9 citations as recorded by crossref.

1. A new aggregation and riming discrimination algorithm based on polarimetric weather radars A. Blanke et al. 10.5194/acp-25-4167-2025
2. Molecular characterization of atmospheric organic aerosols: Contemporary applications of high-resolution mass spectrometry Q. Xie & A. Laskin 10.1016/j.trac.2024.117986
3. Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning Y. Xu et al. 10.1016/j.scitotenv.2024.172822
4. Deep learning based aerosol particle classification for the detection of ship emissions G. Wang et al. 10.1016/j.scitotenv.2025.180041
5. Advanced Characterization of Industrial Smoke: Particle Composition and Size Analysis with Single Particle Aerosol Mass Spectrometry and Optimized Machine Learning Y. Ye et al. 10.1021/acs.analchem.4c05988
6. Selective capture of PM2.5 by urban trees: The role of leaf wax composition and physiological traits in air quality enhancement D. Chen et al. 10.1016/j.jhazmat.2024.135428
7. Deep learning-based analysis and identification of single-particle mass spectra of bacteria H. Chen et al. 10.1007/s00216-025-05942-9
8. Machine learning approaches for automatic classification of single-particle mass spectrometry data G. Wang et al. 10.5194/amt-17-299-2024
9. 1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry G. Wang et al. 10.1109/LSENS.2023.3315554