10 citations as recorded by crossref.

1. Machine learning-based modeling of land surface temperature at an open dumpsite in Khulna, Bangladesh S. Mondal et al. https://doi.org/10.1016/j.wmb.2026.100284
2. Reassessing the role of urban green space in air pollution control Z. Venter et al. https://doi.org/10.1073/pnas.2306200121
3. Long-term meteorology-adjusted and unadjusted trends of PM2.5 using the AirGAM model over Delhi, 2007–2022 . Chetna et al. https://doi.org/10.1016/j.aeaoa.2024.100255
4. Tracking the path to cleaner cities using global urban NO2 monitoring from space A. Hassani et al. https://doi.org/10.1088/1748-9326/ae5e97
5. Global Versus Australian Progress in Multi-Pollutant Air Quality: GAM-Based Trend Analysis and a Clean-Air Progress Index (1990–2019) K. Haddad https://doi.org/10.3390/stats9030048
6. Daily-Scale Meteorological Normalization of Surface Solar Radiation in Varying Pollution Levels: A Statistical Case Study in Beijing (2015–2019) T. Wu et al. https://doi.org/10.3390/rs18091368
7. Global mapping of city-level economic growth decoupling from fossil fuels A. Hassani et al. https://doi.org/10.1038/s44284-026-00440-0
8. Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al. https://doi.org/10.3390/atmos14030540
9. Impact of wildfire smoke on ozone concentrations using a Generalized Additive model in Salt Lake City, Utah, USA, 2006–2022 H. Lee & D. Jaffe https://doi.org/10.1080/10962247.2023.2291197
10. Co-evolving emission controls and climate impacts: A multi-decadal machine learning decomposition of urban O3 and NO2 air quality measurements M. Brancher https://doi.org/10.1016/j.atmosenv.2025.121655