12 citations as recorded by crossref.

1. Satellite-Based Seasonal Fingerprinting of Methane Emissions from Canadian Dairy Farms Using Sentinel-5P P. Prajesh et al. https://doi.org/10.3390/cli13070135
2. Time-series variation and prediction of near-surface atmospheric methane in the Hefei region based on TCCON a priori profile data J. Xu et al. https://doi.org/10.1016/j.jastp.2026.106904
3. New insights in atmospheric methane variability in the Arctic by ship-borne measurements during MOSAiC A. Sellmaier et al. https://doi.org/10.5194/acp-25-17685-2025
4. Incorporating methane isotopologues alters tropical and subtropical methane emission estimates X. Yu et al. https://doi.org/10.1038/s41467-026-72668-2
5. Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. https://doi.org/10.5572/KOSAE.2024.40.3.361
6. Anthropic-Induced Variability of Greenhouse Gasses and Aerosols at the WMO/GAW Coastal Site of Lamezia Terme (Calabria, Southern Italy): Towards a New Method to Assess the Weekly Distribution of Gathered Data F. D’Amico et al. https://doi.org/10.3390/su16188175
7. Quantifying large methane emissions from the Nord Stream pipeline gas leak of September 2022 using IASI satellite observations and inverse modelling C. Wilson et al. https://doi.org/10.5194/acp-24-10639-2024
8. Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
9. Trends in the seasonal amplitude of atmospheric methane G. Liu et al. https://doi.org/10.1038/s41586-025-08900-8
10. Increasing diurnal and seasonal amplitude of atmospheric methane mole fraction in Central Siberia between 2010–2021 D. Tran et al. https://doi.org/10.5194/acp-25-16553-2025
11. Unveiling cascading lag effects of wetland methane emissions: Evidence from Lake Chad in Africa R. Liu et al. https://doi.org/10.1126/sciadv.adx9866
12. Satellite remote sensing and artificial intelligence for livestock greenhouse gas benchmarking: measurement, attribution, and verification challenges P. Prajesh et al. https://doi.org/10.1039/D5VA00425J