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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 84 citing articles:

Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Qing Ni, Jinchen Ji, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109753-109753
Closed Access | Times Cited: 85
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
The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Tongguang Yang, Guanchen Li, Kaitai Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102558-102558
Closed Access | Times Cited: 16
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
FECAM: Frequency enhanced channel attention mechanism for time series forecasting
Maowei Jiang, Pengyu Zeng, Kai Wang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102158-102158
Open Access | Times Cited: 34
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
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23
Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation
Han-Bing Zhang, De-Jun Cheng, Kaili Zhou, et al.
Knowledge-Based Systems (2023) Vol. 266, pp. 110391-110391
Closed Access | Times Cited: 22
Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm
Thao Nguyen Da, Phuong Nguyen Thanh, Ming-Yuan Cho
Internet of Things (2024) Vol. 26, pp. 101164-101164
Closed Access | Times Cited: 11
A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
Xuewu Pei, Xinyu Li, Liang Gao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111122-111122
Closed Access | Times Cited: 10
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction
Haodong Li, Peng Cao, X. Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102517-102517
Closed Access | Times Cited: 7
Remaining useful life prediction of bearings with attention-awared graph convolutional network
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 58, pp. 102143-102143
Open Access | Times Cited: 21
Bayesian large-kernel attention network for bearing remaining useful life prediction and uncertainty quantification
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109421-109421
Closed Access | Times Cited: 20
Local Enhancing Transformer With Temporal Convolutional Attention Mechanism for Bearings Remaining Useful Life Prediction
Huachao Peng, Bin Jiang, Zehui Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 18
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
Rui Bai, Khandaker Noman, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110047-110047
Closed Access | Times Cited: 7
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
Adaptive staged remaining useful life prediction of roller in a hot strip mill based on multi-scale LSTM with multi-head attention
Ting Zhu, Zhen Chen, Di Zhou, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110161-110161
Closed Access | Times Cited: 6
Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM
Guo Yuan, Jun Zhou, Zhenbiao Dong, et al.
IEEE Access (2024) Vol. 12, pp. 95641-95658
Open Access | Times Cited: 5
A weighted time embedding transformer network for remaining useful life prediction of rolling bearing
Mingyuan Zhang, Chen He, Chengxuan Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110399-110399
Closed Access | Times Cited: 5
Prediction of seam tracking errors in the intelligent welding system: A rapid prediction method based on real-time monitoring data
Gang Shang, Liyun Xu, Zufa Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103124-103124
Closed Access
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
An ensemble deep learning network based on 2D convolutional neural network and 1D LSTM with self-attention for bearing fault diagnosis
Liying Wang, Weiguo Zhao
Applied Soft Computing (2025), pp. 112889-112889
Closed Access
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