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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 temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Yudong Cao, Yifei Ding, Minping Jia, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107813-107813
Closed Access | Times Cited: 233

Showing 1-25 of 233 citing articles:

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism
Jiusi Zhang, Yuchen Jiang, Shimeng Wu, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108297-108297
Closed Access | Times Cited: 229
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107927-107927
Closed Access | Times Cited: 146
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
Ingeborg de Pater, Arthur Reijns, Mihaela Mitici
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108341-108341
Open Access | Times Cited: 88
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
Bayesian deep-learning for RUL prediction: An active learning perspective
Rong Zhu, Yuan Chen, Weiwen Peng, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108758-108758
Closed Access | Times Cited: 84
Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism
Yupeng Wei, Dazhong Wu, Janis Terpenny
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110010-110010
Closed Access | Times Cited: 71
Multivariate stacked bidirectional long short term memory for lithium-ion battery health management
Reza Rouhi Ardeshiri, Ming Liu, Chengbin Ma
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108481-108481
Closed Access | Times Cited: 69
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 parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings
Lixiao Cao, Hongyu Zhang, Zong Meng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109197-109197
Closed Access | Times Cited: 52
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
High cycle fatigue life prediction of titanium alloys based on a novel deep learning approach
Siyao Zhu, Yue Zhang, Beichen Zhu, et al.
International Journal of Fatigue (2024) Vol. 182, pp. 108206-108206
Closed Access | Times Cited: 15
Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism
Tingting Mou, Hongbo Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM
Bo Sun, Wenting Hu, Hao Wang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 554-554
Open Access | Times Cited: 1
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains
Song Fu, Yongjian Zhang, Lin Lin, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108012-108012
Closed Access | Times Cited: 82
An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation
Wennian Yu, Yimin Shao, Jin Xu, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 108099-108099
Closed Access | Times Cited: 64
Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics
Yuanhong Chang, Fudong Li, Jinglong Chen, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108701-108701
Closed Access | Times Cited: 60
Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions
Ruxue Bai, Zong Meng, Quansheng Xu, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109076-109076
Closed Access | Times Cited: 57
Trend attention fully convolutional network for remaining useful life estimation
Linchuan Fan, Yi Chai, Xiaolong Chen
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108590-108590
Closed Access | Times Cited: 53
Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning
Dan Xu, Xiaoqi Xiao, Jie Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108886-108886
Closed Access | Times Cited: 53
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model
Wanmeng Ding, Jimeng Li, Weilin Mao, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109072-109072
Closed Access | Times Cited: 53
RUL prediction of machinery using convolutional-vector fusion network through multi-feature dynamic weighting
Xiaofei Liu, Yaguo Lei, Naipeng Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109788-109788
Closed Access | Times Cited: 52
Distance self-attention network method for remaining useful life estimation of aeroengine with parallel computing
Jun Xia, Yunwen Feng, Da Teng, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108636-108636
Closed Access | Times Cited: 46
A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems
Danyang Xu, Haobo Qiu, Liang Gao, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108444-108444
Closed Access | Times Cited: 41
Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings
Fei Jiang, Kang Ding, Guolin He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 41
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