
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:
Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor
Wanqing Song, Shouwu Duan, Enrico Zio, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108630-108630
Closed Access | Times Cited: 14
Wanqing Song, Shouwu Duan, Enrico Zio, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108630-108630
Closed Access | Times Cited: 14
Showing 14 citing articles:
An integrated multi-head dual sparse self-attention network for remaining useful life prediction
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109096-109096
Closed Access | Times Cited: 119
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109096-109096
Closed Access | Times Cited: 119
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
Uncertainty-corrected fractional generalized Pareto motion for lithium-ion battery life prediction and value-at-risk-based maintenance framework
Zhen Wang, Jianxue Chen, Yan Gao, et al.
Nonlinear Dynamics (2025)
Closed Access | Times Cited: 1
Zhen Wang, Jianxue Chen, Yan Gao, et al.
Nonlinear Dynamics (2025)
Closed Access | Times Cited: 1
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
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
Remaining useful life prediction via a hybrid DBN-KF-based method: A case of subsea Christmas tree valves
Xiaoyan Shao, Baoping Cai, Yonghong Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109405-109405
Closed Access | Times Cited: 17
Xiaoyan Shao, Baoping Cai, Yonghong Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109405-109405
Closed Access | Times Cited: 17
Multivariable degradation modeling and life prediction using multivariate fractional Brownian motion
Ali Asgari, Wujun Si, Liang Yuan, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110146-110146
Closed Access | Times Cited: 5
Ali Asgari, Wujun Si, Liang Yuan, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110146-110146
Closed Access | Times Cited: 5
On the prediction of power outage length based on linear multifractional Lévy stable motion
Wanqing Song, Wujin Deng, Piercarlo Cattani, et al.
Pattern Recognition Letters (2024) Vol. 181, pp. 120-125
Closed Access | Times Cited: 4
Wanqing Song, Wujin Deng, Piercarlo Cattani, et al.
Pattern Recognition Letters (2024) Vol. 181, pp. 120-125
Closed Access | Times Cited: 4
Remaining useful life prediction for solid-state lithium batteries based on spatial-temporal relations and neuronal ODE-assisted KAN
Zhenxi Wang, Yan Ma, Jinwu Gao, et al.
Reliability Engineering & System Safety (2025), pp. 111003-111003
Closed Access
Zhenxi Wang, Yan Ma, Jinwu Gao, et al.
Reliability Engineering & System Safety (2025), pp. 111003-111003
Closed Access
Neural network-aided simulation of non-Gaussian stochastic processes
Yang Li, Jun Xu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109786-109786
Closed Access | Times Cited: 6
Yang Li, Jun Xu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109786-109786
Closed Access | Times Cited: 6
Gas path deterioration observation based on stochastic dynamics for reliability assessment of aeroengines
Dawen Huang, Dengji Zhou, Xunkai Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109458-109458
Closed Access | Times Cited: 5
Dawen Huang, Dengji Zhou, Xunkai Wei, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109458-109458
Closed Access | Times Cited: 5
Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries
Wujin Deng, Yan Gao, Jianxue Chen, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 646-646
Open Access | Times Cited: 4
Wujin Deng, Yan Gao, Jianxue Chen, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 646-646
Open Access | Times Cited: 4
Multivariate Degradation Modeling Using Generalized Cauchy Process and Application in Life Prediction of Dye-Sensitized Solar Cells
Ali Asgari, Wujun Si, Wei Wei, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110651-110651
Closed Access | Times Cited: 1
Ali Asgari, Wujun Si, Wei Wei, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110651-110651
Closed Access | Times Cited: 1
Bayesian Uncertainty Calibration for Federated Time Series Analysis
Chao Cai, Weide Liu, Xue Xia, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 11151-11163
Closed Access
Chao Cai, Weide Liu, Xue Xia, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 11151-11163
Closed Access
Failure Analysis of a Cracked Gas Compressor
P. Paryanto, Sulardjaka Sulardjaka, Nur Cahyo, et al.
(2023), pp. 191-194
Closed Access
P. Paryanto, Sulardjaka Sulardjaka, Nur Cahyo, et al.
(2023), pp. 191-194
Closed Access