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:

Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Neural Networks (2024) Vol. 172, pp. 106099-106099
Closed Access | Times Cited: 18

Showing 18 citing articles:

A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 17

Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios
Yu Gao, Jin Qi, Ying Sun, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111506-111506
Closed Access | Times Cited: 6

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis
Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, et al.
Neural Networks (2024) Vol. 178, pp. 106482-106482
Closed Access | Times Cited: 5

Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions
Hongbo Ma, Jiacheng Wei, Guowei Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110439-110439
Closed Access | Times Cited: 5

SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis
Yu Guo, Xiangyu Li, Jundong Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110854-110854
Closed Access

Repetitive transient impact detection and its application in cross-machine fault detection of rolling bearings
Xin Kang, Junsheng Cheng, Yu Yang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112422-112422
Closed Access

Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Hongbo Ma, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112460-112460
Closed Access

Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario
Ning Jia, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103220-103220
Closed Access

Domain generalized open-set intelligent fault diagnosis based on feature disentanglement meta-learning
Xiangdong Zhou, Deng Xiao, Zhengwu Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115001-115001
Closed Access | Times Cited: 3

Innovative integration of multi-scale residual networks and MK-MMD for enhanced feature representation in fault diagnosis
Xueyi Li, Peng Yuan, Kaiyu Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086108-086108
Closed Access | Times Cited: 2

Drill Tools Sticking Prediction Based on Adaptive Long Short-Term Memory
Honglin Wu, Zhongbin Wang, Lei Si, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086134-086134
Closed Access | Times Cited: 2

Multi-domain Class-imbalance Generalization with Fault Relationship-induced Augmentation for Intelligent Fault Diagnosis
Chao Zhao, Enrico Zio, Weiming Shen
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2

Domain generalization for rotating machinery fault diagnosis: A survey
Yiming Xiao, Haidong Shao, Shen Yan, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103063-103063
Closed Access | Times Cited: 1

Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals
Fei Wu, Zhuohang Xiang, Dengyu Xiao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109550-109550
Closed Access

域泛化机械故障诊断研究进程与展望
HaiDong SHAO, YiMing XIAO, Shen YAN, et al.
Scientia Sinica Technologica (2024) Vol. 55, Iss. 1, pp. 14-32
Closed Access

Casual Inference-Enabled Graph Neural Networks for Generalized Fault Diagnosis in Industrial IoT System
Zhao Zhang, Qi Li, Shenbo Liu, et al.
Information Sciences (2024), pp. 121719-121719
Closed Access

Disentangle Representation Learning with Excluding Confounding Bias for causal effect estimation
Dianlong You, Dongyan Wang, Bingxin Liu, et al.
Knowledge-Based Systems (2024), pp. 112926-112926
Closed Access

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