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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:

Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets
Gang Mao, Yongbo Li, Zhiqiang Cai, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106670-106670
Closed Access | Times Cited: 8

Showing 8 citing articles:

A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
Xiongyan Yang, Tianyi Ye, Xianfeng Yuan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7820-7831
Closed Access | Times Cited: 20
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 24
Knowledge Distillation-Guided Cost-Sensitive Ensemble Learning Framework for Imbalanced Fault Diagnosis
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23110-23122
Closed Access | Times Cited: 7
Fault Diagnosis of Semi-Supervised Electromechanical Transmission Systems Under Imbalanced Unlabeled Sample Class Information Screening
Chaoge Wang, Pengpeng Jia, Xinyu Tian, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 175-175
Open Access
An unsupervised domain adaptation method for detecting blades icing for multiple wind turbines
Cheng Wang, Qidong Zhang, Lili Deng
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109396-109396
Closed Access | Times Cited: 3
A hybrid feature selection model for identifying groups of critical elements in aero‐engine assembly
Jiali Cheng, HU Zong-chun, Wenhao Lu, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2178-2195
Closed Access | Times Cited: 1
A Globally Optimized Fault Diagnosis Model Based on Generative Flow Model for Imbalanced Data
Junxiong Li, Wenhua Jiao, Yudou Xiong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016025-016025
Closed Access
A novel imbalance fault diagnosis method based on data augmentation and hybrid deep learning models
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Structural Health Monitoring (2024)
Closed Access
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