11 citations as recorded by crossref.

1. Network calibration method based on a Bayesian approach using frequency modulation communications for wireless systems over additive white Gaussian noise channel D. Chaal & A. Lyhyaoui https://doi.org/10.1049/iet-spr.2017.0230
2. The Silent Language: A Review of Mathematics in the Realm of Gas Sensing G. Hingangavkar https://doi.org/10.1007/s11220-025-00654-x
3. Bayesian Calibration and Sensitivity Analysis of Rayleigh Scattering Fiber Optic Distributed Temperature Sensing in Water Flow Loop L. Kohler et al. https://doi.org/10.1080/00295639.2025.2528506
4. FGCH: a fast and grid based clustering algorithm for hybrid data stream J. Chen et al. https://doi.org/10.1007/s10489-018-1324-x
5. High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data A. Kar et al. https://doi.org/10.1016/j.atmosenv.2024.120486
6. A Metrological Perspective Review for Reliable and Traceable Sensor Networks N. Mishra https://doi.org/10.1007/s12647-025-00868-0
7. Precision and Accuracy of a Direct-Reading Miniaturized Monitor in PM2.5 Exposure Assessment F. Borghi et al. https://doi.org/10.3390/s18093089
8. Miniaturized Monitors for Assessment of Exposure to Air Pollutants: A Review F. Borghi et al. https://doi.org/10.3390/ijerph14080909
9. Low-cost sensors and crowd-sourced data: Observations of siting impacts on a network of air-quality instruments G. Miskell et al. https://doi.org/10.1016/j.scitotenv.2016.09.177
10. Calibration of low-cost NO2 sensors in an urban air quality network V. van Zoest et al. https://doi.org/10.1016/j.atmosenv.2019.04.048
11. Field calibration of electrochemical NO2 sensors in a citizen science context B. Mijling et al. https://doi.org/10.5194/amt-11-1297-2018