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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:

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

Showing 1-25 of 82 citing articles:

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
Yifei Ding, Minping Jia, Jichao Zhuang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108890-108890
Closed Access | Times Cited: 125
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
A systematic review of data-driven approaches to fault diagnosis and early warning
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3277-3304
Closed Access | Times Cited: 87
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
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109950-109950
Closed Access | Times Cited: 51
Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis
Yutong Dong, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109253-109253
Closed Access | Times Cited: 43
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions
Jichao Zhuang, Minping Jia, Xiaoli Zhao
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108599-108599
Closed Access | Times Cited: 57
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 49
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
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Chu Wang, Manfeng Dou, Zhongliang Li, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109123-109123
Open Access | Times Cited: 38
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction
Song Fu, Lin Lin, Yue Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109696-109696
Closed Access | Times Cited: 36
Multitask learning of health state assessment and remaining useful life prediction for sensor-equipped machines
Jianhai Yan, Zhen He, Shuguang He
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109141-109141
Closed Access | Times Cited: 34
Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns
Jiawei Xiong, Jian Zhou, Yizhong Ma, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109244-109244
Closed Access | Times Cited: 32
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109163-109163
Closed Access | Times Cited: 21
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning
Jichao Zhuang, Minping Jia, Yifei Ding, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 4675-4685
Closed Access | Times Cited: 33
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 32
Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift
Zhiyao Zhang, Xiaohong Chen, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109350-109350
Closed Access | Times Cited: 20
Machinery cross domain degradation prognostics considering compound domain shifts
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16
Differential contrast guidance for aeroengine fault diagnosis with limited data
Wenhui He, Lin Lin, Song Fu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110021-110021
Closed Access | Times Cited: 6
Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation
Aniket Vatsa, Ananda Shankar Hati, Prashant Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time–frequency filtering
Rui Liu, Xiaoxi Ding, Yimin Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102421-102421
Closed Access | Times Cited: 5
Digital twin-assisted AI framework based on domain adaptation for bearing defect diagnosis in the centrifugal pump
Anil Kumar, Rajesh Kumar, Jiawei Xiang, et al.
Measurement (2024) Vol. 235, pp. 115013-115013
Closed Access | Times Cited: 5
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