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:

Stochastic Uncertain Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty
Xuerui Cao, Kaixiang Peng
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 13

Showing 13 citing articles:

Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102719-102719
Closed Access | Times Cited: 4

A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends
Yucheng Wang, Min Wu, Dongwei Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112449-112449
Closed Access

Wear and life predictions for bearings considering simulation-to-reality variability
Rui He, Florian König, Yifei Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112498-112498
Closed Access

Applying Neural Network to Health Estimation and Lifetime Prediction of Lithium-ion Batteries
Penghua Li, Xiankui Wu, Radu Grosu, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4224-4248
Closed Access | Times Cited: 3

Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors
Moncef Soualhi, Khanh T.P. Nguyen, Kamal Medjaher
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108186-108186
Closed Access | Times Cited: 2

Remaining Useful Life Prediction Method by Integrating Two-Phase Accelerated Degradation Data and Field Information
Jiajin Wang, Jianwei Wu, Jian Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 2

Multiphase Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty
Xuerui Cao, Kaixiang Peng
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 27757-27770
Closed Access | Times Cited: 4

An Uncertain Random Process-Based Degradation Model for Remaining Useful Life Prediction Considering Triple Uncertainty
Xuerui Cao, Kaixiang Peng
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 9, pp. 4376-4380
Closed Access | Times Cited: 1

A weight-allocation-based ensemble remaining useful life prediction approach for a single device
Zongyao Wang, Wei Shangguan, Baigen Cai, et al.
Measurement (2023) Vol. 224, pp. 113885-113885
Closed Access | Times Cited: 2

Hybrid reliability analysis of structures using fuzzy Bayesian interval estimation
Sheng-En Fang, Jin-Ling Zheng, Si-Rong Wang
Engineering Structures (2024) Vol. 307, pp. 117915-117915
Closed Access

A Predictive Maintenance Strategy for a Single Device Based on Remaining Useful Life Prediction Information: A Case Study on Railway Gyroscope
Zongyao Wang, Wei Shangguan, Cong Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access

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