13 citations as recorded by crossref.

1. Siloxane treatment of metal oxide semiconductor gas sensors in temperature-cycled operation – sensitivity and selectivity C. Schultealbert et al. 10.5194/jsss-9-283-2020
2. Concept and realization of a modular and versatile platform for metal oxide semiconductor gas sensors C. Fuchs et al. 10.1515/teme-2022-0046
3. Review–Modern Data Analysis in Gas Sensors M. Sagar et al. 10.1149/1945-7111/aca839
4. Random gas mixtures for efficient gas sensor calibration T. Baur et al. 10.5194/jsss-9-411-2020
5. Measuring Hydrogen in Indoor Air with a Selective Metal Oxide Semiconductor Sensor C. Schultealbert et al. 10.3390/atmos12030366
6. Field Study of Metal Oxide Semiconductor Gas Sensors in Temperature Cycled Operation for Selective VOC Monitoring in Indoor Air T. Baur et al. 10.3390/atmos12050647
7. Machine learning in industrial measurement technology for detection of known and unknown faults of equipment and sensors T. Schneider et al. 10.1515/teme-2019-0086
8. Ganzheitlicher Ablaufplan für wissensgetriebene Projekte des maschinellen Lernens in der Produktion A. Blum et al. 10.1515/teme-2022-0027
9. Algorithms for Automatic Data Validation and Performance Assessment of MOX Gas Sensor Data Using Time Series Analysis C. Hammer et al. 10.3390/a15100360
10. Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves C. Schnur et al. 10.3390/s22010406
11. High-Performance VOC Quantification for IAQ Monitoring Using Advanced Sensor Systems and Deep Learning Y. Robin et al. 10.3390/atmos12111487
12. Gas sensors data analysis system: A user-friendly interface for fast and reliable response-recovery analysis B. de Lima et al. 10.1016/j.chemolab.2021.104460
13. Metal Oxide Nanolayer-Decorated Epitaxial Graphene: A Gas Sensor Study M. Rodner et al. 10.3390/nano10112168