Ruqiang Yan

Control and Systems Engineering · 2006–2021

A researcher in the Science corpus: 19 papers; trusts 202 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 139 citations into it; #791 of 8,257 by trust here, #265 by citations
• Artificial Intelligence — 114 citations into it; #17,796 of 35,345 by trust here, #7,945 by citations
• Computer Vision and Pattern Recognition — 91 citations into it
• Mechanical Engineering — 79 citations into it; #2,734 of 8,300 by trust here, #3,592 by citations
• Representation & Self-Supervised Learning — 46 citations into it
• Mechanics of Materials — 45 citations into it; #2,227 of 6,291 by trust here, #1,893 by citations
• Model Architectures — 39 citations into it
• Optimization & Training — 20 citations into it

Whom Ruqiang Yan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Chstoph Bandt
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. J. Urgen Schmidhuber
8. Ilya Sutskever
9. P. W. Tse
10. Xuefeng Chen

Who trusts Ruqiang Yan overall

1. Hongtian Chen
2. Abdenour Soualhi
3. Jing Tian
4. Ruonan Liu
5. Levent Tolga Eren
6. Zhiqiang Chen
7. Vinay Vakharia
8. A. Espinosa
9. Guoqian Jiang
10. Long Wen

Papers from Ruqiang Yan's perspective

Ordered by how strongly the researchers Ruqiang Yan trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines (2012) — 356 citations
• Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach (2021) — 521 citations
• Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study (2020) — 588 citations
• DCNN-Based Multi-Signal Induction Motor Fault Diagnosis (2020) — 356 citations
• Deep learning and its applications to machine health monitoring (2019) — 2,506 citations
• Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing (2019) — 434 citations
• Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning (2019) — 1,371 citations
• Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study (2019) — 505 citations
• Generative adversarial networks for data augmentation in machine fault diagnosis (2019) — 498 citations
• Long short-term memory for machine remaining life prediction (2018) — 411 citations
• Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks (2018) — 735 citations
• A multi-time scale approach to remaining useful life prediction in rolling bearing (2017) — 216 citations
• Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks (2017) — 691 citations
• A sparse auto-encoder-based deep neural network approach for induction motor faults classification (2016) — 675 citations
• Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosis (2016) — 153 citations
• Wavelets for fault diagnosis of rotary machines: A review with applications (2014) — 1,410 citations
• Wavelets: Theory and Applications for Manufacturing (2010) — 358 citations
• Harmonic wavelet-based data filtering for enhanced machine defect identification (2010) — 68 citations
• Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring (2006) — 359 citations