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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:

Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis
Huanjie Wang, Xiwei Bai, Sihan Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 18

Showing 18 citing articles:

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis
Jun Wang, He Ren, Changqing Shen, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109879-109879
Closed Access | Times Cited: 41
Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions
He Ren, Jun Wang, Zhongkui Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110579-110579
Closed Access | Times Cited: 27
A reliable feature-assisted contrastive generalization net for intelligent fault diagnosis under unseen machines and working conditions
Zhen Shi, Jinglong Chen, Xinwei Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110011-110011
Closed Access | Times Cited: 32
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis
Qiuyu Song, Xingxing Jiang, Jie Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5403-5416
Closed Access | Times Cited: 5
Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via Time–Frequency Self-Contrastive Learning
Yiming He, Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9692-9701
Closed Access | Times Cited: 5
VIT-GADG: A Generative Domain-Generalized Framework for Chillers Fault Diagnosis Under Unseen Working Conditions
Kexin Jiang, Xuejin Gao, Huihui Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
NTScatNet: An interpretable convolutional neural network for domain generalization diagnosis across different transmission paths
Chao Liu, Xiaolong Ma, Tianyu Han, et al.
Measurement (2022) Vol. 204, pp. 112041-112041
Closed Access | Times Cited: 16
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: 2
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
Xianzhang Zhou, Aohan Li, Guangjie Han
Sensors (2023) Vol. 23, Iss. 17, pp. 7567-7567
Open Access | Times Cited: 5
Perspectives of Transfer Learning on the Diagnosis of Faults in Electrical Machines, Power Electronics, and Drives
Panagiotis A. Traganitis, Elias G. Strangas
(2023)
Closed Access | Times Cited: 2
Multi-source dynamic adaptive domain generalization network for crack detection under unknown temperature environment
J. N. Yang, Zhiqiang Gan, Tiantian Wang, et al.
Measurement (2024) Vol. 240, pp. 115588-115588
Closed Access
Measuring Domain Shift in Vibration Signals to Improve Cross-Domain Diagnosis of Piston Aero Engine Faults
Pengfei Shen, Fengrong Bi, Xiaoyang Bi, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1902-1902
Open 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
Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging
Wingates Voon, Yan Chai Hum, Yee Kai Tee, et al.
Pattern Recognition (2024), pp. 111316-111316
Closed Access
Gradient-Based Domain-Augmented Meta-Learning Single-Domain Generalization for Fault Diagnosis
Chuanxia Jian, Heen Chen, Yinhui Ao, et al.
(2023)
Closed Access
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