12 citations as recorded by crossref.

1. Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
2. A framework for real-time image detection of bioaerosols R. Juidici et al. https://doi.org/10.1038/s41598-025-32744-x
3. Development and characterization of an inexpensive single-particle fluorescence spectrometer for bioaerosol monitoring B. Swanson & J. Huffman https://doi.org/10.1364/OE.26.003646
4. Fluorescence spectrum photo-bleaching analysis for distinguishing microorganisms (bacteria and fungi) from other particles in air C. Lu et al. https://doi.org/10.1364/OE.26.028902
5. Pollen classification using a single particle fluorescence spectroscopy technique B. Swanson et al. https://doi.org/10.1080/02786826.2022.2142510
6. Evaluation of a hierarchical agglomerative clustering method applied to WIBS laboratory data for improved discrimination of biological particles by comparing data preparation techniques N. Savage & J. Huffman https://doi.org/10.5194/amt-11-4929-2018
7. On the application of scattering matrix measurements to detection and identification of major types of airborne aerosol particles: Volcanic ash, desert dust and pollen J. Gómez Martín et al. https://doi.org/10.1016/j.jqsrt.2021.107761
8. 茨城大学-フランス放射線防護原子力安全研究所(IRSN) 国際ワークショップ開催報告 ｢大気放射性セシウムとバイオエアロゾルの放出｣ https://doi.org/10.3327/jaesjb.60.8_499
9. Atmospheric Aerosol Chemistry: Spectroscopic and Microscopic Advances A. Ault & J. Axson https://doi.org/10.1021/acs.analchem.6b04670
10. Pollen clustering strategies using a newly developed single-particle fluorescence spectrometer B. Swanson & J. Huffman https://doi.org/10.1080/02786826.2019.1711357
11. Estimation of pollen counts from light scattering intensity when sampling multiple pollen taxa – establishment of an automated multi-taxa pollen counting estimation system (AME system) K. Miki & S. Kawashima https://doi.org/10.5194/amt-14-685-2021
12. Real-time sensing of bioaerosols: Review and current perspectives J. Huffman et al. https://doi.org/10.1080/02786826.2019.1664724