Standout Papers
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2017)
- Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data (2018)
- Deep separable convolutional network for remaining useful life prediction of machinery (2019)
- Machinery health indicator construction based on convolutional neural networks considering trend burr (2018)
- Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery (2019)
Immediate Impact
63 standout
Citing Papers
Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
2025 Standout
Global and regional patterns of soil metal(loid) mobility and associated risks
2025 Standout
Works of Tao Yan being referenced
Deep separable convolutional network for remaining useful life prediction of machinery
2019 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Tao Yan | 2899 | 1730 | 1089 | 42 | 4.0k | |
| Kamal Medjaher | 2283 | 1261 | 795 | 110 | 3.5k | |
| Ningbo Li | 2544 | 1460 | 916 | 14 | 3.1k | |
| Daming Lin | 1822 | 933 | 1252 | 25 | 3.4k | |
| David He | 2551 | 1946 | 619 | 119 | 4.7k | |
| Bo‐Suk Yang | 3173 | 1733 | 656 | 94 | 5.0k | |
| Jing Lin | 3169 | 2092 | 463 | 111 | 4.8k | |
| Dragan Banjević | 2203 | 1086 | 2131 | 69 | 4.6k | |
| Biao Wang | 1792 | 1126 | 469 | 35 | 2.6k | |
| Andy Tan | 1998 | 1407 | 457 | 99 | 3.1k | |
| Liang Guo | 4532 | 3011 | 1119 | 120 | 6.4k |
All Works
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