Standout Papers

Potential, challenges and future directions for deep learning in prognostics and health management applicatio... 2020 2026 2022 2024305
  1. Potential, challenges and future directions for deep learning in prognostics and health management applications (2020)
    Olga Fink, Qin Wang et al. Engineering Applications of Artificial Intelligence

Immediate Impact

2 from Science/Nature 59 standout
Sub-graph 1 of 22

Citing Papers

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
5 intermediate papers

Works of Wan-Jui Lee being referenced

Potential, challenges and future directions for deep learning in prognostics and health management applications
2020 Standout

Author Peers

Author Last Decade Papers Cites
Wan-Jui Lee 30 91 179 62 14 371
Mélanie Ducoffe 23 91 174 60 5 327
Rédouane Seraoui 11 68 217 79 14 348
Xu Li 14 69 239 138 22 403
Leïla Hayet Mouss 21 119 203 79 41 400
Gabriel Michau 21 125 205 90 19 377
Teng Wang 26 43 202 148 20 349
Kai Guo 38 77 155 48 21 345
Tianhua Xu 54 66 104 114 12 357
Tongxin Shu 22 46 176 92 8 337
Stefan Byttner 13 68 131 38 32 353

All Works

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2026