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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:

Transfer reinforcement learning method with multi-label learning for compound fault recognition
Zisheng Wang, Qing Zhang, Lv Tang, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101818-101818
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network
Zhuyun Chen, Jingyan Xia, Jipu Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102033-102033
Closed Access | Times Cited: 51
A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
Tianyu Gao, Jingli Yang, Qing Tang
Information Fusion (2024) Vol. 106, pp. 102278-102278
Closed Access | Times Cited: 51
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
Systematic Review on Fault Diagnosis on Rolling-Element Bearing
M. Pandiyan, T. Narendiranath Babu
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 9
Multi-label deep transfer learning method for coupling fault diagnosis
Yaqi Xiao, Xuanying Zhou, Haiyin Zhou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111327-111327
Closed Access | Times Cited: 7
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6
Integrated decision-making with adaptive feature weighting adversarial network for multi-target domain compound fault diagnosis of machinery
Xuepeng Zhang, Jinrui Wang, Zongzhen Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102730-102730
Closed Access | Times Cited: 6
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery
Jimeng Li, Wei Wang, Sai Zhong, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124189-124189
Closed Access | Times Cited: 5
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 5
Self-adaptive Single and Simultaneous Fault Diagnosis for Rotating Machinery via Redefined Signal Quality Indicator and Parallel Ensemble Network
Weixiong Jiang, Kaiwei Yu, Jun Wu, et al.
Applied Soft Computing (2025), pp. 112737-112737
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
A deep reinforcement learning control framework for a partially observable system: experimental validation on a rotary flexible link system
V. Joshi Kumar, Vinodh Kumar Elumalai
International Journal of Systems Science (2025), pp. 1-25
Closed Access
Leakage diagnosis of natural gas pipeline based on multi-source heterogeneous information fusion
Xingyuan Miao, Hong Zhao
International Journal of Pressure Vessels and Piping (2024) Vol. 209, pp. 105202-105202
Closed Access | Times Cited: 3
Research on early fault intelligent diagnosis for oil-impregnated cage in space ball bearing
Hui Liao, Pengfei Xie, Sier Deng, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121952-121952
Closed Access | Times Cited: 7
An ensembled multilabel classification method for the short-circuit detection of electrolytic refining
Yusi Dai, Chunhua Yang, Hongqiu Zhu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102919-102919
Closed Access | Times Cited: 1
Electromagnetic signal analysis and recognition of coal and rock properties during the borehole pressure relief process: Simulation and experiment
Lei Si, Yang Liu, Zhongbin Wang, et al.
Measurement (2024) Vol. 242, pp. 116141-116141
Closed Access | Times Cited: 1
Intelligent Early Fault Diagnosis of Space Flywheel Rotor System
H. Liao, Pengfei Xie, Sier Deng, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8198-8198
Open Access | Times Cited: 2
Intelligent control strategy for industrial furnaces based on yield classification prediction using a gray relative correlation-convolutional neural network-multilayer perceptron (GCM) machine learning model
Hua Guo, Shengxiang Deng, Jingbiao Yang
PeerJ Computer Science (2024) Vol. 10, pp. e1836-e1836
Open Access
Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids
Linfei Yin, H. J. Mo
Advanced Engineering Informatics (2024) Vol. 62, pp. 102602-102602
Closed Access
Multi-label decoupling diagnosis for compound faults by improved deep Q-network
Yi Qin, X. Liu, Yongfang Mao
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access
A novel multi-label classification deep learning method for hybrid fault diagnosis in complex industrial processes
Kun Zhou, Yifan Tong, Xiaoran Wei, et al.
Measurement (2024), pp. 115804-115804
Closed Access
Machine Learning Based Mechanical Fault Diagnosis and Detection Methods: A Systematic Review
Yuechuan Xin, Jianuo Zhu, Mingyang Cai, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012004-012004
Closed Access
Multi-Label Zero-Shot Learning for Industrial Fault Diagnosis
Jian Li, Haojin Tang, Dong Tang, et al.
(2023), pp. 1235-1240
Closed Access | Times Cited: 1
Identification of air compressor faults based on ViT and Mel spectrogram
Depeng Guo, Weili Ge, Boyuan Li, et al.
(2023), pp. 246-251
Closed Access
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