14 citations as recorded by crossref.

1. Failure Detection in Sensors via Variational Autoencoders and Image-Based Feature Representation L. Moreno Haro et al. 10.3390/s25072175
2. [Retracted] Course Ideological and Political Teaching Platform Based on the Fusion of Multiple Data and Information in an Intelligent Environment J. Zhou et al. 10.1155/2021/1558360
3. A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster–Shafer Evidence Theory W. Jiang et al. 10.3390/s17091972
4. Feature fusion to increase the robustness of machine learners in industrial environments C. Holst & V. Lohweg 10.1515/auto-2019-0028
5. A Redundancy Metric Set within Possibility Theory for Multi-Sensor Systems C. Holst & V. Lohweg 10.3390/s21072508
6. Hybrid data fusion model for restricted information using Dempster–Shafer and adaptive neuro-fuzzy inference (DSANFI) system E. Brumancia et al. 10.1007/s00500-018-03734-1
7. Identification of defected sensors in an array of amperometric gas sensors M. Dmitrzak et al. 10.1108/SR-10-2021-0348
8. RETRACTED ARTICLE: Design and Implementation of Track and Field Training Information Collection and Feedback System Based on Multi-sensor Information Fusion L. Li & C. Li 10.1186/s13634-021-00773-z
9. Information Fusion of Conflicting Input Data U. Mönks et al. 10.3390/s16111798
10. Designing Possibilistic Information Fusion—The Importance of Associativity, Consistency, and Redundancy C. Holst & V. Lohweg 10.3390/metrology2020012
11. A Reliability-Based Method to Sensor Data Fusion W. Jiang et al. 10.3390/s17071575
12. Sensors Information Fusion System with Fault Detection Based on Multi-Manifold Regularization Neighborhood Preserving Embedding J. Wu et al. 10.3390/s19061440
13. Optimization of carbon emission peak path based on multisensor information fusion and integrated intelligent algorithm C. Shi & X. Feng 10.1016/j.egyr.2022.08.182
14. Saliency area detection algorithm of electronic information and image processing based on multi-sensor data fusion X. Zhang & K. Ye 10.1186/s13634-021-00805-8