12 citations as recorded by crossref.

1. Spatial and Temporal Variability of Near-Surface CO2 and Influencing Factors in Urban Communities Y. Wu et al. https://doi.org/10.3390/land14040888
2. Estimation of CO2 fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework N. Ponomarev et al. https://doi.org/10.5194/acp-26-547-2026
3. Designing urban CO2 sensor networks under realistic uncertainties and biases: Results from synthetic studies in Berlin and Munich C. Lüken-Winkels et al. https://doi.org/10.1525/elementa.2025.00118
4. ACROPOLIS: Munich urban CO2 sensor network P. Aigner et al. https://doi.org/10.5194/amt-19-745-2026
5. Atmospheric network requirements to detect policy-driven urban CO2 emission changes I. Albarus et al. https://doi.org/10.1088/1748-9326/ae7b5f
6. The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al. https://doi.org/10.5194/acp-25-2781-2025
7. The Zurich Low-cost CO2 sensor network (ZiCOS-L): data processing, performance assessment and analysis of spatial and temporal CO2 dynamics L. Creman et al. https://doi.org/10.5194/amt-19-1441-2026
8. Effects of Environmental Factors on the Performance of Ground-Based Low-Cost CO2 Sensors X. Ren et al. https://doi.org/10.3390/s25196114
9. Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL D. Brunner et al. https://doi.org/10.5194/acp-25-14387-2025
10. A Review of Source-Term Estimation for Continuous Methane Monitoring: From Data Acquisition to Modeling and Estimation Z. Xie et al. https://doi.org/10.1021/acsomega.5c13215
11. Tall-tower isotope measurements to infer urban CO2 sources: a case study of Vienna, Austria K. Meeran et al. https://doi.org/10.1016/j.atmosenv.2026.122245
12. A 30-month field evaluation of low-cost CO2 sensors using a reference instrument Q. Cai et al. https://doi.org/10.5194/amt-18-4871-2025