articleTop 1% cited
A fast and robust convolutional neural network-based defect detection model in product quality control
The International Journal of Advanced Manufacturing Technology · 2017 · Vol. 94(9-12) · pp. 3465–3471
Tian Wang✉(Beihang University)Yang Chen(Beihang University)Meina Qiao(Beihang University)Hichem Snoussi(Université de Technologie de Troyes)
Industrial Vision Systems and Defect DetectionSurface Roughness and Optical MeasurementsImage and Object Detection TechniquesConvolutional neural networkBenchmark (surveying)Computer scienceArtificial intelligenceFocus (optics)Deep learningNoise (video)Quality (philosophy)Product (mathematics)Pattern recognition (psychology)
Funding
- Agence Nationale de la Recherche
- National Natural Science Foundation of China
- Aeronautical Science Foundation of China
- Centre National de la Recherche Scientifique
- Université de Technologie de Troyes
- Fundamental Research Funds for the Central Universities
Citations
485
FWCI
37.66
field-weighted impact
References
26
Percentile
100%
vs. same field & year
Citations per year
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References
Big Data in product lifecycle management
The International Journal of Advanced Manufacturing Technology · 2015 · 476 citations
IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing
IEEE Transactions on Industrial Informatics · 2014 · 586 citations
CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System
IEEE Transactions on Industrial Informatics · 2014 · 714 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Digital twin-driven product design, manufacturing and service with big data
The International Journal of Advanced Manufacturing Technology · 2017 · 2,689 citations
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