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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:

A Review on Prognostics Methods for Engineering Systems
Jian Guo, Zhaojun Li, Meiyan Li
IEEE Transactions on Reliability (2019) Vol. 69, Iss. 3, pp. 1110-1129
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 164
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 146
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
Huixing Meng, Mengyao Geng, Te Han
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109288-109288
Closed Access | Times Cited: 130
Remaining Useful Life Estimation for Prognostics of Lithium-Ion Batteries Based on Recurrent Neural Network
Marcantonio Catelani, Lorenzo Ciani, Romano Fantacci, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 123
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
Lithium battery prognostics and health management for electric vehicle application – A perspective review
Roushan Kumar, Kaushik Das
Sustainable Energy Technologies and Assessments (2024) Vol. 65, pp. 103766-103766
Closed Access | Times Cited: 16
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine
Shun Jia, Bo Ma, Wei Guo, et al.
Journal of Manufacturing Systems (2021) Vol. 61, pp. 773-781
Closed Access | Times Cited: 70
Remaining useful life prediction for multi-phase deteriorating process based on Wiener process
Guobo Liao, Hongpeng Yin, Chén Mĭn, et al.
Reliability Engineering & System Safety (2020) Vol. 207, pp. 107361-107361
Closed Access | Times Cited: 69
Advances in corrosion growth modeling for oil and gas pipelines: A review
Haonan Ma, Weidong Zhang, Yao Wang, et al.
Process Safety and Environmental Protection (2022) Vol. 171, pp. 71-86
Closed Access | Times Cited: 62
A survey of modeling for prognosis and health management of industrial equipment
Yigit Yucesan, Arinan Dourado, Felipe Viana
Advanced Engineering Informatics (2021) Vol. 50, pp. 101404-101404
Closed Access | Times Cited: 59
Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems
Sourajit Behera, Rajiv Misra, Alberto Sillitti
Information Sciences (2021) Vol. 554, pp. 120-144
Closed Access | Times Cited: 56
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
Markel Peñalba, Jose Ignacio Aizpurua, Ander Martinez-Perurena, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112751-112751
Open Access | Times Cited: 40
Feature fusion model based health indicator construction and self-constraint state-space estimator for remaining useful life prediction of bearings in wind turbines
Xilin Li, Wei Teng, Dikang Peng, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109124-109124
Closed Access | Times Cited: 37
Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan
Luca Viale, Alessandro Paolo Daga, Alessandro Fasana, et al.
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110154-110154
Closed Access | Times Cited: 21
A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery
Xiaofei Sun, Kai Zhong, Min Han
Measurement (2020) Vol. 170, pp. 108679-108679
Closed Access | Times Cited: 67
A health performance evaluation method of multirotors under wind turbulence
Zhiyao Zhao, Xiaoyi Wang, Peng Yao, et al.
Nonlinear Dynamics (2020) Vol. 102, Iss. 3, pp. 1701-1715
Closed Access | Times Cited: 53
Two-phase degradation modeling and remaining useful life prediction using nonlinear wiener process
Jingdong Lin, Guobo Liao, Min Chen, et al.
Computers & Industrial Engineering (2021) Vol. 160, pp. 107533-107533
Closed Access | Times Cited: 50
Data-model interactive prognosis for multi-sensor monitored stochastic degrading devices
Tianmei Li, Xiaosheng Si, Hong Pei, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108526-108526
Closed Access | Times Cited: 49
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 554-554
Open Access | Times Cited: 29
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Pablo Calvo-Bascones, Alexandre Voisin, Phuc Do, et al.
Computers in Industry (2022) Vol. 144, pp. 103767-103767
Open Access | Times Cited: 29
Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview
Shuai Fu, Nicolas P. Avdelidis
Sensors (2023) Vol. 23, Iss. 19, pp. 8124-8124
Open Access | Times Cited: 17
Dynamic normalized health indicator construction and Bayesian recurrent state estimation for remaining useful life prediction of high-speed bearings in wind turbine drivetrain
Xilin Li, Wei Teng, Yangyang Zhang, et al.
Measurement (2025) Vol. 246, pp. 116725-116725
Closed Access
Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance
Patrick Klein, Lukas Malburg, Ralph Bergmann
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110152-110152
Closed Access
Systematic review of class imbalance problems in manufacturing
Andrea de Giorgio, Gabriele Cola, Lihui Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 620-644
Closed Access | Times Cited: 15
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm
Chen Lü, Xinyu Zou, Lulu Sun, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103108-103108
Closed Access
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