Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
2018
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
Enabling technologies and tools for digital twin
2019 Standout
Detection of sitting posture using hierarchical image composition and deep learning
2021 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
2019
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
A Survey on Deep Learning Empowered IoT Applications
2019
A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Deep learning enabled intelligent fault diagnosis: Overview and applications
2018
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
A review on the application of deep learning in system health management
2018
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
2018
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
2017
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
2019 Standout
A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM
2019
Deep learning for time series classification: a review
2019 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Lukun Wang being referenced
Transformer fault diagnosis using continuous sparse autoencoder
2016
Recognition of Human Activities Using Continuous Autoencoders with Wearable Sensors
2016