53 citations as recorded by crossref.

1. Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration N. Wang et al. https://doi.org/10.1038/s41612-025-01181-y
2. 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
3. Hygroscopicity of urban aerosols and its link to size-resolved chemical composition during spring and summer in Seoul, Korea N. Kim et al. https://doi.org/10.5194/acp-20-11245-2020
4. Identifying the hygroscopic properties of fine aerosol particles from diverse sources in urban atmosphere and the applicability in prediction of cloud nuclei J. Ren et al. https://doi.org/10.1016/j.atmosenv.2023.119615
5. Seasonal variation of particle hygroscopicity and its impact on cloud-condensation nucleus activation in the Beijing urban area S. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.119728
6. Cloud condensation nuclei phenomenology: predictions based on aerosol chemical and optical properties I. Zabala et al. https://doi.org/10.5194/acp-26-3697-2026
7. 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
8. Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere S. Jiang et al. https://doi.org/10.5194/acp-21-14293-2021
9. A Large Impact of Cooking Organic Aerosol (COA) on Particle Hygroscopicity and CCN Activity in Urban Atmosphere J. Liu et al. https://doi.org/10.1029/2020JD033628
10. Markedly different impacts of primary emissions and secondary aerosol formation on aerosol mixing states revealed by simultaneous measurements of CCNC, H(/V)TDMA, and SP2 J. Tao et al. https://doi.org/10.5194/acp-24-9131-2024
11. Role of Aerosol Physicochemical Properties on Aerosol Hygroscopicity and Cloud Condensation Nuclei Activity in a Tropical Coastal Atmosphere A. T. C. et al. https://doi.org/10.1021/acsearthspacechem.2c00044
12. Fog–Haze Transition and Drivers in the Coastal Region of the Yangtze River Delta R. Lyu et al. https://doi.org/10.3390/ijerph19159608
13. Seasonal variations in PM2.5 composition and their effects on CCN activation properties Y. Lu et al. https://doi.org/10.1016/j.atmosenv.2025.121129
14. Contrasting aerosol mixing states at inland and coastal sites: an entropy-based metric for CCN activity J. Ren et al. https://doi.org/10.5194/acp-26-2985-2026
15. The large proportion of black carbon (BC)-containing aerosols in the urban atmosphere L. Chen et al. https://doi.org/10.1016/j.envpol.2020.114507
16. Evidence of Surface-Tension Lowering of Atmospheric Aerosols by Organics from Field Observations in an Urban Atmosphere: Relation to Particle Size and Chemical Composition T. Fan et al. https://doi.org/10.1021/acs.est.4c03141
17. Simulation of SOA formation from the photooxidation of monoalkylbenzenes in the presence of aqueous aerosols containing electrolytes under various NOx levels C. Zhou et al. https://doi.org/10.5194/acp-19-5719-2019
18. Cloud Condensation Nuclei Behavior and Closure Assessment for the Northwest Atlantic Ocean C. Soloff et al. https://doi.org/10.1021/acsestair.5c00151
19. The effect of black carbon aging from NO2 oxidation of SO2 on its morphology, optical and hygroscopic properties F. Zhang et al. https://doi.org/10.1016/j.envres.2022.113238
20. Method to Estimate Water Vapor Supersaturation in the Ambient Activation Process Using Aerosol and Droplet Measurement Data C. Shen et al. https://doi.org/10.1029/2018JD028315
21. Characterization of size-resolved aerosol hygroscopicity and liquid water content in Nanjing of the Yangtze River Delta Y. Jiang et al. https://doi.org/10.1016/j.jes.2024.03.035
22. The Role Played by the Bulk Hygroscopicity on the Prediction of the Cloud Condensation Nuclei Concentration Inside the Urban Aerosol Plume in Manaus, Brazil: From Measurements to Modeled Results G. Almeida https://doi.org/10.1016/j.atmosenv.2022.119517
23. Cloud condensation nuclei activity of internally mixed particle populations at a remote marine free troposphere site in the North Atlantic Ocean Z. Cheng et al. https://doi.org/10.1016/j.scitotenv.2023.166865
24. Contrasting size-resolved hygroscopicity of fine particles derived by HTDMA and HR-ToF-AMS measurements between summer and winter in Beijing: the impacts of aerosol aging and local emissions X. Fan et al. https://doi.org/10.5194/acp-20-915-2020
25. Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model Z. Yu et al. https://doi.org/10.5194/acp-22-9083-2022
26. Aerosol microphysical and optical closure study in the Baltic Sea coastal zone K. Markowicz et al. https://doi.org/10.1016/j.jaerosci.2025.106741
27. Size-resolved hygroscopic behavior of atmospheric aerosols during heavy aerosol pollution episodes in Beijing in December 2016 X. Wang et al. https://doi.org/10.1016/j.atmosenv.2018.09.041
28. A review of aerosol chemistry in Asia: insights from aerosol mass spectrometer measurements W. Zhou et al. https://doi.org/10.1039/D0EM00212G
29. Constraining the Effect of Surfactants on the Hygroscopic Growth of Model Sea Spray Aerosol Particles R. Bramblett & A. Frossard https://doi.org/10.1021/acs.jpca.2c04539
30. Enhanced secondary organic aerosol formation from the photo-oxidation of mixed anthropogenic volatile organic compounds J. Li et al. https://doi.org/10.5194/acp-21-7773-2021
31. Structural Collapse and Coating Composition Changes of Soot Particles During Long‐Range Transport J. Zhang et al. https://doi.org/10.1029/2023JD038871
32. CCN estimations at a high-altitude remote site: role of organic aerosol variability and hygroscopicity F. Rejano et al. https://doi.org/10.5194/acp-24-13865-2024
33. Aircraft measurements of single particle size and composition reveal aerosol size and mixing state dictate their activation into cloud droplets G. Saliba et al. https://doi.org/10.1039/D3EA00052D
34. Impacts of the aerosol mixing state and new particle formation on CCN in summer at the summit of Mount Tai (1534m) in Central East China Z. Wu et al. https://doi.org/10.1016/j.scitotenv.2024.170622
35. Hygroscopicity of Organic Aerosols Linked to Formation Mechanisms J. Liu et al. https://doi.org/10.1029/2020GL091683
36. Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. https://doi.org/10.1029/2022JD038339
37. Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. https://doi.org/10.1029/2020EA001098
38. Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. https://doi.org/10.1029/2022JD037964
39. Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site J. Fast et al. https://doi.org/10.5194/acp-22-11217-2022
40. The density of ambient black carbon retrieved by a new method: implications for cloud condensation nuclei prediction J. Ren et al. https://doi.org/10.5194/acp-23-4327-2023
41. Black carbon content of traffic emissions significantly impacts black carbon mass size distributions and mixing states F. Li et al. https://doi.org/10.5194/acp-23-6545-2023
42. Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.137473
43. The evolution of aerosol mixing state derived from a field campaign in Beijing: implications for particle aging timescales in urban atmospheres J. Liu et al. https://doi.org/10.5194/acp-25-5075-2025
44. Aerosol influences on low-level clouds in the West African monsoon J. Taylor et al. https://doi.org/10.5194/acp-19-8503-2019
45. Significantly Enhanced Aerosol CCN Activity and Number Concentrations by Nucleation‐Initiated Haze Events: A Case Study in Urban Beijing F. Zhang et al. https://doi.org/10.1029/2019JD031457
46. The impact of aerosol size-dependent hygroscopicity and mixing state on the cloud condensation nuclei potential over the north-east Atlantic W. Xu et al. https://doi.org/10.5194/acp-21-8655-2021
47. Secondary organic aerosol formation from the ozonolysis and oh-photooxidation of 2,5-dimethylfuran M. Tajuelo et al. https://doi.org/10.1016/j.atmosenv.2020.118041
48. The NPF Effect on CCN Number Concentrations: A Review and Re‐Evaluation of Observations From 35 Sites Worldwide J. Ren et al. https://doi.org/10.1029/2021GL095190
49. A 23-year nationwide study revealing aerosol-driven light rain shifts in China's emission control era R. Zhang et al. https://doi.org/10.5194/acp-25-18077-2025
50. Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain R. Zhang et al. https://doi.org/10.5194/acp-22-14879-2022
51. Tropospheric aerosol hygroscopicity in China C. Peng et al. https://doi.org/10.5194/acp-20-13877-2020
52. Impact of dry intrusion events on the composition and mixing state of particles during the winter Aerosol and Cloud Experiment in the Eastern North Atlantic (ACE-ENA) J. Tomlin et al. https://doi.org/10.5194/acp-21-18123-2021
53. The gas-phase reaction kinetics of different structure of unsaturated alcohols and ketones with O3 W. Li et al. https://doi.org/10.1016/j.atmosenv.2021.118394