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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:

Self‐supervised domain adaptation for cross‐domain fault diagnosis
Weikai Lu, Haoyi Fan, Kun Zeng, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 12, pp. 10903-10923
Closed Access | Times Cited: 12

Showing 12 citing articles:

Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding
Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, et al.
IEEE Access (2024) Vol. 12, pp. 65555-65569
Open Access | Times Cited: 9
A multi-scale graph-guided dynamic enhanced alignment network for mechanical fault diagnosis considering domain shift and data imbalance
Xiaoxuan Fan, Lixiang Duan, Na Zhang
Neurocomputing (2025), pp. 129546-129546
Closed Access
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
Self-supervised knowledge mining from unlabeled data for bearing fault diagnosis under limited annotations
Depeng Kong, Libo Zhao, Xiaoyan Huang, et al.
Measurement (2023) Vol. 220, pp. 113387-113387
Closed Access | Times Cited: 8
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai, Gaëtan Frusque, Tianfu Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107202-107202
Open Access | Times Cited: 7
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109268-109268
Closed Access | Times Cited: 2
CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis
Ruidong Wang, Fengbin Zhang, Xunhua Huang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 461-470
Closed Access | Times Cited: 5
Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery
Yijiao Liu, Mingying Huo, Q. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Intelligent Fault Diagnosis of Bearings in Unsupervised Dynamic Domain Adaptation Networks Under Variable Conditions
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
IEEE Access (2024) Vol. 12, pp. 82911-82925
Open Access
A Data and Knowledge Fusion‐Driven Early Fault Warning Method for Traction Control Systems
Nanliang Shan, Xinghua Xu, Xianqiang Bao, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Unsupervised Time Series Anomaly Detection Based on Adversarial Interpolation and Pseudo-anomaly Calibration
Xinwei Chen, Xiaohui Lin, Zuoyong Li, et al.
(2023), pp. 91-95
Closed Access
Unsupervised Time Series Anomaly Detection under Data Contamination
Xiaohui Lin, Zuoyong Li, Xunhua Huang, et al.
(2022), pp. 247-251
Closed Access
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