17 citations as recorded by crossref.

1. Estimating the variability in NOx emissions from Wuhan with TROPOMI NO2 data during 2018 to 2023 Q. Zhang et al. https://doi.org/10.5194/acp-25-3313-2025
2. Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
3. Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. https://doi.org/10.1016/j.ese.2024.100425
4. Constraining NOx emissions with satellite NO2 data to improve modeling of 2023 wildfire air quality J. Kumm & Z. Qu https://doi.org/10.1016/j.atmosenv.2026.121985
5. Impacts of multi-source data assimilation and model resolution on anthropogenic NOₓ emission inversions C. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109105
6. Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots D. Huber et al. https://doi.org/10.5194/acp-26-3783-2026
7. Spatiotemporal Assessment of Tropospheric Nitrogen Dioxide Changes During COVID-19 Lockdowns Using Cloud-Based Remote Sensing: Evidence from Central America N. Caal Suc et al. https://doi.org/10.3390/rs18111850
8. Observationally constrained global NOx and CO emissions variability reveals sources which contribute significantly to CO2 emissions S. Wang et al. https://doi.org/10.1038/s41612-025-00977-2
9. Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. https://doi.org/10.5194/gmd-18-621-2025
10. Constrained Estimates of Anthropogenic NOx Emissions in China (2014–2021) from Surface Observations Y. Shen et al. https://doi.org/10.3390/atmos17010051
11. 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
12. Satellite data-driven estimates of NO x and co-emitted CO2 from coal-fired power plants in China (2021–2024) L. Chen et al. https://doi.org/10.1088/1748-9326/ae84e9
13. Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. https://doi.org/10.1021/acsestair.4c00097
14. Cement and brick factories contribute elevated levels of NO2 pollution in Nepal: Evidence of high-resolution view from space M. Gyawali et al. https://doi.org/10.1016/j.aeaoa.2025.100324
15. Sentinel Data for Monitoring of Pollutant Emissions by Maritime Transport—A Literature Review T. Batista et al. https://doi.org/10.3390/rs17132202
16. 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
17. An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026