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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:

An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme
Wennian Yu, Il Yong Kim, Chris Mechefske
Reliability Engineering & System Safety (2020) Vol. 199, pp. 106926-106926
Closed Access | Times Cited: 216

Showing 1-25 of 216 citing articles:

Fusing physics-based and deep learning models for prognostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 107961-107961
Open Access | Times Cited: 246
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
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit
Mo Yu, Qianhui Wu, Xiu Li, et al.
Journal of Intelligent Manufacturing (2021) Vol. 32, Iss. 7, pp. 1997-2006
Closed Access | Times Cited: 183
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
Lu Liu, Xiao Song, Zhetao Zhou
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108330-108330
Closed Access | Times Cited: 158
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence
Xiao Han, Zili Wang, Min Xie, et al.
Reliability Engineering & System Safety (2021) Vol. 210, pp. 107560-107560
Closed Access | Times Cited: 133
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion
Junqiang Liu, Lei Fan, Pan Chunlu, et al.
Reliability Engineering & System Safety (2021) Vol. 214, pp. 107807-107807
Closed Access | Times Cited: 105
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
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
Variational encoding approach for interpretable assessment of remaining useful life estimation
Nahuel Costa, Luciano Sánchez
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108353-108353
Open Access | Times Cited: 79
Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 72
State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing
Anil Kumar, Chander Parkash, Govind Vashishtha, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108356-108356
Closed Access | Times Cited: 71
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines
Tongyang Pan, Jinglong Chen, Zhi‐Sheng Ye, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108610-108610
Closed Access | Times Cited: 71
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems
Ramin Moradi, Sergio Cofre-Martel, Enrique López Droguett, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108433-108433
Closed Access | Times Cited: 68
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
Trend-augmented and temporal-featured Transformer network with multi-sensor signals for remaining useful life prediction
Yuru Zhang, Chun Su, Jiajun Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109662-109662
Closed Access | Times Cited: 45
A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection
Yuhang Duan, Honghui Li, Mengqi He, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 10905-10914
Closed Access | Times Cited: 99
LSTM networks based on attention ordered neurons for gear remaining life prediction
Sheng Xiang, Yi Qin, Caichao Zhu, et al.
ISA Transactions (2020) Vol. 106, pp. 343-354
Closed Access | Times Cited: 84
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
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method
Tao Hu, Yiming Guo, Liudong Gu, et al.
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108265-108265
Closed Access | Times Cited: 77
Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review
Bin He, Long Liu, Dong Zhang
Journal of Computing and Information Science in Engineering (2021) Vol. 21, Iss. 3
Closed Access | Times Cited: 66
A nonlinear-drift-driven Wiener process model for remaining useful life estimation considering three sources of variability
Wennian Yu, Wenbing Tu, Il Yong Kim, et al.
Reliability Engineering & System Safety (2021) Vol. 212, pp. 107631-107631
Closed Access | Times Cited: 65
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder
Ana González, Ignacio Díaz, Abel A. Cuadrado, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108482-108482
Open Access | Times Cited: 65
A long short-term memory neural network based Wiener process model for remaining useful life prediction
Xiaowu Chen, Zhen Liu
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108651-108651
Closed Access | Times Cited: 65
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
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