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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:

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: 18

Showing 18 citing articles:

A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123225-123225
Closed Access | Times Cited: 28
Multi-source fault data fusion diagnosis method based on hyper-feature space graph collaborative embedding
Xiaoxin Dong, Hua Ding, Dawei Gao, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103092-103092
Closed Access | Times Cited: 2
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: 13
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: 10
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access | Times Cited: 1
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 20
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
Hao Chen, Xianbo Wang, Zhi-Xin Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124256-124256
Closed Access | Times Cited: 4
A multi-scale graph-guided dynamic enhanced alignment network for mechanical fault diagnosis considering domain shift and data imbalance
Xiaoxuan Fan, Lixiang Duan, Na Zhang
Neurocomputing (2025), pp. 129546-129546
Closed Access
A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis
Zhenning Li, Hongkai Jiang, Yutong Dong
Expert Systems with Applications (2025) Vol. 271, pp. 126669-126669
Closed Access
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
Zihao Lei, Shuaiqing Deng, Yu Su, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access
Enhancing adaptive failure risk prognosis for cutting tools in heterogeneous working environments: A comprehensive modeling framework
Zhenggeng Ye, Zhiqiang Cai, Hui Yang, et al.
Expert Systems with Applications (2025), pp. 127527-127527
Closed Access
Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network
Changdong Wang, Xiaofei Liu, Jingli Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103287-103287
Closed Access
Environment adaptive deep reinforcement learning for intelligent fault diagnosis
Xiaofeng Liu, Zheng Zhao, Fan Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110783-110783
Closed Access
Imbalanced multidomain generalization fault diagnosis based on prototype-guided supervised contrastive learning with dynamic temperature modulation
Chuanxia Jian, Yonghe Peng, Guopeng Mo, et al.
Structural Health Monitoring (2025)
Closed Access
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data
Mingkuan Shi, Chuancang Ding, Changqing Shen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102832-102832
Closed Access | Times Cited: 3
A fault diagnosis framework using unlabeled data based on automatic clustering with meta-learning
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109584-109584
Closed Access | Times Cited: 3
A Fault Diagnosis Method for Electric Check Valve Based on ResNet-ELM with Adaptive Focal Loss
Weijia Xiang, Yunru Wu, Peng Cheng, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3426-3426
Open Access | Times Cited: 2
A Novel Method for Bearing Fault Diagnosis Based on Novel Feature Sets with Machine Learning Technique
Asmita R. Mali, P. V. Shinde, Amit Patil, et al.
Journal of Tribology (2024) Vol. 147, Iss. 2
Closed Access
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