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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:

Instance Weighting-Based Partial Domain Adaptation for Intelligent Fault Diagnosis of Rotating Machinery
Yuqing Li, Yunjia Dong, Minqiang Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 11

Showing 11 citing articles:

Weighted class-aware matching adaptation network for aero-engine imbalanced multi-source cross-domain fault diagnosis under class shift
Yuqiang Wang, Yong-Ping Zhao, Bo Liang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110510-110510
Closed Access
Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines
Xuefang Xu, Xu Yang, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
UDA-ROT: A cross-domain fault diagnosis method for large-scale systems
Shaocong Zeng, Xin Cheng, Shuai Tan, et al.
Control Engineering Practice (2025) Vol. 157, pp. 106268-106268
Closed Access
Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis
Shugang Li, Renhu Bu, Shuang Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Weighted Domain Adaptation Using the Graph-Structured Dataset Representation for Machinery Fault Diagnosis under Varying Operating Conditions
Junhyuk Choi, D.I. Kong, Hyunbo Cho
Sensors (2023) Vol. 24, Iss. 1, pp. 188-188
Open Access | Times Cited: 3
Joint Category Compactness and Disturbance Reduction for Cross-Domain Classification
Lin Jiang, Jigang Wu, Shuping Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Universal domain adaptation for machinery fault diagnosis based on multi‐scale dual attention network and entropy‐based clustering
Chun‐Yao Lee, Guang‐Lin Zhuo
IET Science Measurement & Technology (2024) Vol. 18, Iss. 9, pp. 522-533
Open Access
Piston aero-engine fault cross-domain diagnosis based on unpaired generative transfer learning
Pengfei Shen, Fengrong Bi, Xiaoyang Bi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109159-109159
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Multi-feature fusion-based TCA-WKNN cross-sensor fault diagnosis method for dynamic weighing
Wei Liang, Zhixiong Chen, Jianhua Zhong, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015132-015132
Closed Access | Times Cited: 1
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