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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:

Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis
Saite Fan, Xinmin Zhang, Zhihuan Song
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 4, pp. 2518-2527
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
Non-parallel bounded support matrix machine and its application in roller bearing fault diagnosis
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
Information Sciences (2023) Vol. 624, pp. 395-415
Closed Access | Times Cited: 53
A survey on imbalanced learning: latest research, applications and future directions
Wuxing Chen, Kaixiang Yang, Zhiwen Yu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 47
Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance
Zhijun Ren, Yongsheng Zhu, Zheng Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 40
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102436-102436
Closed Access | Times Cited: 18
Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants
Gensheng Qian, Jingquan Liu
Progress in Nuclear Energy (2022) Vol. 152, pp. 104401-104401
Closed Access | Times Cited: 40
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
Yage Yuan, Jianan Wei, Haisong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106911-106911
Closed Access | Times Cited: 29
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109601-109601
Closed Access | Times Cited: 29
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions
Shuilong He, Qianwen Cui, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111192-111192
Closed Access | Times Cited: 10
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
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis
Ning Zhang, Yuan Xu, Qunxiong Zhu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6284-6294
Closed Access | Times Cited: 31
Imbalanced fault diagnosis based on semi-supervised ensemble learning
Chuanxia Jian, Yinhui Ao
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 7, pp. 3143-3158
Closed Access | Times Cited: 30
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis
Ning Zhang, Yuan Xu, Qunxiong Zhu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10478-10488
Closed Access | Times Cited: 18
Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification
Hong Zhao, Zhengyu Li, Wenwei He, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-22
Open Access | Times Cited: 5
Industrial data-driven modeling for imbalanced fault diagnosis
Kuo‐Yi Lin, Thitipong Jamrus
Industrial Management & Data Systems (2024) Vol. 124, Iss. 11, pp. 3108-3137
Closed Access | Times Cited: 5
Hierarchical model with integrated probabilistic strategy for classifying pig behaviors using active electronic ear tags
Junyong Lin, Runkang Wu, Ling Yin, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109915-109915
Closed Access
Fault diagnosis of batch processes for small samples based on contrastive learning
Jingyun Xu, Zongyu Yao, Qingchao Jiang
The Canadian Journal of Chemical Engineering (2025)
Closed Access
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning
Qin Zhao, Yu Ding, Chen Lü, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121001-121001
Closed Access | Times Cited: 14
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis
Yuangui Yang, Tianfu Li, Chuang Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106927-106927
Closed Access | Times Cited: 13
Reinforcement Learning in Process Industries: Review and Perspective
Oguzhan Dogru, Junyao Xie, Om Prakash, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 283-300
Closed Access | Times Cited: 4
Industrial process fault diagnosis based on domain adaptive broad echo network
Miao Mou, Xiaoqiang Zhao
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 159, pp. 105453-105453
Closed Access | Times Cited: 4
Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis
Pengcheng Zhao, Zhang We, Xiaoshan Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109520-109520
Closed Access | Times Cited: 4
Development of deep reinforcement learning-based fault diagnosis method for actuator faults in unmanned aerial vehicles
Majd Saied, N. Tahan, K. Chreif, et al.
The Aeronautical Journal (2025), pp. 1-17
Closed Access
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