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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:

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102027-102027
Closed Access | Times Cited: 98

Showing 1-25 of 98 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: 32
A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mingzhe Mu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111950-111950
Closed Access | Times Cited: 31
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
Wenxin Yang, Hanyuan Zhang, Jit Bing Lim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109218-109218
Closed Access | Times Cited: 17
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
A lightweight progressive joint transfer ensemble network inspired by the Markov process for imbalanced mechanical fault diagnosis
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111994-111994
Closed Access | Times Cited: 15
Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
Chao Zhao, Weiming Shen
Advanced Engineering Informatics (2023) Vol. 59, pp. 102262-102262
Closed Access | Times Cited: 32
An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples
Yutong Dong, Hongkai Jiang, Xin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110404-110404
Closed Access | Times Cited: 13
IMWMOTE: A novel oversampling technique for fault diagnosis in heterogeneous imbalanced data
Jiaxin Wang, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123987-123987
Closed Access | Times Cited: 10
Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125171-125171
Closed Access | Times Cited: 10
A novel global modelling strategy integrated dynamic kernel canonical variate analysis for the air handling unit fault detection via considering the two-directional dynamics
Hanyuan Zhang, Yuyu Zhang, Huanhuan Meng, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110402-110402
Closed Access | Times Cited: 9
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data
Yanzhuo Lin, Yu Wang, Mingquan Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102471-102471
Closed Access | Times Cited: 8
A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mu Mingzhe, et al.
Reliability Engineering & System Safety (2024), pp. 110662-110662
Closed Access | Times Cited: 7
Autoregressive data generation method based on wavelet packet transform and cascaded stochastic quantization for bearing fault diagnosis under unbalanced samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109402-109402
Closed Access | Times Cited: 6
Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis
Ruijia Lu, Shuzhi Liu, Zisu Gong, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1758-1758
Open Access | Times Cited: 5
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
Zongkai Liu, Ke Zhao, Haidong Shao, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124094-124094
Closed Access | Times Cited: 5
Digital twin-assisted AI framework based on domain adaptation for bearing defect diagnosis in the centrifugal pump
Anil Kumar, Rajesh Kumar, Jiawei Xiang, et al.
Measurement (2024) Vol. 235, pp. 115013-115013
Closed Access | Times Cited: 5
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
Transparent information fusion network: An explainable network for multi-source bearing fault diagnosis via self-organized neural-symbolic nodes
Qi Li, Lichang Qin, Haifeng Xu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103156-103156
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Robust correlation measures for informative frequency band selection in heavy-tailed signals
Justyna Hebda-Sobkowicz, Radosław Zimroz, Anil Kumar, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103174-103174
Closed Access
Multi-agent deep reinforcement learning-based robotic arm assembly research
Guohua Cao, Jimeng Bai
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0311550-e0311550
Open Access
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