Ruqiang Yan - Concepedia

Author

Ruqiang Yan

Also Known As

Chenxi Wang, George Xiao, Kristen Donnell, Marco Parvis, R Yan, R. Yan, R.Q. Yan, RUQIANG YAN, Ru Qiang Yan, Ru-Qiang Yan

568

Publications

30.8K

Citations

H-Index

265

Concepts

All Affiliations

Xi'an Jiaotong University Southeast University Case Western Reserve University University of Connecticut University of Massachusetts Amherst

About

Ruqiang Yan is an author at Xi'an Jiaotong University specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	77	219	25.8K
2	Education	11	13	486
3	Business	5	5	208
4	Health Sciences	2	2	44
5	Language Studies	1	1	83

Ruqiang Yan

270

Publications

27.7K

Citations

H-Index

Page 1

	Year	Citations
Deep learning and its applications to machine health monitoring Rui Zhao, Ruqiang Yan, Zhenghua Chen, Mechanical Systems and Signal Processing EngineeringIntelligent DiagnosticsMachine LearningData ScienceDeep Learning	2018	2.4K
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning Siyu Shao, Stephen McAleer, Ruqiang Yan, IEEE Transactions on Industrial Informatics Fault DiagnosisEngineeringMachine LearningData ScienceGearbox Dataset	2018	1.5K
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks Rui Zhao, Dongzhe Wang, Ruqiang Yan, IEEE Transactions on Industrial Electronics Convolutional Neural NetworkEngineeringMachine LearningIntelligent DiagnosticsFault Forecasting	2017	852
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges Weihua Li, Ruyi Huang, Jipu Li, Mechanical Systems and Signal Processing Artificial IntelligenceFault DiagnosisEngineeringMachine LearningData Science	2021	742
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks Rui Zhao, Ruqiang Yan, Jinjiang Wang, Sensors Convolutional Neural NetworkEngineeringMachine LearningNeural Networks (Machine Learning)Intelligent Diagnostics	2017	717
A sparse auto-encoder-based deep neural network approach for induction motor faults classification Wenjun Sun, Siyu Shao, Rui Zhao, Measurement Fault DiagnosisEngineeringMachine LearningDiagnosisFault Forecasting	2016	682
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study Zhibin Zhao, Tianfu Li, Jingyao Wu, ISA Transactions Artificial IntelligenceEngineeringMachine LearningData ScienceIntelligent Diagnostics	2020	593
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach Zhenghua Chen, Min Wu, Rui Zhao, IEEE Transactions on Industrial Electronics Convolutional Neural NetworkEngineeringMachine LearningLife PredictionConventional Lstm Network	2020	549
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study Tianfu Li, Zheng Zhou, Sinan Li, Mechanical Systems and Signal Processing Fault DiagnosisReliability EngineeringGraph Neural NetworksGraph TheoryMachine Learning	2021	548
Generative adversarial networks for data augmentation in machine fault diagnosis Siyu Shao, Pu Wang, Ruqiang Yan Computers in Industry Artificial IntelligenceData AugmentationEngineeringMachine LearningData Science	2019	518

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