9 citations as recorded by crossref.

1. Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
2. Seasonal isoprene emission estimates over tropical South America inferred from satellite observations of isoprene S. Sun et al. https://doi.org/10.5194/acp-25-15801-2025
3. NMVOC emission optimization in China through assimilating formaldehyde retrievals from multiple satellite products C. Xu et al. https://doi.org/10.5194/acp-26-33-2026
4. Retrieval and Evaluation of NOX Emissions Based on a Machine Learning Model in Shandong T. Liu et al. https://doi.org/10.3390/su17136100
5. Influence of biogenic NO emissions from soil on atmospheric chemistry over Africa: a regional modelling study E. Yao et al. https://doi.org/10.5194/acp-25-12101-2025
6. Inferring drivers of tropical isoprene: competing effects of emissions and chemistry J. Yoon et al. https://doi.org/10.5194/acp-26-4509-2026
7. Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
8. Global VOC emissions quantified from inversion of TROPOMI spaceborne formaldehyde and glyoxal data Y. Sfendla et al. https://doi.org/10.5194/acp-26-733-2026
9. Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from HCHO-Based Global Inversion H. Li et al. https://doi.org/10.1021/acs.est.5c12927