8 citations as recorded by crossref.

1. Development and Field Testing of an Online Monitoring System for Atmospheric Particle-Bound Reactive Oxygen Species (ROS) Y. Liu et al. https://doi.org/10.3390/atmos14060924
2. Machine learning-derived dose-response relationships considering interactions in mixtures: Applications to the oxidative potential of particulate matter C. Esu et al. https://doi.org/10.1016/j.jhazmat.2024.134864
3. Development and Application of Field Mixing Process and Intelligent Mixing Vehicle for Plateau Type Emulsified Explosives for Open Pit Mining X. Tang et al. https://doi.org/10.2478/amns.2023.1.00251
4. Evaluation of indoor particulate matter control based on health risks and oxidative potential in a metro station Z. Wang et al. https://doi.org/10.1016/j.atmosenv.2023.120202
5. Oxidative potential of atmospheric aerosols: Research progress on pollution characteristics and mechanism B. Wang et al. https://doi.org/10.1016/j.envpol.2025.127014
6. An integrated synchronous online analyzer for gaseous and particulate reactive oxygen species (ROS): development, characterization and field observations Y. Wang et al. https://doi.org/10.5194/amt-19-4721-2026
7. An online instrument for assessing oxidative potential of ambient particulate matter via dithiothreitol assay, using particle-into-liquid sampler (PILS) coupled with improved light absorption measurement H. Chen & J. Yu https://doi.org/10.1016/j.atmosenv.2024.120980
8. Development and Validation of the Particle into Nitroxide Quencher System with BPEAnit Probe for High-Sensitivity Reactive Oxygen Species Detection in Atmospheric Monitoring R. Wang et al. https://doi.org/10.3390/s25041129