88 citations as recorded by crossref.

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3. The role of surface stoichiometry in NO2gas sensing using single and multiple nanobelts of tin oxide M. Masteghin et al. 10.1039/D1CP00662B
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5. The Application of Mobile Sensing to Detect CO and NO2 Emission Spikes in Polluted Cities S. Sara et al. 10.1109/ACCESS.2023.3297874
6. The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
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10. Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana C. McFarlane et al. 10.1021/acsearthspacechem.1c00217
11. Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network S. Ali et al. 10.3390/s23020854
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13. The comparison between in-situ monitored data and modelled results of nitrogen dioxide (NO2): case-study, road networks of Kigali city, Rwanda E. Irankunda et al. 10.1016/j.heliyon.2022.e12390
14. Performance of a Low-Cost Sensor Community Air Monitoring Network in Imperial County, CA P. English et al. 10.3390/s20113031
15. Evaluation of Enterprise Learning Performance in the Process of Cooperation Innovation Using Heronian Mean Operator S. Yin & B. Li 10.1155/2019/8653164
16. Long-term behavior and stability of calibration models for NO and NO<sub>2</sub> low-cost sensors H. Kim et al. 10.5194/amt-15-2979-2022
17. Reducing the Influence of Environmental Factors on Performance of a Diffusion-Based Personal Exposure Kit H. Zong et al. 10.3390/s21144637
18. A Global Multiunit Calibration as a Method for Large-Scale IoT Particulate Matter Monitoring Systems Deployments S. De Vito et al. 10.1109/TIM.2023.3331428
19. Design and testing of a low-cost sensor and sampling platform for indoor air quality J. Tryner et al. 10.1016/j.buildenv.2021.108398
20. A Low-Temperature Micro Hotplate Gas Sensor Based on AlN Ceramic for Effective Detection of Low Concentration NO2 W. Zhao et al. 10.3390/s19173719
21. Impacts of Modifiable Factors on Ambient Air Pollution: A Case Study of COVID-19 Shutdowns R. Tanzer-Gruener et al. 10.1021/acs.estlett.0c00365
22. Design and Evaluation of a Reliable Low-Cost Atmospheric Pollution Station in Urban Environment G. Astudillo et al. 10.1109/ACCESS.2020.2980736
23. In situ drift correction for a low-cost NO2 sensor network J. Miech et al. 10.1039/D2EA00145D
24. A Statistical Calibration Framework for Improving Non-Reference Method Particulate Matter Reporting: A Focus on Community Air Monitoring Settings S. Commodore et al. 10.3390/atmos11080807
25. Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. 10.1029/2021EA001743
26. Calibration of SO2 and NO2 Electrochemical Sensors via a Training and Testing Method in an Industrial Coastal Environment S. Ahumada et al. 10.3390/s22197281
27. 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
28. AI-IoT Low-Cost Pollution-Monitoring Sensor Network to Assist Citizens with Respiratory Problems S. Felici-Castell et al. 10.3390/s23239585
29. Air Quality Sensor Networks for Evidence-Based Policy Making: Best Practices for Actionable Insights J. Hofman et al. 10.3390/atmos13060944
30. Conception and deployment of the APOLLINE sensor network for IAQ monitoring B. Hanoune et al. 10.1088/1757-899X/609/4/042026
31. Spatial variations in urban air pollution: impacts of diesel bus traffic and restaurant cooking at small scales R. Song et al. 10.1007/s11869-021-01078-8
32. Air pollution measurement errors: is your data fit for purpose? S. Diez et al. 10.5194/amt-15-4091-2022
33. 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
34. Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring G. Tancev 10.3390/s21093298
35. Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks J. Barcelo-Ordinas et al. 10.3390/s19112503
36. Field and laboratory performance evaluations of 28 gas-phase air quality sensors by the AQ-SPEC program A. Collier-Oxandale et al. 10.1016/j.atmosenv.2019.117092
37. 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
38. Evaluation of Cairpol and Aeroqual Air Sensors in Biomass Burning Plumes A. Whitehill et al. 10.3390/atmos13060877
39. EEATC: A Novel Calibration Approach for Low-Cost Sensors M. Narayana et al. 10.1109/JSEN.2023.3304366
40. Performance evaluation of low-cost air quality sensors: A review Y. Kang et al. 10.1016/j.scitotenv.2021.151769
41. Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments J. Li et al. 10.1021/acssensors.1c00729
42. Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach T. Zheng et al. 10.1016/j.atmosenv.2020.117451
43. Influence of Concept Drift on Metrological Performance of Low-Cost NO2 Sensors G. D'Elia et al. 10.1109/TIM.2022.3188028
44. Inter- versus Intracity Variations in the Performance and Calibration of Low-Cost PM2.5 Sensors: A Multicity Assessment in India S. V et al. 10.1021/acsearthspacechem.2c00257
45. Characterization of inexpensive metal oxide sensor performance for trace methane detection D. Furuta et al. 10.5194/amt-15-5117-2022
46. Within-City Variation in Ambient Carbon Monoxide Concentrations: Leveraging Low-Cost Monitors in a Spatiotemporal Modeling Framework J. Bi et al. 10.1289/EHP10889
47. Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network E. Considine et al. 10.1016/j.envpol.2020.115833
48. Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors P. Adong et al. 10.1002/ail2.76
49. Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems P. Schneider et al. 10.3390/atmos14030540
50. Leveraging low-cost sensors to predict nitrogen dioxide for epidemiologic exposure assessment C. Zuidema et al. 10.1038/s41370-024-00667-w
51. Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information E. Considine et al. 10.1021/acs.est.2c06626
52. 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
53. Machine learning calibration of low-cost NO<sub>2</sub> and PM<sub>10</sub> sensors: non-linear algorithms and their impact on site transferability P. Nowack et al. 10.5194/amt-14-5637-2021
54. Assessment of air quality sensor system performance after relocation S. Zauli-Sajani et al. 10.1016/j.apr.2020.11.010
55. Probabilistic Machine Learning with Low-Cost Sensor Networks for Occupational Exposure Assessment and Industrial Hygiene Decision Making A. Patton et al. 10.1093/annweh/wxab105
56. From air quality sensors to sensor networks: Things we need to learn Y. Li et al. 10.1016/j.snb.2021.130958
57. Unravelling a black box: an open-source methodology for the field calibration of small air quality sensors S. Schmitz et al. 10.5194/amt-14-7221-2021
58. Seasonal Field Calibration of Low-Cost PM2.5 Sensors in Different Locations with Different Sources in Thailand R. Dejchanchaiwong et al. 10.3390/atmos14030496
59. Review of low-cost sensors for indoor air quality: Features and applications M. Ródenas García et al. 10.1080/05704928.2022.2085734
60. Calibration of CO, NO2, and O3 Using Airify: A Low-Cost Sensor Cluster for Air Quality Monitoring M. Ionascu et al. 10.3390/s21237977
61. Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation C. Malings et al. 10.1080/02786826.2019.1623863
62. Fleet-based vehicle emission factors using low-cost sensors: Case study in parking garages B. Liu & N. Zimmerman 10.1016/j.trd.2020.102635
63. A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2019.2929594
64. Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields B. Choi et al. 10.1016/j.envsoft.2021.105189
65. Evaluation of low-cost gas sensors to quantify intra-urban variability of atmospheric pollutants A. Baruah et al. 10.1039/D2EA00165A
66. Nonlinear relationship between urban form and street-level PM2.5 and CO based on mobile measurements and gradient boosting decision tree models M. Liu et al. 10.1016/j.buildenv.2021.108265
67. Augmenting the Standard Operating Procedures of Health and Air Quality Stakeholders With NASA Resources B. Duncan et al. 10.1029/2021GH000451
68. Sens-BERT: A BERT-Based Approach for Enabling Transferability and Re-Calibration of Calibration Models for Low-Cost Sensors Under Reference Measurements Scarcity M. Narayana et al. 10.1109/JSEN.2024.3362962
69. Low-Cost Nitric Oxide Sensors: Assessment of Temperature and Humidity Effects S. Owen et al. 10.3390/s22229013
70. Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO2 and O3 sensors A. Cavaliere et al. 10.5194/amt-16-4723-2023
71. Multisensor Data Fusion Calibration in IoT Air Pollution Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2020.2965283
72. Towards the Development of a Sensor Educational Toolkit to Support Community and Citizen Science A. Collier-Oxandale et al. 10.3390/s22072543
73. Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice R. Tanzer et al. 10.3390/ijerph16142523
74. Embedded machine learning of IoT streams to promote early detection of unsafe environments E. Fernández et al. 10.1016/j.iot.2024.101128
75. Understanding the ability of low-cost MOx sensors to quantify ambient VOCs A. Collier-Oxandale et al. 10.5194/amt-12-1441-2019
76. Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements Y. Liang et al. 10.1016/j.snb.2020.128897
77. Calibrating low-cost sensors to measure vertical and horizontal gradients of NO2 and O3 pollution in three street canyons in Berlin S. Schmitz et al. 10.1016/j.atmosenv.2023.119830
78. Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring S. Vikram et al. 10.5194/amt-12-4211-2019
79. Air Pollution Monitoring via Wireless Sensor Networks: The Investigation and Correction of the Aging Behavior of Electrochemical Gaseous Pollutant Sensors I. Christakis et al. 10.3390/electronics12081842
80. Deployment, Calibration, and Cross-Validation of Low-Cost Electrochemical Sensors for Carbon Monoxide, Nitrogen Oxides, and Ozone for an Epidemiological Study C. Zuidema et al. 10.3390/s21124214
81. Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. 10.5194/amt-16-2209-2023
82. The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems M. Landis et al. 10.1016/j.atmosenv.2020.118165
83. Assessment of the impact of sensor error on the representativeness of population exposure to urban air pollutants T. Leo Hohenberger et al. 10.1016/j.envint.2022.107329
84. Low-Cost Formaldehyde Sensor Evaluation and Calibration in a Controlled Environment A. Chattopadhyay et al. 10.1109/JSEN.2022.3172864
85. Understanding the effect of temperature and relative humidity on sensor sensitivities in field environments and improving the calibration models of multiple electrochemical carbon monoxide (CO) sensors in a tropical environment R. Ariyaratne et al. 10.1016/j.snb.2023.133935
86. 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
87. Low-Cost Air Quality Measurement System Based on Electrochemical and PM Sensors with Cloud Connection P. Arroyo et al. 10.3390/s21186228
88. Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors H. Li et al. 10.1016/j.aeaoa.2019.100012