14 citations as recorded by crossref.

1. Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. https://doi.org/10.1021/acs.est.1c07723
2. The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis A. Strzelecki https://doi.org/10.3390/healthcare10122425
3. Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
4. Estimating the effect of the COVID-19 pandemic on pollutant emissions in Europe A. Rodríguez-Sánchez et al. https://doi.org/10.1016/j.apr.2022.101388
5. Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun https://doi.org/10.5194/acp-23-8727-2023
6. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. https://doi.org/10.1016/j.rse.2023.113917
7. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun https://doi.org/10.1029/2022GL101102
8. Set-Up of an Italian MAX-DOAS Measurement Network for Air-Quality Studies and Satellite Validation E. Castelli et al. https://doi.org/10.3390/rs18050722
9. Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. https://doi.org/10.5194/acp-22-10875-2022
10. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. https://doi.org/10.5194/amt-16-2237-2023
11. Attribution of observed extreme marine wind speeds and associated hazards to midlatitude cyclone conveyor belt jets near the British Isles E. Gentile & S. Gray https://doi.org/10.1002/joc.7999
12. Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. https://doi.org/10.5194/acp-21-18227-2021
13. Fine particulate matter pollution in the Sichuan Basin of China from 2013 to 2020: Sources, emissions, and mortality burden X. Yang et al. https://doi.org/10.1016/j.envint.2025.109366
14. Identification of NOx hotspots from oversampled TROPOMI NO2 column based on image segmentation method K. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.150007