142 citations as recorded by crossref.

1. Evaluating the PurpleAir monitor as an aerosol light scattering instrument J. Ouimette et al.
2. Sizing Accuracy of Low-Cost Optical Particle Sensors Under Controlled Laboratory Conditions P. Gautam et al.
3. Inteligentny system identyfikacji zanieczyszczenia powietrza = Intelligent air pollution identification system M. Szwed
4. Evaluation of aerosol-spectrometer based PM2.5 and PM10 mass concentration measurement using ambient-like model aerosols in the laboratory T. Wu et al.
5. Non-Stokes deposition velocities observed under Rayleigh–Bénard turbulence K. Swartz-Schult et al.
6. Improving PM10 sensor accuracy in urban areas through calibration in Timișoara R. Blaga & S. Gautam
7. Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal models K. Glenn et al.
8. Performance evaluation of Atmotube PRO sensors for air quality measurements in an urban location A. Shittu et al.
9. Air Pollution Measurements and Land-Use Regression in Urban Sub-Saharan Africa Using Low-Cost Sensors—Possibilities and Pitfalls A. Abera et al.
10. Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al.
11. Multi-Sensor Instrument for Aerosol In Situ Measurements I. Bruchkouski et al.
12. In-situ observations of charged Saharan dust from an uncrewed aircraft system V. Savvakis et al.
13. Comparing human exposure to fine particulate matter in low and high-income countries: A systematic review of studies measuring personal PM2.5 exposure S. Lim et al.
14. Lower atmospheric profiling for climate studies pertaining to aerosols, radiation and turbulence using Unmanned Aerial System in India: Initial results P. B et al.
15. MitH: A framework for Mitigating Hygroscopicity in low-cost PM sensors M. Casari & L. Po
16. Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al.
17. Portable Air Cleaner Usage and Particulate Matter Exposure Reduction in an Environmental Justice Community: A Pilot Study A. McIntyre et al.
18. Can 10× cheaper, lower-efficiency particulate air filters and box fans complement High-Efficiency Particulate Air (HEPA) purifiers to help control the COVID-19 pandemic? D. Srikrishna
19. Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy V. Malyan et al.
20. A review of machine learning approaches for improving calibration and performance of low-cost air quality sensor networks C. Yan
21. A Swirling-Flow-Enhanced Triboelectric Nanogenerator for Improved Dilute-Phase Particle Sensing M. Zhang et al.
22. Ubiquitous monitoring of the environment and menopause Y. Celik & A. Godfrey
23. Performance evaluation of commercially available non-regulatory instruments and sensors in smoke for PM, CO, CO 2 , NO 2, and SO 2 M. Landis et al.
24. 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.
25. Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India M. Campmier et al.
26. Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Toward Automatic Air Quality Monitoring in Urban Environments G. Ramirez-Espinosa et al.
27. Community based air pollution measurements in Europe: Opportunities and challenges A. Viitanen et al.
28. Using low-cost particle sensors in HVAC ducts V. Gentile et al.
29. Applicability of the low-cost OPC-N3 optical particle counter for microphysical measurements of fog K. Nurowska et al.
30. Indoor–Outdoor Oxidative Potential of PM2.5 in Wintertime Fairbanks, Alaska: Impact of Air Infiltration and Indoor Activities Y. Yang et al.
31. A study on the performance of low-cost sensors for source apportionment at an urban background site D. Bousiotis et al.
32. An approach enabling Accuracy-as-a-Service for resistance-based sensors using intelligent Digital Twins V. Stegmaier et al.
33. Calibration method of particulate matter sensor based on density peaks clustering combined with stacking algorithm J. Lu et al.
34. Evaluation of Measurement Reliability of Light-scattering PM2.5 Monitor Applied with Referenced-channel Calibration Technology J. Ryu et al.
35. Using Indoor and Outdoor Measurements to Understand Building Protectiveness against Wildfire, Atmospheric Inversion, and Firework PM2.5 Pollution Events D. Mendoza et al.
36. Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al.
37. Significance of Meteorological Feature Selection and Seasonal Variation on Performance and Calibration of a Low-Cost Particle Sensor V. Kumar et al.
38. Assessment of PM2.5 concentrations, transport, and mitigation in indoor environments using low-cost air quality monitors and a portable air cleaner S. Sankhyan et al.
39. Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment D. Bousiotis et al.
40. The impact of COVID-19 public health restrictions on particulate matter pollution measured by a validated low-cost sensor network in Oxford, UK T. Bush et al.
41. Investigating transport of particulate matter from cooking emissions in a multi-story house using low-cost sensor measurements and different modeling approaches A. Martin et al.
42. Optical Mie Scattering Concentration-Dynamics Tracer Joint Detection Method for Micron-Nano Dust in GIS/GIL Systems X. Li et al.
43. Performance of low-cost PM 2.5 monitors during the HOMEChem experiment J. Gingrich et al.
44. Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test house A. Thakur et al.
45. Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al.
46. Field calibration and performance evaluation of low-cost sensors for monitoring airborne PM in the occupational mining environment A. Penchala et al.
47. 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.
48. Physics-informed calibration model for enhanced accuracy in particulate matter monitoring integrating clustering algorithms with field validation Z. Feng et al.
49. Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem J. Kelly et al.
50. Optimisation of supercritical fluid extraction of orange (Citrus sinenis L.) peel essential oil and its physicochemical properties W. Ling Felicia et al.
51. A novel low-cost sensors system for real-time multipollutant indoor air quality monitoring – Development and performance H. Chojer et al.
52. Enhancing Accuracy of Indoor Air Quality Sensors via Automated Machine Learning Calibration J. Qian et al.
53. Influence of Particle Composition and Size on the Accuracy of Low Cost PM Sensors: Findings From Field Campaigns E. Gramsch et al.
54. Cost-effective indoor air quality monitoring in schools: in-field calibration of PM low-cost sensor J. Sá et al.
55. Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al.
56. Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al.
57. Innovative Wearable Technology for Visually Impaired N. Azizan et al.
58. Response of low-cost sensors to high PM 2.5 concentrations during bushfire and haze events X. Liu et al.
59. Longevity of size-dependent particle removal performance of do-it-yourself box fan air filters T. Pistochini et al.
60. Field evaluation of community condensation particle counters, optical particle counters, and a low-cost particle sensor X. Wang et al.
61. A Systematic Study of Popular Software Packages and AI/ML Models for Calibrating In Situ Air Quality Data: An Example with Purple Air Sensors S. Smith et al.
62. In-situ validation of embedded physics-based calibration in low-cost particulate matter sensor for urban air quality monitoring Z. Feng et al.
63. Contaminated Tijuana River Contributes to Regional Particulate Matter (PM) Levels Highlighting Overlooked Water–Air Transfer of Gaseous PM Precursors K. Cysneiros de Carvalho et al.
64. Spatio-temporal analysis of bicyclists’ PM2.5 exposure levels in a medium sized urban agglomeration M. Tames et al.
65. Measurement report: Microphysical and optical characteristics of radiation fog – a study using in situ, remote sensing, and balloon techniques K. Nurowska et al.
66. Improving Low-Cost Optical PM Sensor Accuracy in Humid Conditions via Aerosol Liquid Water Estimation Using U.S. EPA CSN Data Y. Guo et al.
67. Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al.
68. Evaluation of a low-cost multi-channel monitor for indoor air quality through a novel, low-cost, and reproducible platform A. Baldelli
69. Aerial monitoring of atmospheric particulate matter produced by open-pit mining using low-cost airborne sensors A. Zafra-Pérez et al.
70. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations F. Bulot et al.
71. Bias in PM2.5 measurements using collocated reference-grade and optical instruments M. Kushwaha et al.
72. Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning Y. Colléaux et al.
73. Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation A. Mynard et al.
74. Assessing the sources of particles at an urban background site using both regulatory instruments and low-cost sensors – a comparative study D. Bousiotis et al.
75. Estimating Variation and Sources of Dust in Puente Jobos, Puerto Rico, Using a PM10 Sensor Network A. Holder et al.
76. Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign V. Malyan et al.
77. Development of ASTM International D8405—Standard Test Method for Evaluating PM 2.5 Sensors or Sensor Systems Used in Indoor Applications W. Mui et al.
78. Performance Assessment of Low- and Medium-Cost PM2.5 Sensors in Real-World Conditions in Central Europe B. Atfeh et al.
79. SENSORES DE MATERIAL PARTICULADO EN SUSPENSIÓN DE BAJO COSTO: INTEGRACIÓN AL MONITOREO DE LA CALIDAD DEL AIRE D. Gomez & J. Vassallo
80. 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.
81. Quantification of Respirable Dust Concentration at an Underground Copper Mine Using a Personal Optical Particle Counter L. Nabiwa et al.
82. Deriving the hygroscopicity of ambient particles using low-cost optical particle counters W. Huang et al.
83. Using low-cost sensors to assess common air pollution sources across multiple residences C. Rathbone et al.
84. Introducing Project-Based Climate Education in Moroccan Universities via a New Air Quality Monitoring Network in Rabat M. Lbadaoui-Darvas et al.
85. Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models B. Prajapati et al.
86. Evaluation of urban PM2.5 concentrations over 73 major cities and their association with satellite Aerosol Optical Depth: A global analysis of ambient air pollution D. Stratoulias et al.
87. Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al.
88. Low‐cost air quality monitoring networks for long‐term field campaigns: A review F. Carotenuto et al.
89. Design and Evaluation of a Calibration Chamber for Low-Cost PM Sensors–Part 1: Number Concentration-Based Assessment V. Malyan et al.
90. Determination of Hygroscopic Aerosol Growth Based on the OPC-N3 Counter K. Nurowska & K. Markowicz
91. Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al.
92. Air Sensor Network Analysis Tool: R-Shiny Application K. Barkjohn et al.
93. Twenty Years of High Spatiotemporal Resolution Estimates of Daily PM2.5 in West Africa Using Satellite Data, Surface Monitors, and Machine Learning D. Westervelt et al.
94. Low-Cost PM2.5 Sensor Performance Characteristics against Meteorological Influence in Sub-Saharan Africa: Evidence from the Air Sensor Evaluation and Training Facility for the West Africa Project J. Nimo et al.
95. AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin M. Casari et al.
96. Laboratory evaluation of the effects of particle size and composition on the performance of integrated devices containing Plantower particle sensors Y. Zou et al.
97. Impact of Wildfire Smoke PM2.5 on Indoor Air Quality of Public Buildings on a University Campus R. Afroz et al.
98. Drone-based vertical profiling of particulate matter size distribution and carbonaceous aerosols: urban vs. rural environment K. Julaha et al.
99. Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site L. Yang et al.
100. A systematic investigation on the effects of temperature and relative humidity on the performance of eight low-cost particle sensors and devices Y. Zou et al.
101. Wintertime spatial patterns of particulate matter in Fairbanks, AK during ALPACA 2022 E. Robinson et al.
102. Quantifying and improving performance of a low-cost PM sensor used for occupational hygiene applications S. Ruiter et al.
103. Exploring Environmental and Temporal Performances of Machine Learning Models for Calibration of a Low-Cost PM2.5 Sensor R. Wathore et al.
104. Unveiling the potential of a novel portable air quality platform for assessment of fine and coarse particulate matter: in-field testing, calibration, and machine learning insights D. Topalović et al.
105. Development and evaluation of correction models for a low-cost fine particulate matter monitor B. Nilson et al.
106. Inter- versus Intracity Variations in the Performance and Calibration of Low-Cost PM2.5 Sensors: A Multicity Assessment in India S. V et al.
107. In-situ Validation of Low-cost Sensors Based on Physical Calibration Model X. Li et al.
108. Monitoring wind and particle concentrations near freshwater and marine harmful algal blooms (HABs) L. Bilyeu et al.
109. Comparison of Sensors for Air Quality Monitoring with Reference Methods in Zagreb, Croatia S. Davila et al.
110. Reliability Assessment of Low-Cost PM Sensors Under High Humidity and High PM Level Outdoor Conditions G. Kumar et al.
111. Sensortoolkit—A Python Library for Standardizing the Ingestion, Analysis, and Reporting of Air Sensor Data for Performance Evaluation M. Kumar et al.
112. Portable Low-Cost Sensors for Environmental Monitoring in China: A Comprehensive Review of Application, Challenges, and Opportunities C. Yang et al.
113. High-resolution urban air pollution mapping J. Apte & C. Manchanda
114. Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al.
115. Monitoring of PM2.5 Using Well-Calibrated Low-Cost Sensors over One Year in Burkina Faso B. Nana et al.
116. Data collected by a drone backpack for air quality and atmospheric state measurements during Pallas Cloud Experiment 2022 (PaCE2022) D. Brus et al.
117. 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.
118. Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al.
119. Spatial and temporal variability of surface dust concentration in western Crete (Greece) – Development of a monitoring network S. Bitzan et al.
120. Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring N. Zimmerman
121. Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al.
122. Coincidence effect of a low-cost particulate matter sensor: Observations from environmental chamber tests at diverse particle concentrations K. Kim et al.
123. Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors K. Kaur & K. Kelly
124. Evaluation of Long-Term Performance of Six PM2.5 Sensor Types K. Barkjohn et al.
125. Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al.
126. Size-Resolved Field Performance of Low-Cost Sensors for Particulate Matter Air Pollution E. Molina Rueda et al.
127. Insights into the utility of small form air quality monitoring in health care environments: lessons learned from the University Hospitals Birmingham NHS Foundation Trust N. Cowell et al.
128. Assessments and application of low-cost sensors to study indoor air quality in layer facilities R. Afroz et al.
129. Can data reliability of low-cost sensor devices for indoor air particulate matter monitoring be improved? – An approach using machine learning H. Chojer et al.
130. Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al.
131. Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance F. Bulot et al.
132. A Novel Bike-Mounted Sensing Device with Cloud Connectivity for Dynamic Air-Quality Monitoring by Urban Cyclists J. Gómez-Suárez et al.
133. Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions M. Mathieu-Campbell et al.
134. Application and validation of a wearable monitor for assessing time- and location-resolved exposures to particulate matter in California’s Central Valley X. Li et al.
135. High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data A. Kar et al.
136. Using in-situ CO2, PM1, PM2.5, and PM10 measurements to assess air change rates and indoor aerosol dynamics S. Westgate & N. Ng
137. Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability J. Kang & K. Choi
138. Can commercial Doppler lidars serve air quality applications? Results from a field comparison with PM 10 , PM 2.5 , and granulometric observations in a multi-influenced harbor city E. Dieudonné et al.
139. Measuring Particulate Matter: An Investigation on Sensor Technology, Particle Size, Monitoring Site F. Gandino et al.
140. Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al.
141. Development of Particle Size Resolution Evaluation Method of OPC-type Low-cost and Mid-to-low cost Dust Sensors H. Kim et al.
142. A MISR-Based Method for the Estimation of Particle Size Distribution: Comparison with AERONET over China Y. Shao et al.