7 citations as recorded by crossref.

1. Using machine learning approach to reproduce the measured feature and understand the model-to-measurement discrepancy of atmospheric formaldehyde H. Yin et al. https://doi.org/10.1016/j.scitotenv.2022.158271
2. Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. https://doi.org/10.5194/acp-21-12561-2021
3. Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
4. Validation of OMPS Suomi NPP and OMPS NOAA‐20 Formaldehyde Total Columns With NDACC FTIR Observations H. Kwon et al. https://doi.org/10.1029/2022EA002778
5. Multi-scale correlation reveals the evolution of socio-natural contributions to tropospheric HCHO over China from 2005 to 2022 H. Xia et al. https://doi.org/10.1016/j.scitotenv.2024.176197
6. CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements N. Taquet et al. https://doi.org/10.5194/acp-24-11823-2024
7. Is There a Formaldehyde Deficit in Emissions Inventories for Southeast Michigan? E. Olaguer et al. https://doi.org/10.3390/atmos14030461