16 citations as recorded by crossref.

1. A Virtual Impactor-Based Portable Optical Sensor With Probabilistic Neural Network: For Particle Property Identification R. Wang et al.
2. Fluorescence Methods for the Detection of Bioaerosols in Their Civil and Military Applications M. Kwaśny et al.
3. Multimodal integration of dual-wavelength fluorescence and elemental emission features for event-resolved classification of aerosolized samples Y. Luo et al.
4. Recent Advances in Monitoring, Sampling, and Sensing Techniques for Bioaerosols in the Atmosphere E. Kabir et al.
5. Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review C. Argyropoulos et al.
6. Enhanced Detection of Primary Biological Aerosol Particles Using Machine Learning and Single-Particle Measurement A. Rahman et al.
7. Multispectral LIF-Based Standoff Detection System for the Classification of CBE Hazards by Spectral and Temporal Features L. Fellner et al.
8. 悬浮粒子的光学散射相关测量与分析方法 曾. Zeng Nan & 杨. Yang Likun
9. Measurements of the Optical Scattering Properties of Single Suspended Particles and Implications for Atmospheric Studies: A Review W. Yao et al.
10. Study on polarization scattering applied in aerosol recognition in the air D. Li et al.
11. Real time and online aerosol identification based on deep learning of multi-angle synchronous polarization scattering indexes Q. Xu et al.
12. Identification and Removal of Pollen Spectral Interference in the Classification of Hazardous Substances Based on Excitation Emission Matrix Fluorescence Spectroscopy P. Zhang et al.
13. On-Site Bioaerosol Sampling and Airborne Microorganism Detection Technologies A. Rastmanesh et al.
14. Understanding hourly patterns of Olea pollen concentrations as tool for the environmental impact assessment S. Fernández-Rodríguez et al.
15. Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al.
16. 一种基于特征提取的生物气溶胶遥测识别算法研究 杨. Yang Rong et al.