43 citations as recorded by crossref.

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3. 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. 10.1016/j.buildenv.2023.110330
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5. Drive-by Air Pollution Sensing Systems: Challenges and Future Directions H. Zarrar & V. Dyo 10.1109/JSEN.2023.3305779
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11. Machine learning arbitrated prediction of disease prevalence due to air pollution over United Arab Emirates J. Mogaraju 10.1007/s11869-023-01366-5
12. Suitability of Low-Cost Sensors for Submicron Aerosol Particle Measurement D. Stoll et al. 10.3390/asi6040069
13. Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles C. Miao et al. 10.3389/fevo.2022.1045937
14. Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment D. Kairuz-Cabrera et al. 10.3390/s24092729
15. Urban crowdsensing by personal mobility vehicles to manage air pollution P. Jiménez et al. 10.1016/j.trpro.2023.11.071
16. Role of Vehicular Emissions in Urban Air Quality: The Covid-19 Lockdown Experiment M. Llaguno-Munitxa & E. Bou-Zeid 10.2139/ssrn.3997569
17. Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
18. Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data W. Che et al. 10.1016/j.jes.2022.02.041
19. Analysis of Air Pollutants for a Small Paintshop by Means of a Mobile Platform and Geostatistical Methods I. Sówka et al. 10.3390/en16237716
20. Evaluating cost and benefit of air pollution control policies in China: A systematic review X. Liu et al. 10.1016/j.jes.2022.02.043
21. Spatial Mapping of Air Pollution Hotspots around Commercial Meat-Cooking Restaurants Using Bicycle-Based Mobile Monitoring G. Yong et al. 10.3390/atmos15080991
22. Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0 A. Criado et al. 10.5194/gmd-16-2193-2023
23. Machine learning techniques to improve the field performance of low-cost air quality sensors T. Bush et al. 10.5194/amt-15-3261-2022
24. Understanding the origins of urban particulate matter pollution based on high-density vehicle-based sensor monitoring and big data analysis Y. Liang et al. 10.1016/j.uclim.2024.102241
25. Air Quality Monitoring and Analysis for Sustainable Development of Solid Waste Dump Yards Using Smart Drones and Geospatial Technology R. Ranganathan et al. 10.3390/su151813347
26. Impact of the COVID-19 on the vertical distributions of major pollutants from a tower in the Pearl River Delta L. Li et al. 10.1016/j.atmosenv.2022.119068
27. Development and Performance Evaluation of a Low-Cost Portable PM2.5 Monitor for Mobile Deployment M. Chen et al. 10.3390/s22072767
28. Role of vehicular emissions in urban air quality: The COVID-19 lockdown experiment M. Llaguno-Munitxa & E. Bou-Zeid 10.1016/j.trd.2022.103580
29. An attention-based CNN model integrating observational and simulation data for high-resolution spatial estimation of urban air quality S. Wang & Y. Zhang 10.1016/j.atmosenv.2024.120921
30. Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties C. Betancourt et al. 10.5194/gmd-15-4331-2022
31. Spatial distribution of air pollutants in different urban functional zones based on mobile monitoring and CFD simulation Y. Liu et al. 10.1007/s13762-024-06057-x
32. Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India J. Mogaraju 10.26833/ijeg.1394111
33. Characterizing spatiotemporal patterns of elevated PM2.5 exposures in a megacity of China using combined mobile and stationary measurements G. Huang et al. 10.1016/j.atmosenv.2023.119821
34. Hyperlocal Air Pollution in London: Validating Low-Cost Sensors for Mobile Measurements from Vehicles H. Russell et al. 10.1021/acsestair.3c00043
35. Employing an Eigenfunction Eigendecomposition algorithm to cartographically and statistically delineate traffic-related carbon monoxide pollution in Hillsborough County, Florida L. Jing et al. 10.5897/JPHE2023.1461
36. Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model V. Costa et al. 10.1016/j.apenergy.2022.118848
37. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
38. Three-Dimensional Air Quality Monitoring and Simulation of Campus Microenvironment Based on UAV Platform Z. Liu et al. 10.3390/app142310908
39. Performance and data acquisition from low-cost air quality sensors: a comprehensive review M. Siddiqui et al. 10.1007/s11869-024-01683-3
40. Predicting high-resolution air quality using machine learning: Integration of large eddy simulation and urban morphology data S. Wang et al. 10.1016/j.envpol.2024.123371
41. Modeling of Various Spatial Patterns of SARS-CoV-2: The Case of Germany A. Mościcka et al. 10.3390/jcm10071409
42. Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia F. Hassan et al. 10.3390/su13137184
43. Impact of traffic on air pollution in a mid-sized urban city during COVID-19 lockdowns N. Hay et al. 10.1007/s11869-023-01330-3