55 citations as recorded by crossref.

1. Mobile Observations of Ozone and Aerosols in Alabama: Southeastern US Summer Pollution and Coastal Variability S. Kuang et al. 10.1029/2023JD039514
2. 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
3. Assessing the contributions of outdoor and indoor sources to air quality in London homes of the SCAMP cohort T. Vu et al. 10.1016/j.buildenv.2022.109359
4. Health impacts of smoke exposure in South America: increased risk for populations in the Amazonian Indigenous territories E. Bonilla et al. 10.1088/2752-5309/acb22b
5. Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
6. The Aerosol Research Observation Station (AEROS) K. Ardon-Dryer et al. 10.5194/amt-15-2345-2022
7. A Review of Literature on the Usage of Low-Cost Sensors to Measure Particulate Matter A. Raysoni et al. 10.3390/earth4010009
8. A Novel AI Framework for PM Pollution Prediction Applied to a Greek Port City F. Anagnostopoulos et al. 10.3390/atmos14091413
9. Exposure to PM2.5 on Public Transport: Guidance for Field Measurements with Low-Cost Sensors K. Fameli et al. 10.3390/atmos15030330
10. A framework for integrated energy and exposure to ambient pollution (iEnEx) assessment toward low-carbon, healthy, and equitable cities M. Ashayeri & N. Abbasabadi 10.1016/j.scs.2021.103647
11. Observationally constrained mass balance box model analysis of aerosol mitigation potential using fan powered filters S. Wang et al. 10.1088/2515-7620/ad1422
12. Improvement of Surface PM2.5 Diurnal Variation Simulations in East Africa for the MAIA Satellite Mission C. Li et al. 10.1021/acsestair.3c00008
13. Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia B. Bekbulat et al. 10.3390/s23218977
14. Significance of sources and size distribution on calibration of low-cost particle sensors: Evidence from a field sampling campaign V. Malyan et al. 10.1016/j.jaerosci.2022.106114
15. Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes K. Kelly et al. 10.1021/acs.est.0c02341
16. A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air pollution data C. Heffernan et al. 10.1214/23-AOAS1751
17. COVID‐19 New Cases and Environmental Factors During Wet and Dry Seasons in West and Southern Africa G. Jenkins et al. 10.1029/2022GH000765
18. Socioeconomic Disparities of Low-Cost Air Quality Sensors in California, 2017–2020 Y. Sun et al. 10.2105/AJPH.2021.306603
19. 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
20. Information entropy tradeoffs for efficient uncertainty reduction in estimates of air pollution mortality M. Alifa et al. 10.1016/j.envres.2022.113587
21. Spatialized PM2.5 during COVID-19 pandemic in Brazil’s most populous southern city: implications for post-pandemic era G. da Costa et al. 10.1007/s10653-023-01809-z
22. Impact of 4th of July Fireworks on Spatiotemporal PM2.5 Concentrations in California Based on the PurpleAir Sensor Network: Implications for Policy and Environmental Justice A. Mousavi et al. 10.3390/ijerph18115735
23. Wildfire smoke impacts on indoor air quality assessed using crowdsourced data in California Y. Liang et al. 10.1073/pnas.2106478118
24. Temporal Characteristics and Sources of PM2.5 in Porto Velho of Amazon Region in Brazil from 2020 to 2022 Y. Jang & G. Jung 10.3390/su151814012
25. Combining Regulatory Instruments and Low-Cost Sensors to Quantify the Effects of 2020 California Wildfires on PM2.5 in San Joaquin Valley F. Enayati Ahangar et al. 10.3390/fire5030064
26. Assessment of particulate matter and particle path trajectory analysis using a HYSPLIT model over Dire Dawa, Ethiopia T. Endale et al. 10.1007/s42452-024-05741-4
27. Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data M. Yu et al. 10.3389/fenvs.2023.1223160
28. 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
29. Differences in Ozone and Particulate Matter Between Ground Level and 20 m Aloft are Frequent During Wintertime Surface‐Based Temperature Inversions in Fairbanks, Alaska M. Cesler‐Maloney et al. 10.1029/2021JD036215
30. Race and Street-Level Firework Legalization as Primary Determinants of July 4th Air Pollution across Southern California S. Masri et al. 10.3390/atmos14020401
31. Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020 B. O'Leary et al. 10.1016/j.scitotenv.2021.152120
32. Highly local sources and large spatial variations in PM2.5 across a city: evidence from a city-wide sensor network in Cork, Ireland R. Byrne et al. 10.1039/D2EA00177B
33. Long-Term Assessment of PurpleAir Low-Cost Sensor for PM2.5 in California, USA Z. Farooqui et al. 10.3390/pollutants3040033
34. Indoor-Generated PM2.5 During COVID-19 Shutdowns Across California: Application of the PurpleAir Indoor–Outdoor Low-Cost Sensor Network A. Mousavi & J. Wu 10.1021/acs.est.0c06937
35. Measurements of traffic-related air pollution at a U.S.–Mexico port of entry and its impacts on nearby community W. Li et al. 10.1007/s44274-023-00010-4
36. Development and evaluation of correction models for a low-cost fine particulate matter monitor B. Nilson et al. 10.5194/amt-15-3315-2022
37. Compound Risk of Air Pollution and Heat Days and the Influence of Wildfire by SES across California, 2018–2020: Implications for Environmental Justice in the Context of Climate Change S. Masri et al. 10.3390/cli10100145
38. Assessing urban mortality from wildfires with a citizen science network P. Shen et al. 10.1007/s11869-021-01072-0
39. Development of a physics-based method for calibration of low-cost particulate matter sensors and comparison with machine learning models B. Prajapati et al. 10.1016/j.jaerosci.2023.106284
40. Polluting Under the Radar: Emissions, Inequality, and Concrete Batch Plants in Houston N. Zirogiannis et al. 10.2139/ssrn.4470152
41. The Role of Meteorological Variables and Aerosols in the Transmission of COVID‐19 During Harmattan Season S. Ogunjo et al. 10.1029/2021GH000521
42. Polluting under the Radar: Emissions, Inequality, and Concrete Batch Plants in Houston N. Zirogiannis et al. 10.1021/acs.est.3c04412
43. Evaluation of calibration approaches for indoor deployments of PurpleAir monitors K. Koehler et al. 10.1016/j.atmosenv.2023.119944
44. Increasing co-occurrence of fine particulate matter and ground-level ozone extremes in the western United States D. Kalashnikov et al. 10.1126/sciadv.abi9386
45. Calibration of SpatioTemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks M. Bonas & S. Castruccio 10.1214/22-AOAS1683
46. 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
47. 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
48. 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
49. 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
50. Evaluation and Correction of PurpleAir Temperature and Relative Humidity Measurements E. Couzo et al. 10.3390/atmos15040415
51. Dust Under the Radar: Rethinking How to Evaluate the Impacts of Dust Events on Air Quality in the United States K. Ardon‐Dryer et al. 10.1029/2023GH000953
52. Significance of Meteorological Feature Selection and Seasonal Variation on Performance and Calibration of a Low-Cost Particle Sensor V. Kumar et al. 10.3390/atmos13040587
53. 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
54. An analysis of degradation in low-cost particulate matter sensors P. deSouza et al. 10.1039/D2EA00142J
55. 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