60 citations as recorded by crossref.

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2. Prospects of Aloe vera and its Bioactive Compounds in Diabetes: Critical Review M. Sharma et al. 10.22207/JPAM.15.4.54
3. Traceable PM2.5 and PM10 Calibration of Low-Cost Sensors with Ambient-like Aerosols Generated in the Laboratory S. Horender et al. 10.3390/app11199014
4. Nitrogen dioxide exposures from biomass cookstoves in the Peruvian Andes J. Kephart et al. 10.1111/ina.12653
5. Indoor air quality monitoring and management in hospitality: an overarching framework S. Zanni et al. 10.1108/IJCHM-12-2021-1549
6. Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi T. Zheng et al. 10.5194/amt-12-5161-2019
7. 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
8. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project S. Kimbrough et al. 10.3390/chemosensors7020026
9. The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
10. Stochastic Online Calibration of Low-Cost Gas Sensor Networks With Mobile References G. Tancev & F. Toro 10.1109/ACCESS.2022.3145945
11. Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics Y. Idir et al. 10.3390/s21144717
12. Low-cost sensors as an alternative for long-term air quality monitoring X. Liu et al. 10.1016/j.envres.2020.109438
13. Neighborhood-Level Particle Pollution Assessment during the COVID-19 Pandemic via a Novel IoT Solution C. Spandonidis et al. 10.3390/su15108233
14. Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors N. Nalakurthi et al. 10.3390/s24113650
15. Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure S. Ruiter et al. 10.3390/ijerph17228602
16. Characterising a mobile reference station (MoRS) to quantify personal exposure to air quality M. Hedges et al. 10.1016/j.atmosenv.2023.120160
17. Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al. 10.1016/j.atmosenv.2019.116946
18. Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile M. Tagle et al. 10.1007/s10661-020-8118-4
19. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico S. Reece et al. 10.3390/s18124314
20. Youth Engaged Participatory Air Monitoring: A ‘Day in the Life’ in Urban Environmental Justice Communities J. Johnston et al. 10.3390/ijerph17010093
21. Development and application of a United States-wide correction for PM<sub>2.5</sub> data collected with the PurpleAir sensor K. Barkjohn et al. 10.5194/amt-14-4617-2021
22. Incorporating Low-Cost Sensor Measurements into High-Resolution PM2.5 Modeling at a Large Spatial Scale J. Bi et al. 10.1021/acs.est.9b06046
23. Dissecting PM sensor capabilities: A combined experimental and theoretical study on particle sizing and physicochemical properties X. Qin et al. 10.1016/j.envpol.2024.124354
24. Design and evaluation of a portable PM2.5 monitor featuring a low-cost sensor in line with an active filter sampler J. Tryner et al. 10.1039/C9EM00234K
25. Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study S. Diez et al. 10.5194/amt-17-3809-2024
26. Laboratory evaluation of low-cost PurpleAir PM monitors and in-field correction using co-located portable filter samplers J. Tryner et al. 10.1016/j.atmosenv.2019.117067
27. Performance evaluation of ozone and particulate matter sensors H. DeWitt et al. 10.1080/10962247.2020.1713921
28. 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
29. Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors S. Feinberg et al. 10.1016/j.atmosenv.2019.06.026
30. Precision and Accuracy of a Direct-Reading Miniaturized Monitor in PM2.5 Exposure Assessment F. Borghi et al. 10.3390/s18093089
31. Low-Cost Air Quality Sensors: One-Year Field Comparative Measurement of Different Gas Sensors and Particle Counters with Reference Monitors at Tušimice Observatory P. Bauerová et al. 10.3390/atmos11050492
32. Influence of particle properties and environmental factors on the performance of typical particle monitors and low-cost particle sensors in the market of China D. Wu et al. 10.1016/j.atmosenv.2021.118825
33. Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative F. Reisen et al. 10.3390/s21217206
34. A Review of Low-Cost Particulate Matter Sensors from the Developers’ Perspectives B. Alfano et al. 10.3390/s20236819
35. Global Ozone (GO3) Project and AQTreks: Use of evolving technologies by students and citizen scientists to monitor air pollutants J. Ellenburg et al. 10.1016/j.aeaoa.2019.100048
36. Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements Y. Liang et al. 10.1016/j.snb.2020.128897
37. Predicting airborne pollutant concentrations and events in a commercial building using low-cost pollutant sensors and machine learning: A case study A. Mohammadshirazi et al. 10.1016/j.buildenv.2022.108833
38. A novel low sampling rate and cost-efficient active sampler for medium/long-term monitoring of gaseous pollutants Z. Wang et al. 10.1016/j.jhazmat.2023.132583
39. Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey N. Hossein Motlagh et al. 10.1109/JIOT.2023.3290508
40. Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
41. Deliberating Performance Targets: Follow-on workshop discussing PM10, NO2, CO, and SO2 air sensor targets R. Duvall et al. 10.1016/j.atmosenv.2020.118099
42. QUANT: a long-term multi-city commercial air sensor dataset for performance evaluation S. Diez et al. 10.1038/s41597-024-03767-2
43. Dense Air Quality Sensor Networks: Validation, Analysis, and Benefits M. Zaidan et al. 10.1109/JSEN.2022.3216071
44. Air Quality Sensor Networks for Evidence-Based Policy Making: Best Practices for Actionable Insights J. Hofman et al. 10.3390/atmos13060944
45. A review on ambient and indoor air pollution status in Africa K. Agbo et al. 10.1016/j.apr.2020.11.006
46. EEATC: A Novel Calibration Approach for Low-Cost Sensors M. Narayana et al. 10.1109/JSEN.2023.3304366
47. Observed data quality concerns involving low-cost air sensors A. Clements et al. 10.1016/j.aeaoa.2019.100034
48. 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
49. Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project B. Dessimond et al. 10.3390/s21051876
50. Assessment of detected in situ and modeled PM10/2.5 concentration levels during the urban transformation process in Novi Sad, Serbia M. Sunjevic et al. 10.2298/TSCI220215108S
51. Improving the Quality of Measurements Made by Alphasense NO2 Non-Reference Sensors Using the Mathematical Methods M. Rogulski et al. 10.3390/s22103619
52. Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea C. Lim et al. 10.1016/j.envint.2019.105022
53. Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments L. Chatzidiakou et al. 10.5194/amt-12-4643-2019
54. Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al. 10.5194/amt-17-3303-2024
55. Low-cost sensors and microscale land use regression: Data fusion to resolve air quality variations with high spatial and temporal resolution L. Weissert et al. 10.1016/j.atmosenv.2019.06.019
56. 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
57. 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. 10.3390/su141710978
58. Exploring the applicability and limitations of selected optical scattering instruments for PM mass measurement J. Zhang et al. 10.5194/amt-11-2995-2018
59. Outlier detection and gap filling methodologies for low-cost air quality measurements T. Ottosen & P. Kumar 10.1039/C8EM00593A
60. Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment F. Bulot et al. 10.1038/s41598-019-43716-3