84 citations as recorded by crossref.

1. Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution A. Masic et al. 10.5194/amt-13-6427-2020
2. Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al. 10.1039/D2EA00149G
3. AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin M. Casari et al. 10.3390/s23239446
4. Size-Resolved Field Performance of Low-Cost Sensors for Particulate Matter Air Pollution E. Molina Rueda et al. 10.1021/acs.estlett.3c00030
5. Calibration method of ultra-low emission particulate concentration measurement by light scattering method L. Hui 10.1515/teme-2021-0114
6. Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al. 10.1016/j.jaerosci.2020.105654
7. 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
8. Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al. 10.1016/j.buildenv.2021.108398
9. Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific Northwest M. Chakraborty et al. 10.5194/amt-16-2333-2023
10. A Review of Low-Cost Particulate Matter Sensors from the Developers’ Perspectives B. Alfano et al. 10.3390/s20236819
11. Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative F. Reisen et al. 10.3390/s21217206
12. From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors M. Giordano et al. 10.1016/j.jaerosci.2021.105833
13. The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
14. Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy V. Malyan et al. 10.1016/j.apr.2023.102027
15. Ambient characterisation of PurpleAir particulate matter monitors for measurements to be considered as indicative A. Caseiro et al. 10.1039/D2EA00085G
16. 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
17. Exploring particle concentrations and inside-to-outside ratios in vehicles: A real-time road test study D. Wang et al. 10.1016/j.scitotenv.2024.170783
18. Field Evaluation of Low-Cost PM Sensors (Purple Air PA-II) Under Variable Urban Air Quality Conditions, in Greece I. Stavroulas et al. 10.3390/atmos11090926
19. 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
20. Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors J. Wesseling et al. 10.3390/ijerph18116007
21. Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution H. Madokoro et al. 10.3390/s21144881
22. Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research J. Venkatraman Jagatha et al. 10.3390/s21123960
23. Traceable PM2.5 and PM10 Calibration of Low-Cost Sensors with Ambient-like Aerosols Generated in the Laboratory S. Horender et al. 10.3390/app11199014
24. 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
25. Recent developments in polysaccharide-based electrospun nanofibers for environmental applications Z. Raza et al. 10.1016/j.carres.2021.108443
26. 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
27. 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
28. Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled Environment A. Chattopadhyay et al. 10.1109/JSEN.2022.3172864
29. SensEURCity: A multi-city air quality dataset collected for 2020/2021 using open low-cost sensor systems M. Van Poppel et al. 10.1038/s41597-023-02135-w
30. The value of adding black carbon to community monitoring of particulate matter R. Sugrue et al. 10.1016/j.atmosenv.2024.120434
31. Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
32. Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in Norway M. Vogt et al. 10.3390/atmos12080961
33. Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating A. Hassani et al. 10.1016/j.atmosenv.2023.120108
34. Challenges in Detecting Clouds in Polar Regions Using a Drone with Onboard Low-Cost Particle Counter J. Inoue & K. Sato 10.1016/j.atmosenv.2023.120085
35. Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
36. Farmers and Local Residents Collaborate: Application of a Participatory Citizen Science Approach to Characterising Air Quality in a Rural Area in The Netherlands A. Woutersen et al. 10.3390/s22208053
37. 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
38. A Real-Time Comparison of Four Particulate Matter Size Fractions in the Personal Breathing Zone of Paris Subway Workers: A Six-Week Prospective Study R. Pétremand et al. 10.3390/su14105999
39. 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
40. Low-cost air quality monitoring system design and comparative analysis with a conventional method M. Jacob et al. 10.1007/s40095-021-00415-y
41. Evaluating the PurpleAir monitor as an aerosol light scattering instrument J. Ouimette et al. 10.5194/amt-15-655-2022
42. Development and Testing of a Rocket-Based Sensor for Atmospheric Sensing Using an Unmanned Aerial System R. Thalman 10.3390/s24061768
43. Laboratory Evaluation of Low-Cost Optical Particle Counters for Environmental and Occupational Exposures S. Sousan et al. 10.3390/s21124146
44. Intelligent and Scalable Air Quality Monitoring With 5G Edge X. Su et al. 10.1109/MIC.2021.3059189
45. GeoAir—A Novel Portable, GPS-Enabled, Low-Cost Air-Pollution Sensor: Design Strategies to Facilitate Citizen Science Research and Geospatial Assessments of Personal Exposure Y. Park et al. 10.3390/s21113761
46. Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device J. Taamté et al. 10.1088/1748-0221/19/05/P05036
47. Integrated evanescent field detector for ultrafine particles—theory and concept A. Buchberger et al. 10.1364/OE.394396
48. Performance assessment of NOVA SDS011 low-cost PM sensor in various microenvironments A. Božilov et al. 10.1007/s10661-022-10290-7
49. Long-Term Characterization of Indoor Air Quality at a Research Area Building: Comparing Reference Instruments and Low-Cost Sensors M. Calvello et al. 10.1155/2024/8799498
50. Utilization of scattering and absorption-based particulate matter sensors in the environment impacted by residential wood combustion J. Kuula et al. 10.1016/j.jaerosci.2020.105671
51. Added Value of Vaisala AQT530 Sensors as a Part of a Sensor Network for Comprehensive Air Quality Monitoring T. Petäjä et al. 10.3389/fenvs.2021.719567
52. Fine particulate matter (PM2.5) exposure assessment among active daily commuters to induce behaviour change to reduce air pollution A. Ilenič et al. 10.1016/j.scitotenv.2023.169117
53. 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
54. Laboratory evaluation of the effects of particle size and composition on the performance of integrated devices containing Plantower particle sensors Y. Zou et al. 10.1080/02786826.2021.1905148
55. Learning Calibration Functions on the Fly: Hybrid Batch Online Stacking Ensembles for the Calibration of Low-Cost Air Quality Sensor Networks in the Presence of Concept Drift E. Bagkis et al. 10.3390/atmos13030416
56. EEATC: A Novel Calibration Approach for Low-Cost Sensors M. Narayana et al. 10.1109/JSEN.2023.3304366
57. Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors N. Nalakurthi et al. 10.3390/s24113650
58. High-resolution large-eddy simulation of indoor turbulence and its effect on airborne transmission of respiratory pathogens—Model validation and infection probability analysis M. Auvinen et al. 10.1063/5.0076495
59. Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes K. Kelly et al. 10.1021/acs.est.0c02341
60. Quantification of aerosol dispersal from suspected aerosol-generating procedures R. Strand-Amundsen et al. 10.1183/23120541.00206-2021
61. SENSORES DE MATERIAL PARTICULADO EN SUSPENSIÓN DE BAJO COSTO: INTEGRACIÓN AL MONITOREO DE LA CALIDAD DEL AIRE D. Gomez & J. Vassallo 10.22201/iingen.0718378xe.2023.16.3.86568
62. Application of Machine Learning for the in-Field Correction of a PM2.5 Low-Cost Sensor Network W. Wang et al. 10.3390/s20175002
63. Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter M. Aix et al. 10.1016/j.scitotenv.2023.164063
64. Silicon Nitride Photonic Particle Detector—Experiments and Model Assessment A. Buchberger et al. 10.1109/JSEN.2021.3087633
65. A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy 10.3390/atmos15030304
66. Evaluation of a new low-cost particle sensor as an internet-of-things device for outdoor air quality monitoring F. Roberts et al. 10.1080/10962247.2022.2093293
67. Selective Detection of Functionalized Carbon Particles based on Polymer Semiconducting and Conducting Devices as Potential Particulate Matter Sensors Y. Song et al. 10.1002/smll.202310527
68. Sens-BERT: A BERT-Based Approach for Enabling Transferability and Re-Calibration of Calibration Models for Low-Cost Sensors Under Reference Measurements Scarcity M. Narayana et al. 10.1109/JSEN.2024.3362962
69. 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
70. How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
71. Statistics of a Sharp GP2Y Low-Cost Aerosol PM Sensor Output Signals K. Bučar et al. 10.3390/s20236707
72. Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al. 10.3390/atmos14030540
73. 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
74. Evaluation and Application of a Novel Low-Cost Wearable Sensing Device in Assessing Real-Time PM2.5 Exposure in Major Asian Transportation Modes W. Wang et al. 10.3390/atmos12020270
75. Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor K. Barkjohn et al. 10.5194/amt-14-4617-2021
76. Wildfire smoke impacts on indoor air quality assessed using crowdsourced data in California Y. Liang et al. 10.1073/pnas.2106478118
77. Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal models K. Glenn et al. 10.1038/s41598-023-30778-7
78. Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors K. Kaur & K. Kelly 10.1016/j.jaerosci.2023.106181
79. Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application A. Hassani et al. 10.1016/j.scs.2023.104607
80. Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning A. Hassani et al. 10.1021/acs.est.3c03661
81. Real-time in situ monitoring of dust particle growth in a low-pressure nanodusty plasma based on laser-induced photodetachment T. Donders & J. Beckers 10.1063/5.0188876
82. Outward and inward protection efficiencies of different mask designs for different respiratory activities X. Koh et al. 10.1016/j.jaerosci.2021.105905
83. Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
84. Comparison of Low-Cost Particulate Matter Sensors for Indoor Air Monitoring during COVID-19 Lockdown M. Kaliszewski et al. 10.3390/s20247290