14 citations as recorded by crossref.

1. 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals J. Jin et al. https://doi.org/10.1088/1748-9326/acb835
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3. Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling O. Tichý et al. https://doi.org/10.5194/acp-23-15235-2023
4. Spatial and temporal variability of atmospheric ammonia using a dense network in an area with livestock, residential and natural environments intertwined S. Lô et al. https://doi.org/10.1016/j.atmosenv.2025.121394
5. Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. https://doi.org/10.1080/10962247.2024.2342765
6. Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review Z. Jiang et al. https://doi.org/10.1007/s13351-025-4914-7
7. Accounting for Non-Detects: Application to Satellite Ammonia Observations E. White et al. https://doi.org/10.3390/rs15102610
8. Unchanged PM2.5 levels over Europe during COVID-19 were buffered by ammonia N. Evangeliou et al. https://doi.org/10.5194/ar-3-155-2025
9. Using multi-satellite observations to constrain ammonia emissions and unlock their potential over open water M. Momeni et al. https://doi.org/10.1038/s41598-025-09933-9
10. Data fusion of modelled and measured deposition in the US and Canada, part II: Dry deposition of sulfur, nitrogen and ozone A. Robichaud et al. https://doi.org/10.1016/j.atmosenv.2025.121656
11. Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia M. Shephard et al. https://doi.org/10.1109/JSTARS.2025.3557240
12. Ammonia emissions and depositions over the contiguous United States derived from IASI and CrIS using the directional derivative approach Z. Li et al. https://doi.org/10.5194/acp-26-703-2026
13. Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. https://doi.org/10.5194/acp-24-10583-2024
14. Reconciling bottom-up and top-down agricultural ammonia emission estimates Z. Ma et al. https://doi.org/10.1016/j.treopn.2026.07.004