79 citations as recorded by crossref.

1. Low-cost sensor system for monitoring the oil mist concentration in a workshop H. Zhang et al. 10.1007/s11356-020-11709-9
2. Effect of micropillars with varying geometry and density on the efficiency of impaction-based quartz crystal microbalance aerosol sensors M. Hajizadehmotlagh & I. Paprotny 10.1063/1.5125895
3. Source specific exposure and risk assessment for indoor aerosols A. Koivisto et al. 10.1016/j.scitotenv.2019.02.398
4. Exploring the applicability and limitations of selected optical scattering instruments for PM mass measurement J. Zhang et al. 10.5194/amt-11-2995-2018
5. Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices M. Rogulski et al. 10.1051/shsconf/20185702009
6. The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog R. Jayaratne et al. 10.5194/amt-11-4883-2018
7. Visibility as a proxy for air quality in East Africa A. Singh et al. 10.1088/1748-9326/ab8b12
8. 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
9. Traffic pollution: A search for solutions for a city like Nairobi F. Rajé et al. 10.1016/j.cities.2018.05.008
10. Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al. 10.1021/acs.estlett.9b00393
11. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico S. Reece et al. 10.3390/s18124314
12. 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
13. Preliminary research for low-cost particulate matter sensor network C. Báthory et al. 10.1051/e3sconf/201910000004
14. Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al. 10.1016/j.atmosenv.2018.09.030
15. Evaluation of PM10 and PM2.5 Concentrations from Online Light Scattering Dust Monitors Using Gravimetric and Beta-ray Absorption Methods B. Lee & S. Park 10.5572/kosae.2019.35.3.357
16. Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments T. Zheng et al. 10.5194/amt-11-4823-2018
17. Image correlation method to simulate physical characteristic of particulate matter D. Gaur et al. 10.1007/s13198-019-00868-9
18. Development of a low-cost sensing platform for air quality monitoring: application in the city of Rome L. Shindler 10.1080/09593330.2019.1640290
19. Effects of aerosol type and simulated aging on performance of low-cost PM sensors J. Tryner et al. 10.1016/j.jaerosci.2020.105654
20. 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
21. 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
22. Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al. 10.1080/02786826.2019.1623863
23. How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations E. Brattich et al. 10.3390/s20113073
24. City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices S. Johnston et al. 10.3390/s19010209
25. 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
26. Effect of aerosol composition on the performance of low-cost optical particle counter correction factors L. Crilley et al. 10.5194/amt-13-1181-2020
27. MoreAir: A Low-Cost Urban Air Pollution Monitoring System I. Gryech et al. 10.3390/s20040998
28. Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution F. Bulot et al. 10.3390/s20082219
29. Measurements of PM<sub>2.5</sub> with PurpleAir under atmospheric conditions K. Ardon-Dryer et al. 10.5194/amt-13-5441-2020
30. 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
31. The Influence of Marine Traffic on Particulate Matter (PM) Levels in the Region of Danish Straits, North and Baltic Seas S. Firląg et al. 10.3390/su10114231
32. Laboratory evaluation of low-cost PurpleAir PM monitors and in-field correction using co-located portable filter samplers J. Tryner et al. 10.1016/j.atmosenv.2019.117067
33. Estimating fugitive particle emission from coal storage yard of thermal power plant using the flux-gradient method S. Kim et al. 10.1016/j.atmosenv.2020.117860
34. Airborne particulate matter monitoring in Kenya using calibrated low-cost sensors F. Pope et al. 10.5194/acp-18-15403-2018
35. Microfluidic condensation nanoparticle counter using water as the condensing liquid for assessing individual exposure to airborne nanoparticles H. Kwon et al. 10.1039/C9LC01003C
36. 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
37. Measuring Spatial and Temporal PM2.5 Variations in Sacramento, California, Communities Using a Network of Low-Cost Sensors A. Mukherjee et al. 10.3390/s19214701
38. An Optical Sampling System for Distributed Atmospheric Particulate Matter L. Lombardo et al. 10.1109/TIM.2019.2890885
39. 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
40. Assessing the accuracy of low-cost optical particle sensors using a physics-based approach D. Hagan & J. Kroll 10.5194/amt-13-6343-2020
41. Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado S. Feinberg et al. 10.5194/amt-11-4605-2018
42. Aerosol hygroscopicity: Hygroscopic growth proxy based on visibility for low-cost PM monitoring A. Molnár et al. 10.1016/j.atmosres.2019.104815
43. Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter A. Di Antonio et al. 10.3390/s18092790
44. Evaluation of PM2.5 measured in an urban setting using a low-cost optical particle counter and a Federal Equivalent Method Beta Attenuation Monitor B. Magi et al. 10.1080/02786826.2019.1619915
45. Analysis of the variability of airborne particulate matter with prevailing meteorological conditions across a semi-urban environment using a network of low-cost air quality sensors O. Omokungbe et al. 10.1016/j.heliyon.2020.e04207
46. 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
47. Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
48. 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
49. 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
50. Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors S. Feinberg et al. 10.1016/j.atmosenv.2019.06.026
51. 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
52. A review on ambient and indoor air pollution status in Africa K. Agbo et al. 10.1016/j.apr.2020.11.006
53. Evaluation of Low-Cost Sensors for Ambient PM2.5 Monitoring M. Badura et al. 10.1155/2018/5096540
54. Performance evaluation of ozone and particulate matter sensors H. DeWitt et al. 10.1080/10962247.2020.1713921
55. 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
56. 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
57. Low Cost Sensor Networks: How Do We Know the Data Are Reliable? D. Williams 10.1021/acssensors.9b01455
58. Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments L. Chatzidiakou et al. 10.5194/amt-12-4643-2019
59. Calibration of Portable Particulate Matter–Monitoring Device using Web Query and Machine Learning B. Loh & G. Choi 10.1016/j.shaw.2019.08.002
60. 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
61. Effect of Atmospheric Humidity on Fine Dust Measurement Using the Light Scattering Method C. Lee & S. Oh 10.9798/KOSHAM.2020.20.1.391
62. Air Quality Impacts at an E‐Waste Site in Ghana Using Flexible, Moderate‐Cost and Quality‐Assured Measurements L. Kwarteng et al. 10.1029/2020GH000247
63. 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
64. Chemical Characterization of Aerosol Particles Using On-Chip Photonic Cavity Enhanced Spectroscopy R. Singh et al. 10.1021/acssensors.8b00587
65. Garbage in, gospel out? – Air quality assessment in the UK planning system A. Mills & S. Peckham 10.1016/j.envsci.2019.06.010
66. Long-Term Evaluation and Calibration of Low-Cost Particulate Matter (PM) Sensor H. Lee et al. 10.3390/s20133617
67. Air quality monitoring using mobile low-cost sensors mounted on trash-trucks: Methods development and lessons learned P. deSouza et al. 10.1016/j.scs.2020.102239
68. 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
69. Application of micro-morphology in the physical characterization of urban road dust J. Jose & B. Srimuruganandam 10.1016/j.partic.2020.05.002
70. Opportunities for Low-Cost Particulate Matter Sensors in Filter Emission Measurements A. Schwarz et al. 10.1002/ceat.201800209
71. Atmospheric Chemistry Analysis: A Review P. Forbes 10.1021/acs.analchem.9b04623
72. Quantification of within-vehicle exposure to NOx and particles: Variation with outside air quality, route choice and ventilation options V. Matthaios et al. 10.1016/j.atmosenv.2020.117810
73. 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
74. Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring M. Rogulski & A. Badyda 10.3390/atmos11101040
75. 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
76. Use of Low-Cost Air Quality Monitoring Devices for Assessment of Road Transport Related Emissions N. Celikkaya et al. 10.1016/j.trpro.2019.09.125
77. A low-cost particulate matter (PM<sub>2.5</sub>) monitor for wildland fire smoke S. Kelleher et al. 10.5194/amt-11-1087-2018
78. Advances in Application of Air Quality Sensors in Environmental Monitoring 英. 宋 10.12677/AEP.2019.93037
79. Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary) A. Clements et al. 10.3390/s17112478