56 citations as recorded by crossref.

1. Environmental Effects on NDIR-Based CH4 Monitoring: Characterization and Correction W. Dong et al. https://doi.org/10.1021/acs.est.4c11110
2. Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris J. Lian et al. https://doi.org/10.5194/amt-17-5821-2024
3. Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL D. Brunner et al. https://doi.org/10.5194/acp-25-14387-2025
4. Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. https://doi.org/10.1007/s11356-023-29836-4
5. Metrology for low-cost CO2 sensors applications: the case of a steady-state through-flow (SS-TF) chamber for CO2 fluxes observations R. Curcoll et al. https://doi.org/10.5194/amt-15-2807-2022
6. On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems Y. You et al. https://doi.org/10.1109/JIOT.2022.3144934
7. Noise and stability characteristics of electrically controllable mid-infrared filters for high-sensitivity NDIR sensors Y. Awane et al. https://doi.org/10.1364/JOSAB.547340
8. Room temperature operated carbon dioxide sensor based on silver doped zinc oxide/cupric oxide nanoflowers S. Keerthana & K. Rathnakannan https://doi.org/10.1016/j.snb.2022.133181
9. Observed decreases in on-road CO2 concentrations in Beijing during COVID-19 restrictions D. Liu et al. https://doi.org/10.5194/acp-21-4599-2021
10. Advances in the design of urban CO2 emission monitoring networks: a review J. Li et al. https://doi.org/10.1007/s44246-025-00239-z
11. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. https://doi.org/10.1088/1748-9326/ac8fa9
12. Waveform Jitter Caused by Local Heterogeneity in Tungsten Carbide Powder Samples and Its Suppression for Improved Carbon Quantification Reproducibility S. PARK et al. https://doi.org/10.2497/jjspm.26-00019
13. Estimation of CO2 fluxes in the cities of Zurich and Paris using the ICON-ART CTDAS inverse modelling framework N. Ponomarev et al. https://doi.org/10.5194/acp-26-547-2026
14. Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring A. Pietrenko-Dabrowska et al. https://doi.org/10.1016/j.measurement.2024.115168
15. Low-Cost CO2 NDIR Sensors: Performance Evaluation and Calibration Using Machine Learning Techniques R. Dubey et al. https://doi.org/10.3390/s24175675
16. Development of graphene coated nanostructures for indoor carbon dioxide gas sensing S. Keerthana et al. https://doi.org/10.1007/s10854-025-14730-1
17. A 30-month field evaluation of low-cost CO2 sensors using a reference instrument Q. Cai et al. https://doi.org/10.5194/amt-18-4871-2025
18. Optimization and effect comparison of typical gas pressure compensation model in chemical industry park F. Tian et al. https://doi.org/10.1016/j.infrared.2024.105621
19. Tenta: Remote and Real-Time Sensor Network Management F. Böhm et al. https://doi.org/10.21105/joss.07311
20. Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement S. Koziel et al. https://doi.org/10.3390/s25082352
21. 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
22. The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy E. Delaria et al. https://doi.org/10.5194/amt-14-5487-2021
23. Evaluation of low-cost formaldehyde sensors calibration M. Justo Alonso et al. https://doi.org/10.1016/j.buildenv.2022.109380
24. GETCO2: A Compact and Portable System for Automated Gas Transfer Velocity Measurements of Natural Waters S. Norouzi & R. Pereira https://doi.org/10.1021/acsearthspacechem.5c00329
25. High-performance machine-learning-based calibration of low-cost nitrogen dioxide sensor using environmental parameter differentials and global data scaling S. Koziel et al. https://doi.org/10.1038/s41598-024-77214-y
26. 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
27. Low-Cost CO2 Sensors: On-Site Performance Evaluation and Co-Location Correction Procedure for Reliable Ventilation Assessments in Schools D. Honan et al. https://doi.org/10.3390/s26041265
28. ACROPOLIS: Munich urban CO2 sensor network P. Aigner et al. https://doi.org/10.5194/amt-19-745-2026
29. Hierarchical ZnO/CuO nanostructures for room temperature detection of carbon dioxide S. Keerthana & K. Rathnakannan https://doi.org/10.1016/j.jallcom.2021.162988
30. Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning Y. Colléaux et al. https://doi.org/10.3390/s25051423
31. A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. https://doi.org/10.1016/j.comcom.2021.08.003
32. A Review of Gas Measurement Practices and Sensors for Tunnels J. Cepa et al. https://doi.org/10.3390/s23031090
33. Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. https://doi.org/10.1016/j.egyr.2023.04.047
34. Stochastic Drift Modeling for NDIR Gas Sensors: Separating Environmental Effects and Instrumental Drift C. Yang et al. https://doi.org/10.1109/TIM.2026.3682797
35. Carbon Dioxide Sensing—Biomedical Applications to Human Subjects E. Dervieux et al. https://doi.org/10.3390/s22010188
36. Experimental study on the application of mobile sensing in wireless sensor networks development: Node placement planning and on-site calibration J. Ren et al. https://doi.org/10.1016/j.snb.2025.137338
37. Effects of Environmental Factors on the Performance of Ground-Based Low-Cost CO2 Sensors X. Ren et al. https://doi.org/10.3390/s25196114
38. Analysis of anthropogenic CO2 emission uncertainty and influencing factors at city scale in Yangtze River Delta region: One of the world's largest emission hotspots H. Liu et al. https://doi.org/10.1016/j.apr.2024.102281
39. The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al. https://doi.org/10.5194/acp-25-2781-2025
40. Sistema IOT para medición de C02 en las zonas urbanas: una aproximación sistemática J. Nicolalde López et al. https://doi.org/10.46652/rgn.v10i47.1555
41. Indoor air quality monitoring and source apportionment using low-cost sensors C. Higgins et al. https://doi.org/10.1088/2515-7620/ad1cad
42. A portable low-cost device to quantify advective gas fluxes from mofettes into the lower atmosphere: First application to Starzach mofettes (Germany) Y. Büchau et al. https://doi.org/10.1007/s10661-023-12114-8
43. High spatial resolution CO2 measurement using low-cost commercial sensors in Seoul megacity J. Park et al. https://doi.org/10.5194/amt-19-2163-2026
44. AQ-MultiCal: An Interactive No-Code Machine Learning Platform for Low-Cost Air Quality Sensor Calibration and Comparative Model Analysis M. Taştan et al. https://doi.org/10.3390/s26082398
45. Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. https://doi.org/10.1016/j.scitotenv.2024.175428
46. Statistical data pre-processing and time series incorporation for high-efficacy calibration of low-cost NO2 sensor using machine learning S. Koziel et al. https://doi.org/10.1038/s41598-024-59993-6
47. Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing S. Koziel et al. https://doi.org/10.1016/j.jestch.2024.101729
48. Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. https://doi.org/10.1007/s13143-020-00213-2
49. Networked Low-Cost Sensor Systems for Urban Air Quality Monitoring: A Long-Term Use-Case in Bari (Italy) M. Penza et al. https://doi.org/10.3390/chemosensors13110380
50. Time-Adaptive Expectation Maximization Learning Framework for HMM Based Data-Driven Gas Sensor Calibration Y. You & T. Oechtering https://doi.org/10.1109/TII.2022.3215960
51. On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction S. Koziel et al. https://doi.org/10.1016/j.knosys.2024.111564
52. Assessing and Improving IoT Sensor Data Quality in Environmental Monitoring Networks: A Focus on Peatlands N. Okafor et al. https://doi.org/10.1109/JIOT.2024.3454241
53. Infrared spectroscopy for real-time gas logging: a critical review of methodological advances and field deployment challenges A. Raza et al. https://doi.org/10.1080/05704928.2025.2611743
54. The Zurich Low-cost CO2 sensor network (ZiCOS-L): data processing, performance assessment and analysis of spatial and temporal CO2 dynamics L. Creman et al. https://doi.org/10.5194/amt-19-1441-2026
55. On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al. https://doi.org/10.3390/atmos14091348
56. Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. https://doi.org/10.3390/s24092680