7 citations as recorded by crossref.

1. Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al. https://doi.org/10.1016/j.atmosenv.2025.121621
2. Inversion of CO emissions in Greater Bay Area over southern China using a WRF-STILT-Bayesian framework X. Lu et al. https://doi.org/10.1016/j.cacint.2026.100308
3. High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al. https://doi.org/10.1016/j.jclepro.2026.148229
4. Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
5. Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. https://doi.org/10.5194/acp-24-8243-2024
6. Constraining anthropogenic CO2 emissions using dense observations from OCO-3: Disentangling observed imprints over Xiamen-Zhangzhou-Quanzhou metropolitan area and challenges X. Ye et al. https://doi.org/10.1016/j.uclim.2025.102591
7. Development of a parametrised atmospheric NOx chemistry scheme to help quantify fossil fuel CO2 emission estimates C. Schooling et al. https://doi.org/10.5194/acp-25-15631-2025