Standout Papers
Immediate Impact
62 standout
Citing Papers
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
2024 Standout
Works of Li Han being referenced
Remaining useful life prediction using multi-scale deep convolutional neural network
2020 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Li Han | 29 | 5 | 186 | 73 | 7 | 276 | ||
| Mélanie Ducoffe | 23 | 5 | 174 | 60 | 5 | 327 | ||
| Soheil Zabihi | 22 | 4 | 171 | 58 | 9 | 310 | ||
| Xuewen Miao | 6 | 5 | 128 | 44 | 6 | 262 | ||
| Ivo Paixão de Medeiros | 5 | 2 | 173 | 58 | 7 | 307 | ||
| Ziqian Kong | 11 | 235 | 63 | 10 | 336 | |||
| Surya Teja Kandukuri | 8 | 2 | 169 | 84 | 12 | 257 | ||
| Emna Laajili | 7 | 3 | 199 | 66 | 2 | 285 | ||
| Shahin Siahpour | 10 | 6 | 90 | 92 | 14 | 241 | ||
| Andreas Klausen | 7 | 2 | 245 | 145 | 13 | 321 | ||
| Minglan Xiong | 9 | 7 | 80 | 41 | 13 | 259 |
All Works
Login with ORCID to disown or claim papers
Loading papers...