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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 ensembled remaining useful life prediction method with data fusion and stage division
Yajing Li, Zhijian Wang, Feng Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109804-109804
Closed Access | Times Cited: 23

Showing 23 citing articles:

A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
Remaining useful life prediction based on graph feature attention networks with missing multi-sensor features
Yu Wang, Shangjing Peng, Wang Hong, et al.
Reliability Engineering & System Safety (2025), pp. 110902-110902
Closed Access
DCAGGCN: A novel method for remaining useful life prediction of bearings
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
An unsupervised subdomain adaptation of cross-domain remaining useful life prediction for sensor-equipped equipments
Jianhai Yan, Zhen He, Shuguang He, et al.
Computers & Industrial Engineering (2025), pp. 110967-110967
Closed Access
A nonlinear dynamic ensemble remaining useful life prediction method considering multi-source data uncertainty
Pengwei Jiang, Weibo Ren, Zhongxin Chen, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112607-112607
Closed Access
A remaining useful life prediction framework with adaptive dynamic feedback
Zhijian Wang, Zhuotao Xu, Yan‐Feng Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111595-111595
Closed Access | Times Cited: 4
Benchmark transformation neural network for health indicator construction under time-varying speed and its application in machinery prognostics
Jiahong Yang, Jianghong Zhou, Yi Chai, et al.
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110823-110823
Closed Access
STDM: A new two-stage degradation model for Remaining useful life prediction
Zhuotao Xu, Zhijian Wang, Yanfeng Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112372-112372
Closed Access
Remaining useful life prediction method based on two-phase adaptive drift Wiener process
Zhijian Wang, Pengwei Jiang, Zhongxin Chen, et al.
Reliability Engineering & System Safety (2025), pp. 110908-110908
Closed Access
Knowledge embedded spatial-temporal graph convolutional networks for remaining useful life prediction
Xiao Cai, Dingcheng Zhang, Liangya Pi Liangya Pi, et al.
Reliability Engineering & System Safety (2025), pp. 110928-110928
Closed Access
A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing
Xianhua Chen, Zhigang Tian
Expert Systems with Applications (2025), pp. 127315-127315
Open Access
Prediction Model Optimization of Gas Turbine Remaining Useful Life Based on Transfer Learning and Simultaneous Distillation Pruning Algorithm
Yu Zheng, Liang Chen, Xiangyu Bao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110562-110562
Closed Access | Times Cited: 3
Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction
En Fu, Yanyan Hu, Kaixiang Peng, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110398-110398
Open Access | Times Cited: 3
A knowledge-data integration framework for rolling element bearing RUL prediction across its life cycle
Lei Yang, Tuojian Li, Yue Dong, et al.
ISA Transactions (2024) Vol. 152, pp. 331-357
Closed Access | Times Cited: 2
Remaining Useful Life prediction based on physics-informed data augmentation
Martin Hervé de Beaulieu, Mayank Jha, Hugues Garnier, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110451-110451
Closed Access | Times Cited: 2
Sparse Graph Structure Fusion Convolutional Network for Machinery Remaining Useful Life Prediction
Lingli Cui, Qiang Shen, Yongchang Xiao, et al.
Reliability Engineering & System Safety (2024), pp. 110592-110592
Closed Access | Times Cited: 2
Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System
Shuai Fu, Nicolas P. Avdelidis
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5057-5057
Open Access | Times Cited: 1
A treelike framework combining fault diagnosis and RUL prediction
Senhao Chai, Lei Dong, Weibo Ren, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066108-066108
Closed Access
Design of a Novel Predictive Technique to Estimate Liquid Level and Concentration Using Multi-Sensor Data Fusion
Jayalaxmi Rajesh Hanni, K V Santhosh, N. N. Srinidhi
IEEE Access (2024) Vol. 12, pp. 98787-98802
Open Access
A prognostic model for multi-stage degraded equipment under zero life label combining CDBN and Bayesian bidirectional GRU
Hong Pei, Xiaosheng Si, Zhengxin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102767-102767
Closed Access
An accident severity prediction framework with consider features interaction
Lei Dong, Ruidong Gong, Zhijian Wang, et al.
Proceedings of the Institution of Civil Engineers - Transport (2024), pp. 1-12
Closed Access
An Adaptive Method for Predicting Bearing Remaining Useful Life Across Various Degradation Stages
Ao Sun, Xiaodong Miao, Kun Xu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016154-016154
Closed Access
An Unsupervised Subdomain Adaptation of Cross-Domain Remaining Useful Life Prediction for Sensor-Equipped Equipments
Jianhai Yan, Zhi‐Sheng Ye, Shuguang He, et al.
(2024)
Closed Access
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