11 citations as recorded by crossref.

1. Surface Engineering Enabled Capacitive Gas‐Phase Water Molecule Sensors in Carbon Nanodots J. Qin et al. 10.1002/advs.202414611
2. Demonstration of a Simplified, Two-Wavelength Optical Approach to Measuring Nitrogen Dioxide in Cities E. Halpin et al. 10.3390/atmos16050599
3. Methodological Integration of Machine Learning and Geospatial Analysis for PM10 Pollution Mapping K. Yasin et al. 10.1016/j.mex.2025.103322
4. One-Point Calibration of Low-Cost Sensors for Particulate Air Matter (PM) Concentration Measurement L. Russi et al. 10.3390/s25030692
5. Predictive machine learning and geospatial modeling reveal PM10 hotspots and guide targeted air pollution interventions in Addis Ababa, Ethiopia K. Yasin et al. 10.1007/s42452-025-06723-w
6. Air Quality Monitoring in Schools: Evaluating the Effects of Ventilation Improvements on Cognitive Performance and Childhood Asthma V. Ezeamii et al. 10.7759/cureus.83306
7. Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al. 10.1021/acsestair.5c00069
8. In-situ baseline calibration approach for enhanced data quality of large-scale air sensor monitoring networks H. Mei et al. 10.1038/s41612-025-01184-9
9. Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning Y. Colléaux et al. 10.3390/s25051423
10. Toward an Event-Based and Quality-Assured Air Sampling: A Portable System for Sensing and Sampling Volatile Organic Compounds T. Mayer et al. 10.1021/acs.analchem.5c03799
11. A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. 10.1021/acs.est.4c08855