10 citations as recorded by crossref.

1. Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollen towards pollen classification D. Cholleton et al. 10.5194/amt-15-1021-2022
2. Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach J. Schaefer et al. 10.1016/j.scitotenv.2021.148932
3. CALIPSO Overpasses During Three Atmospheric Pollen Events Detected by Hirst-Type Volumetric Samplers in Two Urban Cities in Greece A. Karageorgopoulou et al. 10.3390/atmos16030317
4. A global survey addressing sustainability of pollen monitoring D. Dwarakanath et al. 10.1016/j.waojou.2024.100997
5. Towards an Automatic Pollen Detection System in Ambient Air Using Scattering Functions in the Visible Domain J. Renard et al. 10.3390/s22134984
6. Spatial Variation of Airborne Pollen Concentrations Locally around Brussels City, Belgium, during a Field Campaign in 2022–2023, Using the Automatic Sensor Beenose J. Renard et al. 10.3390/s24123731
7. Pollen observations at four EARLINET stations during the ACTRIS-COVID-19 campaign X. Shang et al. 10.5194/acp-22-3931-2022
8. Air Sampling and Analysis of Aeroallergens: Current and Future Approaches E. Levetin et al. 10.1007/s11882-023-01073-2
9. Pollen classification using a single particle fluorescence spectroscopy technique B. Swanson et al. 10.1080/02786826.2022.2142510
10. Seasonal variation in photovoltaic generation efficiency due to bioaerosol particle accumulation K. Miki & S. Mori 10.1016/j.seta.2024.104106