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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network
Zenghui An, Shunming Li, Jinrui Wang, et al.
ISA Transactions (2019) Vol. 100, pp. 155-170
Closed Access | Times Cited: 172

Showing 1-25 of 172 citing articles:

The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Tianfu Li, Zheng Zhou, Sinan Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108653-108653
Closed Access | Times Cited: 308
Deep transfer learning with limited data for machinery fault diagnosis
Te Han, Chao Liu, Rui Wu, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107150-107150
Closed Access | Times Cited: 170
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Yong Feng, Jinglong Chen, Jingsong Xie, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107646-107646
Closed Access | Times Cited: 164
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis
Ke Zhao, Hongkai Jiang, Kaibo Wang, et al.
Knowledge-Based Systems (2021) Vol. 222, pp. 106974-106974
Closed Access | Times Cited: 157
Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
ISA Transactions (2021) Vol. 128, pp. 470-484
Closed Access | Times Cited: 147
A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 134
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Zhenya Wang, Ligang Yao, Gang Chen, et al.
ISA Transactions (2021) Vol. 114, pp. 470-484
Closed Access | Times Cited: 128
Application of recurrent neural network to mechanical fault diagnosis: a review
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 2, pp. 527-542
Closed Access | Times Cited: 105
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition
Jiusi Zhang, Ke Zhang, Yiyao An, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 6231-6242
Closed Access | Times Cited: 104
A novel multi-scale CNN and attention mechanism method with multi-sensor signal for remaining useful life prediction
Xingwei Xu, Xiang Li, Weiwei Ming, et al.
Computers & Industrial Engineering (2022) Vol. 169, pp. 108204-108204
Closed Access | Times Cited: 80
Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis
Wonho Jung, Seong-Hu Kim, Sung-Hyun Yun, et al.
Data in Brief (2023) Vol. 48, pp. 109049-109049
Open Access | Times Cited: 50
Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations
Chao He, Hongmei Shi, Ruixin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102568-102568
Open Access | Times Cited: 17
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4757-4769
Closed Access | Times Cited: 95
Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions
Baokun Han, Xiao Zhang, Jinrui Wang, et al.
Measurement (2021) Vol. 176, pp. 109197-109197
Closed Access | Times Cited: 87
Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples
Shen Liu, Jinglong Chen, Shuilong He, et al.
ISA Transactions (2021) Vol. 128, pp. 531-544
Closed Access | Times Cited: 82
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case
Lei Zou, Yang Li, Feiyun Xu
Neurocomputing (2020) Vol. 407, pp. 105-120
Closed Access | Times Cited: 81
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions
Fei Wang, Ruonan Liu, Qinghua Hu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2511-2521
Closed Access | Times Cited: 78
Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss
Aijun Yin, Yinghua Yan, Zhe Zhang, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2339-2339
Open Access | Times Cited: 76
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis
Yu Wang, Ruonan Liu, Di Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 2, pp. 761-774
Closed Access | Times Cited: 56
A remaining life prediction of rolling element bearings based on a bidirectional gate recurrent unit and convolution neural network
Yajun Shang, Xinglu Tang, Zhao Guang-qian, et al.
Measurement (2022) Vol. 202, pp. 111893-111893
Closed Access | Times Cited: 53
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis
Jingde Li, Changqing Shen, Lin Kong, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Open Access | Times Cited: 42
Signal-Transformer: A Robust and Interpretable Method for Rotating Machinery Intelligent Fault Diagnosis Under Variable Operating Conditions
Jian Tang, Guanhui Zheng, Chao Wei, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 41
A novel cross-domain fault diagnosis method based on model agnostic meta-learning
Tianyuan Yang, Tang Tang, Jingwei Wang, et al.
Measurement (2022) Vol. 199, pp. 111564-111564
Closed Access | Times Cited: 41
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