12 citations as recorded by crossref.

1. Systematic exposure bias in city-level air quality reporting revealed by 38 years of Indian observations G. Sharma et al. https://doi.org/10.1038/s41598-026-40057-w
2. A neural operator for forecasting carbon monoxide evolution in cities S. Bedi et al. https://doi.org/10.1038/s44407-024-00002-5
3. From accurate to actionable: Interpretable PM2.5 forecasting with feature engineering and SHAP for the Liverpool–Wirral region S. Malakouti https://doi.org/10.1016/j.envc.2025.101290
4. Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM2.5 mapping T. Li et al. https://doi.org/10.1038/s41612-025-00984-3
5. Evaluation of India’s National Clean Air Program Performance and Potential Health Benefits R. Lal & A. Nagpure https://doi.org/10.1021/acs.estlett.5c01224
6. Extracting regional and temporal features to improve machine learning for hourly air pollutants in urban India S. Wang et al. https://doi.org/10.1016/j.atmosenv.2024.120834
7. Estimation of surface PM2.5 over the Indo-Gangetic Basin using MERRA-2 reanalysis and machine learning V. Singh et al. https://doi.org/10.1038/s41598-026-37934-9
8. A dataset of harmonized global air quality monitoring metadata S. Renna et al. https://doi.org/10.1038/s41597-026-06797-0
9. Assessment of Fine Aerosol in Two Different Climate Regions of India Using MERRA-2 Products, Ground-based Measurements, and Machine Learning D. Anand M et al. https://doi.org/10.1007/s41810-024-00279-9
10. Evaluation of MERRA-2 PM2.5 species at three locations in India and their historical (1999–2019) trends S. Devaliya et al. https://doi.org/10.1007/s10661-026-15175-7
11. Advanced Regression Approaches for High-Fidelity Solar Radiation Prediction: Analysis of a 12-Year Meteorological Dataset from Egypt B. Hassan et al. https://doi.org/10.1007/s41748-025-00892-9
12. Exposure disparities in global daily PM1 pollution C. Tao et al. https://doi.org/10.1016/j.icee.2026.100006