51 citations as recorded by crossref.

1. Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
2. Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
3. Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India M. Campmier et al. 10.5194/amt-16-4357-2023
4. Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
5. Evaluation of Long-Term Performance of Six PM2.5 Sensor Types K. Barkjohn et al. 10.3390/s25041265
6. Observationally constrained mass balance box model analysis of aerosol mitigation potential using fan powered filters S. Wang et al. 10.1088/2515-7620/ad1422
7. Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors K. Kaur & K. Kelly 10.1016/j.jaerosci.2023.106181
8. An In-Field Assessment of the P.ALP Device in Four Different Real Working Conditions: A Performance Evaluation in Particulate Matter Monitoring G. Fanti et al. 10.3390/toxics12040233
9. What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UK N. Cowell et al. 10.1002/met.2220
10. Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
11. Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain G. Kosmopoulos et al. 10.3390/s23146541
12. Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal models K. Glenn et al. 10.1038/s41598-023-30778-7
13. Particulate matter in a lockdown home: evaluation, calibration, results and health risk from an IoT enabled low-cost sensor network for residential air quality monitoring N. Cowell et al. 10.1039/D2EA00124A
14. Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al. 10.1039/D2EA00149G
15. Temporal variability and regional influences of PM2.5 in the West African cities of Abidjan (Côte d'Ivoire) and Accra (Ghana) J. Bahino et al. 10.1039/D4EA00012A
16. Understanding the effect of outdoor pollution episodes and HVAC type on indoor air quality T. Mangin et al. 10.1016/j.buildenv.2025.112978
17. Urban Air Quality Management at Low Cost Using Micro Air Sensors: A Case Study from Accra, Ghana C. Hodoli et al. 10.1021/acsestair.4c00172
18. Moving from monitoring to real-time interventions for air quality: are low-cost sensor networks ready to support urban digital twins? N. Cowell et al. 10.3389/frsc.2024.1500516
19. Performance evaluation of MOMA (MOment MAtching) – a remote network calibration technique for PM2.5 and PM10 sensors L. Weissert et al. 10.5194/amt-16-4709-2023
20. Field evaluation of low-cost particulate matter (PM) sensor instruments in indoor and outdoor environments: A university lecture hall and urban southeastern United States S. Westgate et al. 10.1080/02786826.2025.2484244
21. Optical properties of biomass burning aerosol during the 2021 Oregon fire season: comparison between wild and prescribed fires A. Marsavin et al. 10.1039/D2EA00118G
22. A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy 10.3390/atmos15030304
23. Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
24. Quantifying impact of correlated predictors on low-cost sensor PM2.5 data using KZ filter V. Kumar et al. 10.3389/fams.2024.1368147
25. Using low-cost particle sensors in HVAC ducts V. Gentile et al. 10.1080/02786826.2025.2475085
26. Emissions and exposure to NOx, CO, CO2 and PM2.5 from a gas stove using reference and low-cost sensors D. Jaffe & A. Creekmore 10.1016/j.atmosenv.2024.120564
27. First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP Assessment G. Fanti et al. 10.3390/s24185915
28. Equivalent radius of atmosphere aerosol in haze weather based on laser scattering G. Feng et al. 10.1364/AO.509518
29. A model for rapid PM2.5 exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3 S. Raffuse et al. 10.5194/gmd-17-381-2024
30. High-resolution urban air quality monitoring from citizen science data with echo-state transformer networks M. Bonas & S. Castruccio 10.1093/jrsssc/qlaf007
31. The impact of coal trains on PM2.5 in the San Francisco Bay area B. Ostro et al. 10.1007/s11869-023-01333-0
32. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations F. Bulot et al. 10.3390/s23177657
33. Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data V. Kumar et al. 10.5194/amt-16-5415-2023
34. Factors influencing particle resuspension and dispersion: An experimental study using test-track measurements B. Obeid et al. 10.1016/j.trd.2024.104321
35. The dependence of PurpleAir sensors on particle size distribution and meteorology and their relationship to integrating nephelometers W. Malm et al. 10.1016/j.atmosenv.2024.120757
36. Size-Resolved Field Performance of Low-Cost Sensors for Particulate Matter Air Pollution E. Molina Rueda et al. 10.1021/acs.estlett.3c00030
37. Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particles S. Park et al. 10.1016/j.buildenv.2023.110127
38. PM2.5 Concentrations in a Rapidly Developing Neighborhood in the City of Lomé, Togo S. Hèzouwè et al. 10.13005/ojc/400117
39. Improving PM10 sensor accuracy in urban areas through calibration in Timișoara R. Blaga & S. Gautam 10.1038/s41612-024-00812-0
40. Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
41. An evaluation of the U.S. EPA's correction equation for PurpleAir sensor data in smoke, dust, and wintertime urban pollution events D. Jaffe et al. 10.5194/amt-16-1311-2023
42. Technical note: Identifying a performance change in the Plantower PMS 5003 particulate matter sensor N. Searle et al. 10.1016/j.jaerosci.2023.106256
43. Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test house A. Thakur et al. 10.1080/02786826.2024.2342722
44. An insight into recent PM1 aerosol light scattering properties and particle number concentration variabilities at the suburban site ATOLL in Northern France L. Suchánková et al. 10.1016/j.scitotenv.2024.178190
45. Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah K. Kaur & K. Kelly 10.5194/amt-16-2455-2023
46. Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance F. Bulot et al. 10.1016/j.heliyon.2023.e15943
47. A review of regulatory standard test methods for residential wood heaters and recommendations for their advancement J. Caubel et al. 10.1016/j.rser.2023.113501
48. Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al. 10.1021/acs.est.2c09264
49. Evaluating the PurpleAir monitor as an aerosol light scattering instrument J. Ouimette et al. 10.5194/amt-15-655-2022
50. A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al. 10.1021/acsearthspacechem.1c00391
51. Impactos na saúde humana causados pela exposição a incêndios florestais: as evidências obtidas nas últimas duas décadas S. Caumo et al. 10.55761/abclima.v30i18.15130