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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 convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
Yiwei Cheng, Kui Hu, Jun Wu, et al.
Advanced Engineering Informatics (2021) Vol. 48, pp. 101247-101247
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 163
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 145
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Ke Zhao, Zhen Jia, Feng Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105860-105860
Closed Access | Times Cited: 128
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2022) Vol. 52, pp. 101554-101554
Closed Access | Times Cited: 118
Remaining useful life prediction of bearings by a new reinforced memory GRU network
Jianghong Zhou, Yi Qin, Dingliang Chen, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101682-101682
Closed Access | Times Cited: 84
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks
Minghang Zhao, Xuyun Fu, Yongjian Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101535-101535
Closed Access | Times Cited: 69
A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model
Zifei Xu, Musa Bashir, Qinsong Liu, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108999-108999
Open Access | Times Cited: 57
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Li Jiang, Tianao Zhang, Lei Wei, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 54
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 51
Forecast-driven stochastic optimization scheduling of an energy management system for an isolated hydrogen microgrid
Weichao Dong, Hexu Sun, Chunxiao Mei, et al.
Energy Conversion and Management (2023) Vol. 277, pp. 116640-116640
Closed Access | Times Cited: 41
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines
Lin Lin, Jin‐Lei Wu, Song Fu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102372-102372
Closed Access | Times Cited: 35
Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems
Yiwei Cheng, Kui Hu, Jun Wu, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 2, pp. 1081-1092
Closed Access | Times Cited: 63
Remaining useful life prediction of rolling bearing based on multi-head attention embedded Bi-LSTM network
Yizhe Shen, Baoping Tang, Biao Li, et al.
Measurement (2022) Vol. 202, pp. 111803-111803
Closed Access | Times Cited: 51
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
Tao Jing, Pai Zheng, Liqiao Xia, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101781-101781
Closed Access | Times Cited: 44
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
Yiwei Cheng, Chao Wang, Jun Wu, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108507-108507
Closed Access | Times Cited: 40
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction
Haodong Li, Peng Cao, Xingwei Wang, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101898-101898
Closed Access | Times Cited: 33
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model
Long Wen, Guang Yang, Longxin Hu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107562-107562
Closed Access | Times Cited: 28
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106491-106491
Closed Access | Times Cited: 24
A class-level matching unsupervised transfer learning network for rolling bearing fault diagnosis under various working conditions
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110739-110739
Closed Access | Times Cited: 24
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Zhiyuan Wang, Junyu Guo, Jiang Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105105-105105
Closed Access | Times Cited: 22
Remaining useful life prediction for rolling bearings using multi-layer grid search and LSTM
Zihan Chang, Wei Yuan, Kou Huang
Computers & Electrical Engineering (2022) Vol. 101, pp. 108083-108083
Closed Access | Times Cited: 36
Hybrid scheme through read-first-LSTM encoder-decoder and broad learning system for bearings degradation monitoring and remaining useful life estimation
Yongmeng Zhu, Jiechang Wu, Xing Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102014-102014
Open Access | Times Cited: 19
Estimating remaining useful life of rotating machinery using relevance vector machine and deep learning network
Lele Li, Jiawang Xu, Juguang Li
Engineering Failure Analysis (2023) Vol. 146, pp. 107125-107125
Closed Access | Times Cited: 18
Remaining useful life prediction of rolling bearings based on TCN-MSA
Guang‐Jun Jiang, Zheng-Wei Duan, Qi Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025125-025125
Closed Access | Times Cited: 18
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