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:

Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning
Yibin Li, Yan Song, Lei Jia, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2833-2841
Closed Access | Times Cited: 295

Showing 51-75 of 295 citing articles:

Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition
Weigang Cui, Yansong Xiang, Yifan Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 2917-2930
Closed Access | Times Cited: 6

Communications Security in Industry X: A Survey
Ijaz Ahmad, Felipe Rodríguez, Tanesh Kumar, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 982-1025
Open Access | Times Cited: 5

Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift
Yong Feng, Jinglong Chen, Shuilong He, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 6, pp. 3082-3096
Closed Access | Times Cited: 38

Novel Three-Stage Feature Fusion Method of Multimodal Data for Bearing Fault Diagnosis
Daichao Wang, Yibin Li, Lei Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 34

Transfer-learning-based bearing fault diagnosis between different machines: A multi-level adaptation network based on layered decoding and attention mechanism
Shaoke Wan, Jinyu Liu, Xiaohu Li, et al.
Measurement (2022) Vol. 203, pp. 111996-111996
Closed Access | Times Cited: 26

A Service Pricing-based Two-Stage Incentive Algorithm for Socially Aware Networks
Zenggang Xiong, Xiang Li, Xueming Zhang, et al.
Journal of Signal Processing Systems (2022) Vol. 94, Iss. 11, pp. 1227-1242
Closed Access | Times Cited: 25

On statistic alignment for domain adaptation in structural health monitoring
Jack Poole, Paul Gardner, Nikolaos Dervilis, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1581-1600
Open Access | Times Cited: 25

Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application
Zhiwen Chen, Haobin Ke, Jiamin Xu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7790-7800
Closed Access | Times Cited: 25

A parallel ensemble optimization and transfer learning based intelligent fault diagnosis framework for bearings
Guiting Tang, Cai Yi, Lei Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107407-107407
Closed Access | Times Cited: 13

Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions
Seung-Yun Lee, Sungjong Kim, Su J. Kim, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124084-124084
Closed Access | Times Cited: 5

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

Unsupervised domain adversarial network for few-sample fault detection in industrial processes
Ruiyi Fang, Kai Wang, Jing Li, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102684-102684
Closed Access | Times Cited: 5

Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4

A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry
Linjin Sun, Yangjian Ji, Qixuan Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102438-102438
Closed Access | Times Cited: 4

A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4

Mutitask Learning Network for Partial Discharge Condition Assessment in Gas-Insulated Switchgear
Yanxin Wang, Jing Yan, Wenjie Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11998-12009
Closed Access | Times Cited: 4

Time- and frequency-domain fusion for source-free adaptation fault diagnosis
Yu Gao, Z. Zhang, Bingquan Chen, et al.
Information Fusion (2025), pp. 102875-102875
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

Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems
Ruiyi Fang, Kai Wang, Xiaofeng Yuan, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110242-110242
Closed Access

A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training
Dan Yang, Tianyu Ma, Zhipeng Li
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036123-036123
Closed Access

Dynamic Domain Adaptive Ensemble for Intelligent Fault Diagnosis of Machinery
Kui Hu, Qingbo He, Hao Xu, et al.
Knowledge-Based Systems (2025), pp. 113209-113209
Closed Access

Fault diagnosis of photovoltaic arrays with different degradation levels based on cross-domain adaptive generative adversarial network
Peijie Lin, Feng Guo, Yaohai Lin, et al.
Applied Energy (2025) Vol. 386, pp. 125578-125578
Closed Access

Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis
Jinyang Jiao, Jing Lin, Ming Zhao, et al.
Neural Networks (2021) Vol. 145, pp. 331-341
Closed Access | Times Cited: 28

An Analytical Model of Page Dissemination for Efficient Big Data Transmission of C-ITS
Lina Yang, Zenggang Xiong, Gang Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 16524-16533
Closed Access | Times Cited: 28

ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems
Xingshuo Han, Yuan Zhou, Kangjie Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 1039-1051
Closed Access | Times Cited: 20

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