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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:

A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis
Yuqiang Wang, Yong-Ping Zhao
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106486-106486
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
Yutong Dong, Hongkai Jiang, Wenxin Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108098-108098
Closed Access | Times Cited: 34
ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102610-102610
Closed Access | Times Cited: 10
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 | Times Cited: 1
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines
Bing Li, Shao-Kai Xue, Yu-Hui Fu, et al.
Aerospace Science and Technology (2024) Vol. 146, pp. 108970-108970
Closed Access | Times Cited: 7
A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data
Guofa Li, Shaoyang Liu, Jialong He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108948-108948
Closed Access | Times Cited: 6
Power transformer fault diagnosis based on a self-strengthening offline pre-training model
Mingwei Zhong, Siqi Yi, Jingmin Fan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107142-107142
Closed Access | Times Cited: 13
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Fatemeh Negar Irani, Mohammadjavad Soleimani, Meysam Yadegar, et al.
Applied Energy (2024) Vol. 365, pp. 123256-123256
Closed Access | Times Cited: 5
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion
Sheng Li, Ke Feng, Yadong Xu, et al.
Information Fusion (2024) Vol. 110, pp. 102453-102453
Closed Access | Times Cited: 5
Fault diagnosis based on residual–knowledge–data jointly driven method for chillers
Zhanwei Wang, Boyang Liang, Jingjing Guo, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106768-106768
Closed Access | Times Cited: 12
Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing
Anil Kumar, Chander Parkash, Yuqing Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108575-108575
Closed Access | Times Cited: 4
An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference
Kai Huang, Linbo Zhu, Zhijun Ren, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 383-383
Open Access | Times Cited: 4
Helicopters Turboshaft Engines Neural Network Modeling under Sensor Failure
Serhii Vladov, Anatoliy Sachenko, Валерій Сокуренко, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 66-66
Open Access | Times Cited: 4
Aero-engines life cycle state assessment framework based on twin model mismatch
Junqi Luan, Shuying Li, Yunpeng Cao
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112298-112298
Closed Access
Non-parametric semi-supervised chiller fault diagnosis via variational compressor under severe few labeled samples
Huazheng Han, Xuejin Gao, Huayun Han, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110233-110233
Closed Access
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
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Wenchao Jia, Aijun An, Bin Gong, et al.
Expert Systems with Applications (2025), pp. 127267-127267
Closed Access
Attention-Based Multi-Modal Learning for Aircraft Engine Fan Fault Diagnosis
Jingjing Zhu, Shaosen Liang, Zhaokai Ma, et al.
Aerospace Science and Technology (2025), pp. 110194-110194
Closed Access
Dual Attention Smoothing Adaptation Networks for Aeroengine Multisource Cross-Domain Fault Diagnosis under Category Shift
Yuqiang Wang, Yong-Ping Zhao
Journal of Aerospace Engineering (2025) Vol. 38, Iss. 4
Closed Access
Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions
Huadong Shi, Siyan Cao, Hongfu Zuo, et al.
Measurement (2024) Vol. 241, pp. 115668-115668
Closed Access | Times Cited: 3
HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112142-112142
Closed Access | Times Cited: 2
Gas Path Fault Diagnosis of Turboshaft Engine Based on Novel Transfer Learning Methods
Yong-Ping Zhao, Hui-Jie Jin, Hao Liu
Journal of Dynamic Systems Measurement and Control (2024) Vol. 146, Iss. 3
Closed Access | Times Cited: 1
Digital Twin assisted Multi-View Reconstruction enhanced Domain Adaptation Graph Networks for Aero-engine Gas Path Fault Diagnosis
Changyi Xu, Xuecheng Gui, Ying Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21694-21705
Closed Access | Times Cited: 1
Multi-objective optimal deep deconvolution and its application to early fault signal enhancement of rotating machineries
Jiakai Ding, Yi Wang, Yi Qin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111722-111722
Closed Access | Times Cited: 1
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals
Fei Wu, Zhuohang Xiang, Dengyu Xiao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109550-109550
Closed Access
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