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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:

Prior knowledge-based residuals shrinkage prototype networks for cross-domain fault diagnosis
Junwei Hu, Weigang Li, Xiujuan Zheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105011-105011
Closed Access | Times Cited: 10

Showing 10 citing articles:

Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Junwei Hu, Weigang Li, Yong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108970-108970
Closed Access | Times Cited: 13
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis
Junwei Hu, Weigang Li, Ailong Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110958-110958
Closed Access | Times Cited: 19
Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
Zuowei Ping, Dewen Wang, Yong Zhang, et al.
Neurocomputing (2025), pp. 129327-129327
Closed Access
Recent trends and perspectives of artificial intelligence-based machine learning from discovery to manufacturing in biopharmaceutical industry
Ravi Maharjan, Jae‐Chul Lee, Kyeong Lee, et al.
Journal of Pharmaceutical Investigation (2023) Vol. 53, Iss. 6, pp. 803-826
Closed Access | Times Cited: 8
A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5
Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis
Junwei Hu, Yong Zhang, Weigang Li, et al.
Cognitive Computation (2023) Vol. 16, Iss. 2, pp. 534-545
Closed Access | Times Cited: 5
Semi-supervised small-sample gearbox fault diagnosis with privacy protection
Xin He, Yaqiong Duan, Zidong Wang, et al.
Scientia Sinica Technologica (2024)
Open Access | Times Cited: 1
Semi-supervised adaptive anti-noise meta-learning for few-shot industrial gearbox fault diagnosis
Junwei Hu, Chao Xie
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116104-116104
Closed Access | Times Cited: 1
A fine-tuning prototypical network for few-shot cross-domain fault diagnosis
Jianhua Zhong, Kairong Gu, Haifeng Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116124-116124
Closed Access
An Improved Residual Network for Bearing Fault Diagnosis in Strong Noise Background
Zhilei Zhao, Jie Tao, Dalian Yang, et al.
Mechanisms and machine science (2024), pp. 13-22
Closed Access
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