Immediate Impact

56 standout
Sub-graph 1 of 23

Citing Papers

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
2024 Standout
Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples
2024 Standout
2 intermediate papers

Works of Feng Wu being referenced

Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes
2022
Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network
2016

Author Peers

Author Last Decade Papers Cites
Feng Wu 156 195 134 54 498
Xiaoyu Zhang 172 85 121 33 438
Lu Zhang 214 76 29 34 487
Mengran Zhou 43 145 112 68 545
Hui Zhang 135 51 80 68 495
Marco Carratù 119 181 63 52 513
Mingwei Li 55 119 54 32 483
Shu Wang 134 147 116 89 510
Sangmin Lee 57 163 32 36 554
Wei‐Lung Mao 65 115 45 63 485
Ahmed Sayed M. Metwally 41 116 145 78 466

All Works

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Rankless by CCL
2026