11 citations as recorded by crossref.

1. Global gridded NOx emissions using TROPOMI observations A. Rey-Pommier et al. https://doi.org/10.5194/essd-17-3329-2025
2. High-resolution mapping of NO2 population exposure in China from satellite observations J. Gu et al. https://doi.org/10.1016/j.envdev.2025.101238
3. Impact of Electricity Demand on the Power Grid During Mega-Events With Renewable Energy Integration M. Alashqar et al. https://doi.org/10.1109/ACCESS.2026.3661369
4. Quantifying NOxpoint sources with Landsat and Sentinel-2 satellite observations of NO2plumes D. Varon et al. https://doi.org/10.1073/pnas.2317077121
5. Emissions to the atmosphere by power plants in Baja California Sur, Mexico C. Rivera-Cárdenas et al. https://doi.org/10.56845/rebs.v6i1.87
6. Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations T. Xu et al. https://doi.org/10.1016/j.rse.2026.115261
7. Mapping $$\text {NO}_{\text {x}}$$ emissions in Cyprus using TROPOMI observations: evaluation of the flux-divergence scheme using multiple parameter sets A. Rey-Pommier et al. https://doi.org/10.1007/s11356-024-35851-w
8. Assessment of NO2 and SO2 emissions in the Tula industrial complex, Hidalgo, using the mobile mini-DOAS technique combined with the AERMOD dispersion model R. González Rivero et al. https://doi.org/10.1007/s10661-025-14265-2
9. 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
10. Gap-filling XCO2 variability: A conditional framework to estimate XCO2 in data-sparse regions using dense TROPOMI NO2 observations over China J. Gu et al. https://doi.org/10.1016/j.envres.2026.124580
11. Investigation of Atmospheric Anomalies due to the Great Tohoku Earthquake Disturbance Using NRLMSISE-00 Atmospheric Model Measurement L. Endeshaw https://doi.org/10.1007/s00024-024-03476-2