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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:

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers
Jun Zhu, Cheng‐Geng Huang, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 11, pp. 8077-8086
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain
Yiming Xiao, Haidong Shao, Song-Yu Han, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5254-5263
Closed Access | Times Cited: 225
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework
Taotao Zhou, Te Han, Enrique López Droguett
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108525-108525
Closed Access | Times Cited: 153
Universal source-free domain adaptation method for cross-domain fault diagnosis of machines
Yongchao Zhang, Zhaohui Ren, Ke Feng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110159-110159
Closed Access | Times Cited: 90
Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Yafei Deng, Jun Lv, Delin Huang, et al.
Neurocomputing (2023) Vol. 548, pp. 126391-126391
Closed Access | Times Cited: 55
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: 46
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
Suiyan Wang, Jiaye Tian, Pengfei Liang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108146-108146
Closed Access | Times Cited: 39
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6356-6368
Closed Access | Times Cited: 15
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions
Jichao Zhuang, Minping Jia, Xiaoli Zhao
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108599-108599
Closed Access | Times Cited: 57
A federated transfer learning method with low-quality knowledge filtering and dynamic model aggregation for rolling bearing fault diagnosis
Ran Wang, Fucheng Yan, Liang Yu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110413-110413
Closed Access | Times Cited: 31
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
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 novel mechanical fault diagnosis for high-voltage circuit breakers with zero-shot learning
Qiuyu Yang, Yuxiang Liao
Expert Systems with Applications (2024) Vol. 245, pp. 123133-123133
Closed Access | Times Cited: 14
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis
Xuefang Xu, Shuo Bao, Pengfei Liang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123124-123124
Closed Access | Times Cited: 10
Domain distribution variation learning via adversarial adaption for helicopter transmission system fault diagnosis
Kuangchi Sun, Aijun Yin, Shiao Lu
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111419-111419
Closed Access | Times Cited: 10
Joint Wasserstein distance matching under conditional probability distribution for cross-domain fault diagnosis of rotating machinery
Ran Wang, Fucheng Yan, Liang Yu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111121-111121
Closed Access | Times Cited: 9
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
Weighted domain separation based open set fault diagnosis
Xingwu Zhang, Yu Zhao, Xiaolei Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109518-109518
Closed Access | Times Cited: 16
Bearing Fault Diagnosis Under Multisensor Fusion Based on Modal Analysis and Graph Attention Network
Ziran Meng, Jun Zhu, Shancheng Cao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 16
SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data
Pengfei Liang, Xiangfeng Wang, Chao Ai, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110563-110563
Closed Access | Times Cited: 6
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network
Cailu Pan, Zhiwu Shang, Lutai Tang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111780-111780
Closed Access | Times Cited: 5
Mitigating overconfidence in unknown sample predictions: A confidence-enhanced one-versus-all network for open-set transfer fault diagnosis
Yang Liu, Yaowei Shi, Minqiang Deng, et al.
Knowledge-Based Systems (2025), pp. 113013-113013
Closed Access
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
A Network Differentiation Service Method Using DA-VNE Algorithm
Lei Li
International Journal of Cognitive Computing in Engineering (2025)
Open Access
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