18 citations as recorded by crossref.

1. Understanding vapor nucleation on the molecular level: A review C. Li & R. Signorell https://doi.org/10.1016/j.jaerosci.2020.105676
2. Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model C. Li et al. https://doi.org/10.5194/acp-23-6879-2023
3. What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles? J. Kontkanen et al. https://doi.org/10.1039/D1EA00103E
4. Enhanced growth rate of atmospheric particles from sulfuric acid D. Stolzenburg et al. https://doi.org/10.5194/acp-20-7359-2020
5. Atmospheric Nanoparticle Survivability Reduction Due to Charge‐Induced Coagulation Scavenging Enhancement N. Mahfouz & N. Donahue https://doi.org/10.1029/2021GL092758
6. Reducing chemical complexity in representation of new-particle formation: evaluation of simplification approaches T. Olenius et al. https://doi.org/10.1039/D2EA00174H
7. The climate effects of ultrafine particles: uncertainties and future perspectives Y. Jin et al. https://doi.org/10.1007/s11783-026-2177-x
8. Estimating the influence of transport on aerosol size distributions during new particle formation events R. Cai et al. https://doi.org/10.5194/acp-18-16587-2018
9. Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. https://doi.org/10.1038/s41596-019-0274-z
10. Technical note: The enhancement limit of coagulation scavenging of small charged particles N. Mahfouz & N. Donahue https://doi.org/10.5194/acp-21-3827-2021
11. New Particle Formation and Growth in Urban Atmospheres: From Observations to Molecular-Level Understanding R. Cai et al. https://doi.org/10.1021/acs.chemrev.5c00684
12. Atmospheric nanoparticle growth D. Stolzenburg et al. https://doi.org/10.1103/RevModPhys.95.045002
13. Machine-learning-assisted inference of the particle charge fraction and the ion-induced nucleation rates during new particle formation events P. Wang et al. https://doi.org/10.5194/acp-25-7431-2025
14. Tutorial: The discrete-sectional method to simulate an evolving aerosol C. Li & R. Cai https://doi.org/10.1016/j.jaerosci.2020.105615
15. Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections R. Cai et al. https://doi.org/10.5194/acp-21-2287-2021
16. On the relation between apparent ion and total particle growth rates in the boreal forest and related chamber experiments L. Gonzalez Carracedo et al. https://doi.org/10.5194/acp-22-13153-2022
17. New particle formation from sulfuric acid and ammonia: nucleation and growth model based on thermodynamics derived from CLOUD measurements for a wide range of conditions A. Kürten https://doi.org/10.5194/acp-19-5033-2019
18. Robust metric for quantifying the importance of stochastic effects on nanoparticle growth T. Olenius et al. https://doi.org/10.1038/s41598-018-32610-z