72 citations as recorded by crossref.

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21. A Smart Rig for Calibration of Gas Sensor Nodes M. Benammar et al. https://doi.org/10.3390/s20082341
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24. Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices M. Rogulski et al. https://doi.org/10.1051/shsconf/20185702009
25. Relevance and Reliability of Outdoor SO2 Monitoring in Low-Income Countries Using Low-Cost Sensors R. González Rivero et al. https://doi.org/10.3390/atmos14060912
26. Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements Y. Liang et al. https://doi.org/10.1016/j.snb.2020.128897
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28. Democratized innovation & accessible thermal testing: The approachable hot box E. McCormick et al. https://doi.org/10.1016/j.enbuild.2022.112769
29. Unexpected Performance Improvements of Nitrogen Dioxide and Ozone Sensors by Including Carbon Monoxide Sensor Signal M. Hasan et al. https://doi.org/10.1021/acsomega.2c07734
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31. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico S. Reece et al. https://doi.org/10.3390/s18124314
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35. Electrochemical Gas Sensing Module Combined with Unmanned Aerial Vehicles for Air Quality Monitoring P. Arroyo et al. https://doi.org/10.2139/ssrn.3994293
36. The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al. https://doi.org/10.5194/amt-11-1937-2018
37. Mapping trends and analyzing key themes in low-cost sensors for air quality monitoring K. Alhasa et al. https://doi.org/10.1007/s12145-025-01927-5
38. Performance of NO, NO2 low cost sensors and three calibration approaches within a real world application A. Bigi et al. https://doi.org/10.5194/amt-11-3717-2018
39. Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles R. Mawrence et al. https://doi.org/10.3390/s20247332
40. The Use of Low-Cost Gas Sensors for Air Quality Monitoring with Smartphone Technology: A Preliminary Study D. Suriano et al. https://doi.org/10.3390/chemosensors13050189
41. Integrated Low Cost, LoRa-Based, Real Time Fluid Infusion Flask Monitoring System S. Mitropoulos et al. https://doi.org/10.3390/electronics14050869
42. Calibration of Low-Cost NO2 Sensors through Environmental Factor Correction J. Miech et al. https://doi.org/10.3390/toxics9110281
43. Nitrogen Dioxide Detection in Hollow Core Fiber With Long Dynamic Range L. Liu et al. https://doi.org/10.1109/LSENS.2022.3197788
44. Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements T. Schuldt et al. https://doi.org/10.5194/amt-16-373-2023
45. Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. https://doi.org/10.3390/s24134110
46. Laboratory Cross-Sensitivity Evaluation of Low-Cost Electrochemical Formaldehyde Sensors Z. Pei & K. Kelly https://doi.org/10.3390/s25103096
47. Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments J. Li et al. https://doi.org/10.1021/acssensors.1c00729
48. Assessment of air quality sensor system performance after relocation S. Zauli-Sajani et al. https://doi.org/10.1016/j.apr.2020.11.010
49. External validation for statistical NO2 modelling: A study case using a high-end mobile sensing instrument M. Lu et al. https://doi.org/10.1016/j.apr.2021.101205
50. Ground-based monitoring of nitrogen dioxide in Kumasi, Ghana, and its comparison with satellite observations B. Mijling et al. https://doi.org/10.5194/amt-19-3063-2026
51. Empiric Unsupervised Drifts Correction Method of Electrochemical Sensors for in Field Nitrogen Dioxide Monitoring R. Laref et al. https://doi.org/10.3390/s21113581
52. Low-Cost Air Quality Measurement System Based on Electrochemical and PM Sensors with Cloud Connection P. Arroyo et al. https://doi.org/10.3390/s21186228
53. High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam B. Mijling https://doi.org/10.5194/amt-13-4601-2020
54. Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration S. Liu et al. https://doi.org/10.3390/app122412934
55. Evaluating the transferability of low-cost sensor calibration using ANFIS: a field study in Putrajaya, Malaysia K. Alhasa et al. https://doi.org/10.1007/s10661-025-14377-9
56. Air Pollution Monitoring via Wireless Sensor Networks: The Investigation and Correction of the Aging Behavior of Electrochemical Gaseous Pollutant Sensors I. Christakis et al. https://doi.org/10.3390/electronics12081842
57. Evaluation of Low-Cost Sensors for Weather and Carbon Dioxide Monitoring in Internet of Things Context T. Araújo et al. https://doi.org/10.3390/iot1020017
58. Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action J. Perelló et al. https://doi.org/10.1016/j.scitotenv.2021.147750
59. Reducing the Influence of Environmental Factors on Performance of a Diffusion-Based Personal Exposure Kit H. Zong et al. https://doi.org/10.3390/s21144637
60. Engagement and Social Impact in Tech-Based Citizen Science Initiatives for Achieving the SDGs: A Systematic Literature Review with a Perspective on Complex Thinking J. Sanabria-Z et al. https://doi.org/10.3390/su141710978
61. Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors P. Ferrer-Cid et al. https://doi.org/10.3390/s22103964
62. State-of-the-Art Low-Cost Air Quality Sensors, Assemblies, Calibration and Evaluation for Respiration-Associated Diseases: A Systematic Review H. Tariq et al. https://doi.org/10.3390/atmos15040471
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64. Mutual Information Input Selector and Probabilistic Machine Learning Utilisation for Air Pollution Proxies M. Zaidan et al. https://doi.org/10.3390/app9204475
65. A Simultaneous Calibration and Detection Strategy for Electrochemical Sensing with High Accuracy in Complex Water C. Cheng et al. https://doi.org/10.1021/acssensors.4c00759
66. Opportunistic mobile air quality mapping using sensors on postal service vehicles: from point clouds to actionable insights J. Hofman et al. https://doi.org/10.3389/fenvh.2023.1232867
67. Support Vector Machine Regression for Calibration Transfer between Electronic Noses Dedicated to Air Pollution Monitoring R. Laref et al. https://doi.org/10.3390/s18113716
68. Air Quality Sensor Networks for Evidence-Based Policy Making: Best Practices for Actionable Insights J. Hofman et al. https://doi.org/10.3390/atmos13060944
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70. A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. https://doi.org/10.1021/acs.est.4c08855
71. In-situ baseline calibration approach for enhanced data quality of large-scale air sensor monitoring networks H. Mei et al. https://doi.org/10.1038/s41612-025-01184-9
72. Reliability of Lower-Cost Sensors in the Analysis of Indoor Air Quality on Board Ships O. Schalm et al. https://doi.org/10.3390/atmos13101579