11 citations as recorded by crossref.

1. Aerosol classification using fuzzy clustering over a tropical rural site A. Krishnaveni et al.
2. A Machine Learning Approach to Derive Aerosol Properties from All-Sky Camera Imagery F. Scarlatti et al.
3. Influencing factors of the gas–particle distribution of oxygenated organic molecules in the urban atmosphere and deviation from equilibrium partitioning: a random forest model study X. Wang et al.
4. Integrating Traditional and Artificial Intelligence Methods in Dust Aerosol Research: A Comprehensive Review T. Sha et al.
5. Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particles – Part 1: Observational data analysis X. Wei et al.
6. Linking Precursors and Volatility of Ambient Oxygenated Organic Aerosols Using Thermal Desorption Measurement and Machine Learning X. Wang et al.
7. Data‐Driven Compound Identification in Atmospheric Mass Spectrometry H. Sandström et al.
8. Deep learning representation of the aerosol size distribution D. Barahona et al.
9. Leveraging machine learning to enhance aerosol classification using Single-Particle Mass Spectrometry J. Perez Chavez et al.
10. African dust transport and deposition modelling verified through a citizen science campaign in Finland O. Meinander et al.
11. Advancing Aerosol Chemistry with Machine Learning: A Short Review Y. Wang et al.