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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:

Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei, Naipeng Li, Liang Guo, et al.
Mechanical Systems and Signal Processing (2017) Vol. 104, pp. 799-834
Closed Access | Times Cited: 1844

Showing 51-75 of 1844 citing articles:

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
Huaqing Wang, Li Shi, Liuyang Song, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 6, pp. 2648-2657
Closed Access | Times Cited: 156
Remaining Useful Life Prediction using Deep Learning Approaches: A Review
Youdao Wang, Yifan Zhao, Sri Addepalli
Procedia Manufacturing (2020) Vol. 49, pp. 81-88
Open Access | Times Cited: 154
A BiGRU method for remaining useful life prediction of machinery
Daoming She, Minping Jia
Measurement (2020) Vol. 167, pp. 108277-108277
Closed Access | Times Cited: 150
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107927-107927
Closed Access | Times Cited: 146
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
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing
Cheng‐Geng Huang, Hong‐Zhong Huang, Yan‐Feng Li, et al.
Journal of Manufacturing Systems (2021) Vol. 61, pp. 757-772
Closed Access | Times Cited: 143
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine
Zhiyi He, Haidong Shao, Ziyang Ding, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 1, pp. 845-855
Closed Access | Times Cited: 142
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Neurocomputing (2020) Vol. 407, pp. 24-38
Closed Access | Times Cited: 139
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
Sandaram Buchaiah, Piyush Shakya
Measurement (2021) Vol. 188, pp. 110506-110506
Closed Access | Times Cited: 139
Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery
Xiang Li, Xu Li, Hui Ma
Mechanical Systems and Signal Processing (2020) Vol. 143, pp. 106825-106825
Closed Access | Times Cited: 137
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence
Xiao Han, Zili Wang, Min Xie, et al.
Reliability Engineering & System Safety (2021) Vol. 210, pp. 107560-107560
Closed Access | Times Cited: 133
Intelligent tool wear monitoring and multi-step prediction based on deep learning model
Minghui Cheng, Jiao Li, Pei Yan, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 286-300
Closed Access | Times Cited: 127
Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
Márcia Baptista, Kai Goebel, Elsa Henriques
Artificial Intelligence (2022) Vol. 306, pp. 103667-103667
Open Access | Times Cited: 123
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Yuekai Liu, Liang Guo, Hongli Gao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108068-108068
Closed Access | Times Cited: 115
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
Haoxuan Zhou, Xin Huang, Guangrui Wen, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117297-117297
Closed Access | Times Cited: 107
An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis
Yao Cheng, Shengbo Wang, Bingyan Chen, et al.
Journal of Sound and Vibration (2022) Vol. 523, pp. 116746-116746
Closed Access | Times Cited: 102
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 prognostic driven predictive maintenance framework based on Bayesian deep learning
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
Ingeborg de Pater, Arthur Reijns, Mihaela Mitici
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108341-108341
Open Access | Times Cited: 88
Deep Adversarial Subdomain Adaptation Network for Intelligent Fault Diagnosis
Yanxu Liu, Yu Wang, Tommy W. S. Chow, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 6038-6046
Closed Access | Times Cited: 87
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Qing Ni, Jinchen Ji, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109753-109753
Closed Access | Times Cited: 85
A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics
Jiusi Zhang, Jilun Tian, Minglei Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 78
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Hao Xu, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109340-109340
Closed Access | Times Cited: 76
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74

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