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
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Citing Papers

Uncertainty-oriented physics-informed long short-term memory (UOPI-LSTM) network framework for dynamic force identification with interval uncertainties
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Integrating AI with detection methods, IoT, and blockchain to achieve food authenticity and traceability from farm-to-table
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2 intermediate papers

Works of Mélanie Ducoffe 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
Mélanie Ducoffe 91 174 23 60 5 327
Wan-Jui Lee 91 179 30 62 14 371
Qianhui Wu 83 222 27 91 5 353
Muheng Wei 43 158 9 72 11 274
Rédouane Seraoui 68 217 11 79 14 348
Xuefeng Chen 105 270 12 102 6 366
Andongzhe Duan 75 200 11 120 7 303
Tongxin Shu 46 176 22 92 8 337
Ziqian Kong 56 235 11 63 10 336
Xuewen Miao 39 128 6 44 6 262
Xiaojian Xu 66 182 7 88 5 319

All Works

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2026