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
  2. An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox (2017)
    Lu Jing, Wang Tai-yong et al. Sensors

Immediate Impact

58 standout
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Citing Papers

Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
2024 Standout
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout
1 intermediate paper

Works of Lu Jing being referenced

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
2017 Standout

Author Peers

Author Last Decade Papers Cites
Lu Jing 577 423 76 238 11 852
Li Pin 573 424 66 209 18 783
K. R. Al-Balushi 823 621 83 278 11 1.1k
Xiaoyang Liu 602 423 76 214 16 814
Bram Vervisch 744 517 124 290 17 975
Viktor Slavkovikj 714 510 89 333 7 1.1k
Masoud Ghaffari 806 384 54 256 14 1.1k
Murat Aşkar 681 381 138 228 15 1000
Tianchen Liang 737 481 73 257 14 960
Miao He 503 376 129 174 20 841
Meng Hee Lim 510 287 99 158 24 749

All Works

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2026