has been cited by the following article(s):
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[1]
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The Design and Deployment of a Self-Powered, LoRaWAN-Based IoT Environment Sensor Ensemble for Integrated Air Quality Sensing and Simulation
Air,
2025
DOI:10.3390/air3010009
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[2]
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Characterizing the Temporal Variation of Airborne Particulate Matter in an Urban Area Using Variograms
Air,
2025
DOI:10.3390/air3010007
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[3]
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How May Building Morphology Influence Pedestrians’ Exposure to PM2.5?
Applied Sciences,
2024
DOI:10.3390/app14125149
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[4]
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Spatially lagged predictors from a wider area improve PM2.5 estimation at a finer temporal interval—A case study of Dallas-Fort Worth, United States
Frontiers in Remote Sensing,
2023
DOI:10.3389/frsen.2023.1041466
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[5]
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Geospatial Technology for Human Well-Being and Health
2022
DOI:10.1007/978-3-030-71377-5_13
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[6]
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Transformational IoT sensing for air pollution and thermal exposures
Frontiers in Built Environment,
2022
DOI:10.3389/fbuil.2022.971523
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[7]
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Using Remote Control Aerial Vehicles to Study Variability of Airborne Particulates
Air, Soil and Water Research,
2015
DOI:10.4137/ASWR.S30774
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