30 citations as recorded by crossref.

1. Convergence of a generalized Weighted Flow Algorithm for stochastic particle coagulation L. DeVille et al.
2. Detection of ship plumes from residual fuel operation in emission control areas using single-particle mass spectrometry J. Passig et al.
3. Simulating aerosol chamber experiments with the particle-resolved aerosol model PartMC J. Tian et al.
4. Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics M. Hughes et al.
5. Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al.
6. Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion F. Mena et al.
7. Exploring the aerosol activation properties in coastal shallow convection using cloud- and particle-resolving models G. Yu et al.
8. Aerosol mixing state matters for particles deposition in human respiratory system J. Ching & M. Kajino
9. Using particle-resolved aerosol model simulations to guide the interpretations of cloud condensation nuclei experimental data P. Razafindrambinina et al.
10. Detailed Microphysical Modeling of the Formation of Organic and Sulfuric Acid Coatings on Aircraft Emitted Soot Particles in the Near Field H. Wong et al.
11. Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue” M. Gao et al.
12. Contribution of ship traffic to aerosol particle concentrations downwind of a major shipping lane N. Kivekäs et al.
13. Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling Z. Zheng et al.
14. Emission factors of SO2, NOx and particles from ships in Neva Bay from ground-based and helicopter-borne measurements and AIS-based modeling J. Beecken et al.
15. The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test J. Kaiser et al.
16. Mixing State, Morphology, and Chemical Composition of Ship-Emitted Soot Revealed by UAV-Based Plume Observations S. Bie et al.
17. Metrics to quantify the importance of mixing state for CCN activity J. Ching et al.
18. A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0 J. Curtis et al.
19. Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al.
20. Characterizing the Particle Composition and Cloud Condensation Nuclei from Shipping Emission in Western Europe C. Yu et al.
21. Retrieving the polarization information for satellite-to-ground light communication Q. Tao et al.
22. Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes S. Ausmeel et al.
23. The impacts of aerosol mixing state on heterogeneous N 2 O 5 hydrolysis Y. Liu et al.
24. Measurements and modelling of the three-dimensional near-field dispersion of particulate matter emitted from passenger ships in a port environment M. Haugen et al.
25. Evaluating model parameterizations of submicron aerosol scattering and absorption with in situ data from ARCTAS 2008 M. Alvarado et al.
26. Ship plumes in the Baltic Sea Sulfur Emission Control Area: chemical characterization and contribution to coastal aerosol concentrations S. Ausmeel et al.
27. Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors M. Karl et al.
28. On the Ship Particle Number Emission Index: Size‐Resolved Microphysics and Key Controlling Parameters J. Mao et al.
29. Effects of marine fuel sulfur restrictions on particle number concentrations and size distributions in ship plumes in the Baltic Sea S. Seppälä et al.
30. Airborne survey of trace gases and aerosols over the Southern Baltic Sea: from clean marine boundary layer to shipping corridor effect M. Zanatta et al.