131 citations as recorded by crossref.

1. Examining the functional range of commercially available low‐cost airborne particle sensors and consequences for monitoring of indoor air quality in residences Y. Zou et al. 10.1111/ina.12621
2. Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network E. Considine et al. 10.1016/j.envpol.2020.115833
3. Low-Cost Sensors for Air Quality Monitoring - the Current State of the Technology and a Use Overview P. Buček et al. 10.2478/cdem-2021-0003
4. Using a low-cost monitor to assess the impact of leaf blowers on particle pollution during street cleaning I. Costa-Gómez et al. 10.1007/s11869-019-00768-8
5. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project S. Kimbrough et al. 10.3390/chemosensors7020026
6. Phase-wise analysis of the COVID-19 lockdown impact on aerosol, radiation and trace gases and associated chemistry in a tropical rural environment C. Jain et al. 10.1016/j.envres.2020.110665
7. A temporally-calibrated method for crowdsourcing based mapping of intra-urban PM2.5 concentrations Z. Zheng et al. 10.1016/j.jclepro.2020.122347
8. Air quality during and after the Commonwealth Games 2018 in Australia: Multiple benefits of monitoring T. Kuhn et al. 10.1016/j.jaerosci.2020.105707
9. Creating Clean Air Spaces During Wildland Fire Smoke Episodes: Web Summit Summary G. Davison et al. 10.3389/fpubh.2021.508971
10. The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems M. Landis et al. 10.1016/j.atmosenv.2020.118165
11. Long-term evaluation and calibration of three types of low-cost PM2.5 sensors at different air quality monitoring stations G. Hong et al. 10.1016/j.jaerosci.2021.105829
12. Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi T. Zheng et al. 10.5194/amt-12-5161-2019
13. In-car and Near-road Exposure to PM2.5 and BC C. Ma & G. Kang 10.5572/ajae.2020.14.2.146
14. Concurrent assessment of personal, indoor, and outdoor PM 2.5 and PM 1 levels and source contributions using novel low‐cost sensing devices S. Lung et al. 10.1111/ina.12763
15. Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring M. Badura et al. 10.1155/2018/5096540
16. Response of eight low-cost particle sensors and consumer devices to typical indoor emission events in a real home (ASHRAE 1756-RP) Y. Zou et al. 10.1080/23744731.2019.1676094
17. Field Evaluation of Low-Cost Particulate Matter Sensors in Beijing H. Mei et al. 10.3390/s20164381
18. Intra–Community Scale Variability of Air Quality in the Center of a Megacity in South Korea: A High-Density Cost-Effective Sensor Network Y. Park et al. 10.3390/app11199105
19. Association Between Bedroom Particulate Matter Filtration and Changes in Airway Pathophysiology in Children With Asthma X. Cui et al. 10.1001/jamapediatrics.2020.0140
20. Sensors and Analytical Technologies for Air Quality: Particulate Matters and Bioaerosols X. Su et al. 10.1002/asia.202001051
21. Validation of Low-Cost Sensors in Measuring Real-Time PM10 Concentrations at Two Sites in Delhi National Capital Region R. Sahu et al. 10.3390/s20051347
22. Oral cavity response to air pollutant exposure and association with pulmonary inflammation and symptoms in asthmatic children L. He et al. 10.1016/j.envres.2021.112275
23. Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a South-Eastern European site G. Kosmopoulos et al. 10.1016/j.scitotenv.2020.141396
24. Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale J. Bi et al. 10.1021/acs.est.9b06046
25. Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods M. Si et al. 10.5194/amt-13-1693-2020
26. Use of low-cost PM monitors and a multi-wavelength aethalometer to characterize PM2.5 in the Yakama Nation reservation O. Stampfer et al. 10.1016/j.atmosenv.2020.117292
27. Measurement and Monitoring of Particulate Matter in Construction Sites: Guidelines for Gravimetric Approach I. Araújo & D. Costa 10.3390/su14010558
28. Estimation of aerosol liquid water from optical scattering instruments using ambient and dried sample streams J. Zhang et al. 10.1016/j.atmosenv.2020.117787
29. Assessment and Improvement of Two Low-Cost Particulate Matter Sensor Systems by Using Spatial Interpolation Data from Air Quality Monitoring Stations C. Liang & P. Yu 10.3390/atmos12030300
30. Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration F. Concas et al. 10.1145/3446005
31. Low-Cost Air Quality Sensors: One-Year Field Comparative Measurement of Different Gas Sensors and Particle Counters with Reference Monitors at Tušimice Observatory P. Bauerová et al. 10.3390/atmos11050492
32. From air quality sensors to sensor networks: Things we need to learn Y. Li et al. 10.1016/j.snb.2021.130958
33. Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile M. Tagle et al. 10.1007/s10661-020-8118-4
34. Insights about the Sources of PM2.5 in an Urban Area from Measurements of a Low-Cost Sensor Network G. Kosmopoulos et al. 10.3390/atmos13030440
35. 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
36. Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al. 10.1080/02786826.2019.1623863
37. How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
38. 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
39. 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
40. A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth – Part 3: Automation and design improvements E. Wendt et al. 10.5194/amt-14-6023-2021
41. Laboratory and field evaluation of real-time and near real-time PM2.5 smoke monitors A. Mehadi et al. 10.1080/10962247.2019.1654036
42. Field Calibration and Evaluation of an Internet-of-Things-Based Particulate Matter Sensor N. Cowell et al. 10.3389/fenvs.2021.798485
43. Development of Particle Condensation System (PCS) Sampler for Semi-continuous Measurements of Water Soluble Aerosol Chemical Composition J. Ban et al. 10.5572/KOSAE.2019.35.6.802
44. Applicability of factory calibrated optical particle counters for high-density air quality monitoring networks in Ghana C. Gameli Hodoli et al. 10.1016/j.heliyon.2020.e04206
45. Spatial and Temporal Variations in SO2 and PM2.5 Levels Around Kīlauea Volcano, Hawai'i During 2007–2018 R. Whitty et al. 10.3389/feart.2020.00036
46. Children’s microenvironmental exposure to PM2.5 and ozone and the impact of indoor air filtration K. Barkjohn et al. 10.1038/s41370-020-00266-5
47. Examination of monitoring approaches for ambient air pollution: A case study for India M. Brauer et al. 10.1016/j.atmosenv.2019.116940
48. Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment F. Bulot et al. 10.1038/s41598-019-43716-3
49. Evaluation methods for low-cost particulate matter sensors J. Bean 10.5194/amt-14-7369-2021
50. Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study M. Zusman et al. 10.1016/j.envint.2019.105329
51. Calibration of low-cost PurpleAir outdoor monitors using an improved method of calculating PM L. Wallace et al. 10.1016/j.atmosenv.2021.118432
52. Evaluation of two collocated federal equivalent method PM2.5 instruments over a wide range of concentrations in Sarajevo, Bosnia and Herzegovina G. Hagler et al. 10.1016/j.apr.2022.101374
53. Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors J. Kuula et al. 10.5194/amt-13-2413-2020
54. The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
55. Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring N. Zimmerman 10.1016/j.jaerosci.2021.105872
56. The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods X. Qin et al. 10.1016/j.scitotenv.2020.136791
57. 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
58. Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools C. Mullen et al. 10.1016/j.envres.2020.109543
59. Global Ozone (GO3) Project and AQTreks: Use of evolving technologies by students and citizen scientists to monitor air pollutants J. Ellenburg et al. 10.1016/j.aeaoa.2019.100048
60. Publicly available low-cost sensor measurements for PM2.5 exposure modeling: Guidance for monitor deployment and data selection J. Bi et al. 10.1016/j.envint.2021.106897
61. Long-Term Evaluation and Calibration of Low-Cost Particulate Matter (PM) Sensor H. Lee et al. 10.3390/s20133617
62. A data-driven approach for characterizing community scale air pollution exposure disparities in inland Southern California K. Do et al. 10.1016/j.jaerosci.2020.105704
63. Evaluating the PurpleAir monitor as an aerosol light scattering instrument J. Ouimette et al. 10.5194/amt-15-655-2022
64. Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective A. Kaginalkar et al. 10.1016/j.uclim.2021.100972
65. Monitoring Excess Exposure to Air Pollution for Professional Drivers in London Using Low-Cost Sensors L. Frederickson et al. 10.3390/atmos11070749
66. Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
67. 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. 10.1016/j.jaerosci.2020.105715
68. Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2.5 sensor V. Kumar & M. Sahu 10.1016/j.jaerosci.2021.105809
69. Improved PM2.5 concentration estimates from low-cost sensors using calibration models categorized by relative humidity J. Hua et al. 10.1080/02786826.2021.1873911
70. Estimating Mass Concentration Using a Low-cost Portable Particle Counter Based on Full-year Observations: Issues to Obtain Reliable Atmospheric PM2.5 Data S. Ueda et al. 10.5572/ajae.2020.14.2.155
71. Low-cost monitoring of atmospheric PM—development and testing C. Báthory et al. 10.1016/j.jenvman.2021.114158
72. Calibrating low-cost sensors for ambient air monitoring: Techniques, trends, and challenges L. Liang 10.1016/j.envres.2021.111163
73. Environmental Particulate Matter (PM) Exposure Assessment of Construction Activities Using Low-Cost PM Sensor and Latin Hypercubic Technique M. Khan et al. 10.3390/su13147797
74. Low Cost Sensor Networks: How Do We Know the Data Are Reliable? D. Williams 10.1021/acssensors.9b01455
75. Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions K. Ardon-Dryer et al. 10.5194/amt-13-5441-2020
76. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. 10.5194/acp-21-14089-2021
77. Role of endogenous melatonin in pathophysiologic and oxidative stress responses to personal air pollutant exposures in asthmatic children L. He et al. 10.1016/j.scitotenv.2021.145709
78. Effects of individual ozone exposure on lung function in the elderly: a cross-sectional study in China J. Zhang et al. 10.1007/s11356-019-04324-w
79. Estimating long‐term time‐resolved indoor PM 2.5 of outdoor and indoor origin using easily obtainable inputs T. Xia et al. 10.1111/ina.12905
80. Extended fumigation effect on surface and boundary layer aerosol concentrations observed during solar eclipse M. Ratnam et al. 10.1016/j.apr.2020.10.003
81. 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. 10.5194/amt-14-4139-2021
82. Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study L. Rocha-Melogno et al. 10.1016/j.scitotenv.2020.139495
83. Application of Machine Learning for the in-Field Correction of a PM2.5 Low-Cost Sensor Network W. Wang et al. 10.3390/s20175002
84. Characterizing outdoor infiltration and indoor contribution of PM2.5 with citizen-based low-cost monitoring data J. Bi et al. 10.1016/j.envpol.2021.116763
85. Wildfire smoke impacts on indoor air quality assessed using crowdsourced data in California Y. Liang et al. 10.1073/pnas.2106478118
86. Qualification of the Alphasense optical particle counter for inline air quality monitoring S. Bezantakos et al. 10.1080/02786826.2020.1864276
87. Malondialdehyde in Nasal Fluid: A Biomarker for Monitoring Asthma Control in Relation to Air Pollution Exposure L. He et al. 10.1021/acs.est.0c02558
88. Evaluation of the Performance of Low-Cost Air Quality Sensors at a High Mountain Station with Complex Meteorological Conditions H. Li et al. 10.3390/atmos11020212
89. The Impacts of Prescribed Fire on PM2.5 Air Quality and Human Health: Application to Asthma-Related Emergency Room Visits in Georgia, USA R. Huang et al. 10.3390/ijerph16132312
90. Domain Adaptation-Based Deep Calibration of Low-Cost PM₂.₅ Sensors S. Jha et al. 10.1109/JSEN.2021.3118454
91. Visualization of Dust Generation in Outdoor Workplaces Using A Wearable Particle Monitor and Global Navigation Satellite System S. SEKOGUCHI et al. 10.7888/juoeh.44.1
92. Performance of low-cost indoor air quality monitors for PM2.5 and PM10 from residential sources Z. Wang et al. 10.1016/j.buildenv.2020.106654
93. Performance of a Low-Cost Sensor Community Air Monitoring Network in Imperial County, CA P. English et al. 10.3390/s20113031
94. Humidity, density, and inlet aspiration efficiency correction improve accuracy of a low-cost sensor during field calibration at a suburban site in the North-Western Indo-Gangetic plain (NW-IGP) H. Pawar & B. Sinha 10.1080/02786826.2020.1719971
95. Assessing the accuracy of low-cost optical particle sensors using a physics-based approach D. Hagan & J. Kroll 10.5194/amt-13-6343-2020
96. Performance Assessment of a Low-Cost PM2.5 Sensor for a near Four-Month Period in Oslo, Norway H. Liu et al. 10.3390/atmos10020041
97. Strategies of method selection for fine-scale PM<sub>2.5</sub> mapping in an intra-urban area using crowdsourced monitoring S. Xu et al. 10.5194/amt-12-2933-2019
98. A Multipollutant Smoke Emissions Sensing and Sampling Instrument Package for Unmanned Aircraft Systems: Development and Testing K. Nelson et al. 10.3390/fire2020032
99. Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al. 10.1016/j.atmosenv.2019.116946
100. Estimating the spatial variability of fine particles at the neighborhood scale using a distributed network of particle sensors R. Shafran-Nathan et al. 10.1016/j.atmosenv.2019.117011
101. Low-cost solar PV soiling sensor validation and size resolved soiling impacts: A comprehensive field study in Western India M. Valerino et al. 10.1016/j.solener.2020.03.118
102. Predicting Photovoltaic Soiling From Air Quality Measurements S. Toth et al. 10.1109/JPHOTOV.2020.2983990
103. Using a network of lower-cost monitors to identify the influence of modifiable factors driving spatial patterns in fine particulate matter concentrations in an urban environment S. Rose Eilenberg et al. 10.1038/s41370-020-0255-x
104. Evaluation of Two Low-Cost Optical Particle Counters for the Measurement of Ambient Aerosol Scattering Coefficient and Ångström Exponent K. Markowicz & M. Chiliński 10.3390/s20092617
105. 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
106. Assessing Inequitable Urban Heat Islands and Air Pollution Disparities with Low-Cost Sensors in Richmond, Virginia A. Eanes et al. 10.3390/su122310089
107. A new evaluation method of three different low-cost dust sensors using exponentially decaying particle concentrations K. Kang et al. 10.4491/eer.2020.501
108. Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes K. Kelly et al. 10.1021/acs.est.0c02341
109. Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice R. Tanzer et al. 10.3390/ijerph16142523
110. 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
111. Effects of Road Traffic on the Accuracy and Bias of Low-Cost Particulate Matter Sensor Measurements in Houston, Texas T. Oluwadairo et al. 10.3390/ijerph19031086
112. Evaluation of a low-cost multi-channel monitor for indoor air quality through a novel, low-cost, and reproducible platform A. Baldelli 10.1016/j.measen.2021.100059
113. The effects of ventilation and filtration on indoor PM2.5 in office buildings in four countries E. Jones et al. 10.1016/j.buildenv.2021.107975
114. Associations of personal exposure to air pollutants with airway mechanics in children with asthma L. He et al. 10.1016/j.envint.2020.105647
115. Fusion of Environmental Sensing on PM2.5 and Deep Learning on Vehicle Detecting for Acquiring Roadside PM2.5 Concentration Increments W. Wang et al. 10.3390/s20174679
116. Calibration of CO, NO2, and O3 Using Airify: A Low-Cost Sensor Cluster for Air Quality Monitoring M. Ionascu et al. 10.3390/s21237977
117. Laboratory Evaluations of Correction Equations with Multiple Choices for Seed Low-Cost Particle Sensing Devices in Sensor Networks W. Wang et al. 10.3390/s20133661
118. Detection of PM2.5 plume movement from IoT ground level monitoring data T. Kanabkaew et al. 10.1016/j.envpol.2019.05.082
119. Personal Exposure to PM2.5 Oxidative Potential in Association with Pulmonary Pathophysiologic Outcomes in Children with Asthma L. He et al. 10.1021/acs.est.0c06114
120. Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
121. Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics P. Sekula et al. 10.3390/s21092920
122. Connecting Air Quality with Emotional Well-Being and Neighborhood Infrastructure in a US City R. Lal et al. 10.1177/1178630220915488
123. Toxic volatile organic compounds in 20 homes in Shanghai: Concentrations, inhalation health risks, and the impacts of household air cleaning L. Fang et al. 10.1016/j.buildenv.2019.04.047
124. Elemental: An Open-Source Wireless Hardware and Software Platform for Building Energy and Indoor Environmental Monitoring and Control A. Ali et al. 10.3390/s19184017
125. 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
126. Measurement of Air Pollution Parameters in Montenegro Using the Ecomar System N. Zaric et al. 10.3390/ijerph18126565
127. Influence of particle properties and environmental factors on the performance of typical particle monitors and low-cost particle sensors in the market of China D. Wu et al. 10.1016/j.atmosenv.2021.118825
128. Application of low-cost fine particulate mass monitors to convert satellite aerosol optical depth to surface concentrations in North America and Africa C. Malings et al. 10.5194/amt-13-3873-2020
129. Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool V. Caquilpán P. et al. 10.1007/s10661-019-7875-4
130. An experimental application of laser-scattering sensor to estimate the traffic-induced PM2.5 in Beijing X. Liu et al. 10.1007/s10661-020-08398-9
131. Application and evaluation of a low-cost PM sensor and data fusion with CMAQ simulations to quantify the impacts of prescribed burning on air quality in Southwestern Georgia, USA R. Huang et al. 10.1080/10962247.2021.1924311