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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:

Remaining useful life prediction for rotating machinery based on dynamic graph and spatial–temporal network
Xiangyu Zeng, Chaoying Yang, Jie Liu, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035102-035102
Closed Access | Times Cited: 11

Showing 11 citing articles:

Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
A two-stage remaining useful life prediction method based on adaptive feature metric and graph spatiotemporal attention rule learning
Shaoyang Liu, Jingfeng Wei, Guofa Li, et al.
Reliability Engineering & System Safety (2025), pp. 110802-110802
Closed Access
Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
Wenjian Lu, Yu Wang, Mingquan Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107350-107350
Closed Access | Times Cited: 14
Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning
Pei Wang, Qianle Zhang, Hai Qu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 157-179
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
Quantitative condition assessment method for rotating machinery using fuzzy neural network
Jiantao Lu, Chenyang Zhang, Rongqing Cui, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086112-086112
Closed Access | Times Cited: 2
Data-model Interactive Health Condition Assessment for Hydropower Unit
Yujie Liu, Jie Liu, Fengyuan Zhang, et al.
Journal of Physics Conference Series (2024) Vol. 2752, Iss. 1, pp. 012020-012020
Open Access | Times Cited: 1
Multi-graph attention fusion graph neural network for remaining useful life prediction of rolling bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106125-106125
Closed Access | Times Cited: 1
Unsupervised graph transfer network with hybrid attention mechanisms for fault diagnosis under variable operating conditions
Zihao Lei, Feiyu Tian, Yu Su, et al.
Reliability Engineering & System Safety (2024), pp. 110684-110684
Closed Access
A Novel Temporal Fusion Channel Network with Multi-Channel Hybrid Attention for the Remaining Useful Life Prediction of Rolling Bearings
Cunsong Wang, Junjie Jiang, Heng Qi, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2762-2762
Open Access
Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities
Ahmed Ayman, Ahmed Onsy, Omneya Attallah, et al.
Measurement (2024), pp. 116589-116589
Open Access
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