Standout Papers

A convolutional neural network based feature learning and fault diagnosis method for the condition mon... 2017 2026 2020 2023 497
  1. A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox (2017)
    Lu Jing, Ming Zhao et al. Measurement

Immediate Impact

61 standout
Sub-graph 1 of 21

Citing Papers

Machine Learning Aided Design and Optimization of Thermal Metamaterials
2024 Standout
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring
2024 Standout
1 intermediate paper

Works of Li Pin being referenced

A novel scalable method for machine degradation assessment using deep convolutional neural network
2019
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
2017 Standout

Author Peers

Author Last Decade Papers Cites
Li Pin 424 573 209 18 783
Lu Jing 423 577 238 11 852
Bram Vervisch 517 744 290 17 975
W. Głowacz 383 511 184 29 780
Mani Entezami 354 432 138 31 673
Tianyang Wang 537 649 206 20 862
Meng Hee Lim 287 510 158 24 749
Xiaoyang Liu 423 602 214 16 814
Zexian Wei 371 549 192 24 754
Chander Parkash 346 517 147 24 662
Guangqi Qiu 413 461 252 37 869

All Works

Loading papers...

Rankless by CCL
2026