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 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: 5

Showing 5 citing articles:

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

A Global Attention based Gated Temporal Convolutional Network for Machine Remaining Useful Life Prediction
Xinyao Xu, Zhou Xiaolei, Qiang Fan, et al.
Reliability Engineering & System Safety (2025), pp. 110997-110997
Closed Access

Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment
Jianghong Zhou, Junyu Qi, Dingliang Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31947-31958
Closed Access | Times Cited: 2

A systematic overview of health indicator construction methods for rotating machinery
Jianghong Zhou, Jiahong Yang, Yi Qin
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109356-109356
Closed Access | Times Cited: 2

Patch ModernTCN-Mixer: a dual-task temporal convolutional network framework for hybrid implementation of first prediction time detection and remaining useful life prognosis
Dechen Yao, Bo Tang, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116011-116011
Closed Access | Times Cited: 1

A self-supervised learning method for fault detection of wind turbines
Shaodan Zhi, Haikuo Shen
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116118-116118
Closed Access

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