Standout Papers

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks 2018 2026 2020 2023 277
  1. Bearing remaining useful life prediction based on deep autoencoder and deep neural networks (2018)
    Lei Ren, Yaqiang Sun et al. Journal of Manufacturing Systems

Immediate Impact

66 standout
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Citing Papers

Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management
2024 Standout
Evaluation metrics and statistical tests for machine learning
2024 Standout
4 intermediate papers

Works of Yaqiang Sun being referenced

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
2018 Standout
Multi-bearing remaining useful life collaborative prediction: A deep learning approach
2017

Author Peers

Author Last Decade Papers Cites
Yaqiang Sun 501 313 27 157 5 668
André Listou Ellefsen 433 146 28 163 9 666
Gaoliang Peng 577 378 10 70 7 721
Shaopeng Dong 380 155 47 148 10 622
Qiang Fu 418 239 21 76 19 620
Jianghong Zhou 556 298 20 122 22 743
Jialin Li 438 245 25 75 21 587
Dingliang Chen 518 303 10 133 17 700
Jacek Dybała 566 368 57 162 19 723
Chunyu Liu 286 320 12 99 18 709
Sheraz Ali Khan 540 347 15 177 23 761

All Works

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2026