10 citations as recorded by crossref.

1. Insights from an Integrated LC–MS/MS and Machine Learning Analysis into the Role of Long-Chain CHO-Containing Compounds in Ambient Light-Absorbing Aerosols K. Lin et al. https://doi.org/10.1021/acs.estlett.4c00978
2. Molecular-level analysis of atmospheric particulate organic compounds using HPLC-Orbitrap MS/MS: effects of solvents S. Xu et al. https://doi.org/10.1007/s11783-026-2267-9
3. Commercial kitchen operations produce a diverse range of gas-phase reactive nitrogen species L. Crilley et al. https://doi.org/10.1039/D4EM00491D
4. High-resolution multi-pollutant mapping in Denver, Colorado . Priyanka deSouza et al. https://doi.org/10.1016/j.aeaoa.2025.100364
5. Tracking county-level cooking emissions and their drivers in China from 1990 to 2021 with ensemble machine learning Z. Li et al. https://doi.org/10.5194/essd-17-5113-2025
6. Atmospheric Nitrogen-Containing Organic Aerosols in Wintertime Sichuan Basin of China: A Key Role of Aqueous-Phase Process in Secondary Production and Optical Absorption L. Chen et al. https://doi.org/10.1021/acs.est.6c05422
7. Redox potential and cytotoxicity of N-heterocyclic aromatic SOA from indole oxidation in the atmosphere C. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121049
8. Excessive Smoke from a Neighborhood Restaurant Highlights Gaps in Air Pollution Enforcement: Citizen Science Observational Study N. Newman et al. https://doi.org/10.3390/air3030020
9. Synoptic-scale transport drives wintertime secondary organic aerosol variability and high-PM episodes in Seoul S. Lee et al. https://doi.org/10.1016/j.envres.2026.124969
10. Physicochemical characterization and risk assessment of indoor particulate matter in academic canteens: comparison with outdoor and insights from aerosol mass spectrometer D. Mandal et al. https://doi.org/10.1016/j.atmosenv.2025.121490