11 citations as recorded by crossref.

1. Leveraging wide snapshot XCO2 pre-training to estimate urban fossil fuel CO2 emissions from space Z. Wang et al. https://doi.org/10.1016/j.rse.2026.115260
2. Characterizing Global Methane Point-Source Emission Structures from Multi-Source Satellite Data and National Inventories: Implications for Differentiated Mitigation Pathways X. Su et al. https://doi.org/10.3390/rs18111765
3. Active CO2 lidar extends satellite monitoring of urban fossil-fuel CO2 emissions to high-aerosol cities Y. Huang et al. https://doi.org/10.1016/j.jag.2026.105606
4. Observation-driven dynamic correction of urban CO2 simulations in WRF-Chem for high-resolution carbon monitoring S. Wu et al. https://doi.org/10.3389/fenvs.2026.1826851
5. Attributing GHG emissions to individual facilities using multi-temporal hyperspectral images: Methodology and applications Y. Zhang et al. https://doi.org/10.1016/j.isprsjprs.2026.01.014
6. Assessing the consistency of XCO2 products from DQ-1 ACDL and passive satellites using a unified comparison framework Y. Wang et al. https://doi.org/10.5194/acp-26-14793-2026
7. Active and passive satellite observations coupled with carbon–nitrogen synergy for urban fossil fuel CO2 emissions monitoring J. Yi et al. https://doi.org/10.5194/acp-26-8475-2026
8. Bottom-up assessment of atmospheric emissions from service vessels in the Port of Mohammedia (Morocco) and their potential onshore atmospheric transport Y. Geanah et al. https://doi.org/10.1007/s40868-026-00232-0
9. Observing system simulation experiment by integrating multi-source satellite observations Z. Yufei et al. https://doi.org/10.3389/fenvs.2026.1950661
10. Constraining anthropogenic CO2 emissions in Xinjiang, China based on OCO-2 and OCO-3 Missions C. Jin et al. https://doi.org/10.1016/j.atmosenv.2026.122088
11. Facility-Scale CO2 Emission Quantification for Coal-Fired Power Plants Using Multisource Hyperspectral Satellite Observations L. Qi et al. https://doi.org/10.1109/LGRS.2026.3709724