53 citations as recorded by crossref.

1. Addressing Low-Cost Methane Sensor Calibration Shortcomings with Machine Learning E. Kiplimo et al. https://doi.org/10.3390/atmos15111313
2. Technical note: Facilitating the use of low-cost methane (CH4) sensors in flux chambers – calibration, data processing, and an open-source make-it-yourself logger D. Bastviken et al. https://doi.org/10.5194/bg-17-3659-2020
3. Flame-Made La2O3-Based Nanocomposite CO2 Sensors as Perspective Part of GHG Monitoring System M. Andreev et al. https://doi.org/10.3390/s21217297
4. The River Runner: a low-cost sensor prototype for continuous dissolved greenhouse gas measurements M. Dalvai Ragnoli & G. Singer https://doi.org/10.5194/jsss-13-41-2024
5. Detecting air pollution episodes and exploring their impacts using low-cost sensor data and simultaneous community symptom and odor reports C. Frischmon et al. https://doi.org/10.1088/1748-9326/adc28a
6. Direct measurement of methane emissions from the upstream oil and gas sector: Review of measurement results and technology advances (2018–2022) X. Yang et al. https://doi.org/10.1016/j.jclepro.2023.137693
7. Methane Sensor Characterization Using Colocated Ambient Comparisons and Simulated Emission Challenges W. Champion et al. https://doi.org/10.1021/acsestair.5c00110
8. Calibration of a Low-Cost Methane Sensor Using Machine Learning H. Mitchell et al. https://doi.org/10.3390/s24041066
9. Evaluating machine learning model performance in a two-step colocation process for TVOC and BTEX sensor calibration C. Frischmon et al. https://doi.org/10.5194/amt-19-2923-2026
10. Characterization of inexpensive metal oxide sensor performance for trace methane detection D. Furuta et al. https://doi.org/10.5194/amt-15-5117-2022
11. Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. https://doi.org/10.3390/atmos13111789
12. Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement E. Nisbet et al. https://doi.org/10.1029/2019RG000675
13. Development of a low-cost UAV-based system for CH4monitoring over oil fields S. Liu et al. https://doi.org/10.1080/09593330.2020.1724199
14. Design and evaluation of a low-cost sensor node for near-background methane measurement D. Furuta et al. https://doi.org/10.5194/amt-17-2103-2024
15. Characterising the methane gas and environmental response of the Figaro Taguchi Gas Sensor (TGS) 2611-E00 A. Shah et al. https://doi.org/10.5194/amt-16-3391-2023
16. Methane (CH4) Detection System Using The TGS2611 Sensor and MQ-4 Sensor M. Ainur Rahma et al. https://doi.org/10.1088/1742-6596/2780/1/012034
17. An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci https://doi.org/10.5194/amt-17-6425-2024
18. Utilization of a Low-Cost Sensor Array for Mobile Methane Monitoring J. Silberstein et al. https://doi.org/10.3390/s24020519
19. Improving the quantification of peak concentrations for air quality sensors via data weighting C. Frischmon et al. https://doi.org/10.5194/amt-18-3147-2025
20. Characterising changes in the methane response of a semiconductor-based metal oxide sensor over time A. Shah et al. https://doi.org/10.1039/D5EA00046G
21. A novel integrated strategy for air quality monitoring in volcanic-hydrothermal, wetland, urban and industrial areas R. Biagi et al. https://doi.org/10.1016/j.atmosenv.2025.121567
22. Nitrogen-Doped Carbon Dots Induced Enhancement in CO2 Sensing Response From ZnO–Porous Silicon Hybrid Structure J. Ramos-Ramón et al. https://doi.org/10.3389/fchem.2020.00291
23. Statistical shape analysis pre-processing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions V. Krivetskiy et al. https://doi.org/10.1016/j.snb.2020.129187
24. Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries D. Kim et al. https://doi.org/10.5194/bg-19-1435-2022
25. Improving Air Pollutant Metal Oxide Sensor Quantification Practices through: An Exploration of Sensor Signal Normalization, Multi-Sensor and Universal Calibration Model Generation, and Physical Factors Such as Co-Location Duration and Sensor Age K. Okorn & M. Hannigan https://doi.org/10.3390/atmos12050645
26. Reconstruction of high-frequency methane atmospheric concentration peaks from measurements using metal oxide low-cost sensors R. Rivera Martinez et al. https://doi.org/10.5194/amt-16-2209-2023
27. Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors K. Okorn et al. https://doi.org/10.1016/j.scitotenv.2021.146194
28. Calibration and Validation of an Autonomous, Novel, Low-Cost, Dynamic Flux Chamber for Measuring Landfill Methane Emissions A. Brown et al. https://doi.org/10.3390/s25216613
29. Methane Advances: Trends and Summary from Selected Studies S. Akpasi et al. https://doi.org/10.3390/methane3020016
30. Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air R. Biagi et al. https://doi.org/10.1016/j.heliyon.2024.e29772
31. The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods X. Qin et al. https://doi.org/10.1016/j.scitotenv.2020.136791
32. SENTINEL: A Shiny app for processing and analysis of fenceline sensor data M. MacDonald et al. https://doi.org/10.1016/j.envsoft.2025.106462
33. Traditional and low-cost technical approaches for investigating greenhouse gases and particulate matter distribution along an urban-to-rural transect (Greve River Basin, Central Italy) M. Ferrari et al. https://doi.org/10.1007/s10653-025-02456-2
34. Using gas-phase air quality sensors to disentangle potential sources in a Los Angeles neighborhood A. Collier-Oxandale et al. https://doi.org/10.1016/j.atmosenv.2020.117519
35. Determining methane mole fraction at a landfill site using the Figaro Taguchi gas sensor 2611-C00 and wind direction measurements A. Shah et al. https://doi.org/10.1039/D3EA00138E
36. Quantile regression with a metal oxide sensors array for methane prediction over a municipal solid waste treatment plant E. Taguem et al. https://doi.org/10.1016/j.snb.2021.129590
37. Understanding the ability of low-cost MOx sensors to quantify ambient VOCs A. Collier-Oxandale et al. https://doi.org/10.5194/amt-12-1441-2019
38. Assessment of the applicability of a low-cost sensor–based methane monitoring system for continuous multi-channel sampling I. Nagahage et al. https://doi.org/10.1007/s10661-021-09290-w
39. Laboratory and field evaluation of a low-cost methane sensor and key environmental factors for sensor calibration J. Lin et al. https://doi.org/10.1039/D2EA00100D
40. Hazardous Air Pollutants Associated with Upstream Oil and Natural Gas Development: A Critical Synthesis of Current Peer-Reviewed Literature D. Garcia-Gonzales et al. https://doi.org/10.1146/annurev-publhealth-040218-043715
41. Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska W. Eugster et al. https://doi.org/10.5194/amt-13-2681-2020
42. Methods for detecting and quantifying hydrogen emissions over a wide range of temporal and spatial scales: a state-of-the-art review A. Connor et al. https://doi.org/10.1016/j.meaene.2025.100069
43. Exposure monitoring toward environmental justice L. Racz & W. Rish https://doi.org/10.1002/ieam.4534
44. Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick https://doi.org/10.3390/encyclopedia5020057
45. Quantification of Si dopant in β-Ga₂O₃-based semiconductor gas sensors by total reflection X-ray fluorescence spectroscopy (TXRF) D. Filatova et al. https://doi.org/10.26896/1028-6861-2022-88-8-5-9
46. Emissions of volatile organic compounds from crude oil processing – Global emission inventory and environmental release H. Rajabi et al. https://doi.org/10.1016/j.scitotenv.2020.138654
47. Calibration and field deployment of low-cost sensor network to monitor underground pipeline leakage Y. Cho et al. https://doi.org/10.1016/j.snb.2021.131276
48. Kitchen Area Air Quality Measurements in Northern Ghana: Evaluating the Performance of a Low-Cost Particulate Sensor within a Household Energy Study E. Coffey et al. https://doi.org/10.3390/atmos10070400
49. Using metal oxide gas sensors to estimate the emission rates and locations of methane leaks in an industrial site: assessment with controlled methane releases R. Rivera-Martinez et al. https://doi.org/10.5194/amt-17-4257-2024
50. The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH4 Variations around Background Concentration R. Rivera Martinez et al. https://doi.org/10.3390/atmos12010107
51. Design and Evaluation of a Reliable Low-Cost Atmospheric Pollution Station in Urban Environment G. Astudillo et al. https://doi.org/10.1109/ACCESS.2020.2980736
52. Applications and Limitations of Quantifying Speciated and Source-Apportioned VOCs with Metal Oxide Sensors K. Okorn & M. Hannigan https://doi.org/10.3390/atmos12111383
53. Quantification of Si Dopant in β-Ga2O3-Based Semiconductor Gas Sensors by Total Reflection X-Ray Fluorescence Spectroscopy (TXRF) D. Filatova et al. https://doi.org/10.1134/S0020168523140066