44 citations as recorded by crossref.

1. The effect of urban morphological characteristics on the spatial variation of PM2.5 air quality in downtown Nanjing T. Kokkonen et al. 10.1039/D1EA00035G
2. Role of Vehicular Emissions in Urban Air Quality: The COVID-19 Lockdown Experiment M. Llaguno-Munitxa & E. Bou-Zeid 10.2139/ssrn.4160364
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
4. Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings A. Wang et al. 10.1016/j.atmosenv.2023.119692
5. Drive-by Air Pollution Sensing Systems: Challenges and Future Directions H. Zarrar & V. Dyo 10.1109/JSEN.2023.3305779
6. Pinpointing sources of pollution using citizen science and hyperlocal low-cost mobile source apportionment D. Bousiotis et al. 10.1016/j.envint.2024.109069
7. Mobile air quality monitoring and comparison to fixed monitoring sites for instrument performance assessment A. Whitehill et al. 10.5194/amt-17-2991-2024
8. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
9. Quantifying and predicting air quality on different road types in urban environments using mobile monitoring and automated machine learning C. Miao et al. 10.1016/j.apr.2023.102015
10. AQ-Bench: a benchmark dataset for machine learning on global air quality metrics C. Betancourt et al. 10.5194/essd-13-3013-2021
11. Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al. 10.1016/j.uclim.2025.102344
12. Machine learning arbitrated prediction of disease prevalence due to air pollution over United Arab Emirates J. Mogaraju 10.1007/s11869-023-01366-5
13. Suitability of Low-Cost Sensors for Submicron Aerosol Particle Measurement D. Stoll et al. 10.3390/asi6040069
14. Vertical evaluation of air quality improvement by urban forest using unmanned aerial vehicles C. Miao et al. 10.3389/fevo.2022.1045937
15. 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
16. Urban crowdsensing by personal mobility vehicles to manage air pollution P. Jiménez et al. 10.1016/j.trpro.2023.11.071
17. Role of Vehicular Emissions in Urban Air Quality: The Covid-19 Lockdown Experiment M. Llaguno-Munitxa & E. Bou-Zeid 10.2139/ssrn.3997569
18. Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
19. 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
20. Analysis of Air Pollutants for a Small Paintshop by Means of a Mobile Platform and Geostatistical Methods I. Sówka et al. 10.3390/en16237716
21. 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
22. Spatial Mapping of Air Pollution Hotspots around Commercial Meat-Cooking Restaurants Using Bicycle-Based Mobile Monitoring G. Yong et al. 10.3390/atmos15080991
23. 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
24. Machine learning techniques to improve the field performance of low-cost air quality sensors T. Bush et al. 10.5194/amt-15-3261-2022
25. 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
26. 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
27. 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
28. Development and Performance Evaluation of a Low-Cost Portable PM2.5 Monitor for Mobile Deployment M. Chen et al. 10.3390/s22072767
29. 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
30. 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
31. Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties C. Betancourt et al. 10.5194/gmd-15-4331-2022
32. 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
33. 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
34. 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
35. Hyperlocal Air Pollution in London: Validating Low-Cost Sensors for Mobile Measurements from Vehicles H. Russell et al. 10.1021/acsestair.3c00043
36. 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
37. 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
38. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
39. Three-Dimensional Air Quality Monitoring and Simulation of Campus Microenvironment Based on UAV Platform Z. Liu et al. 10.3390/app142310908
40. Performance and data acquisition from low-cost air quality sensors: a comprehensive review M. Siddiqui et al. 10.1007/s11869-024-01683-3
41. 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
42. Modeling of Various Spatial Patterns of SARS-CoV-2: The Case of Germany A. Mościcka et al. 10.3390/jcm10071409
43. 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
44. 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