20-3135-2020
31. Seasonal Variations of Atmospheric Aerosol Particles Focused on Cloud Condensation Nuclei and Ice Nucleating Particles from Ground-Based Observations in Tsukuba, Japan N. Orikasa et al. https://doi.org/10.2151/sola.2020-036
32. Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition J. Schmale et al. https://doi.org/10.1038/sdata.2017.3
33. Nucleation-mode particle pool and large increases in Ncn and Nccn observed over the northwestern Pacific Ocean in the spring of 2014 J. Wang et al. https://doi.org/10.5194/acp-19-8845-2019