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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:

Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples
Yi Qin, Hongyu Liu, Yongfang Mao
Advanced Engineering Informatics (2024) Vol. 61, pp. 102513-102513
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Prediction of bearing remaining useful life based on a two-stage updated digital twin
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103123-103123
Closed Access | Times Cited: 4
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition
Yadong Xu, Qiubo Jiang, Sheng Li, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110292-110292
Closed Access | Times Cited: 7
Enhanced fault diagnosis of rolling bearings using an improved inception-lstm network
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 6
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104169-104169
Closed Access | Times Cited: 5
CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
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
A transfer learning method: Universal domain adaptation with noisy samples for bearing fault diagnosis
Yi Sun, Hong‐Liang Song, Liang Guo, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103243-103243
Closed Access
A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103079-103079
Closed Access
Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks
Xueyi Li, Xudong Wu, Tianyang Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110410-110410
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Residual Life Prediction of Rolling Bearings Driven by Digital Twins
Jiayi Fan, Lijuan Zhao, Minghao Li
Symmetry (2025) Vol. 17, Iss. 3, pp. 406-406
Open Access
Research on Digital Twin Modeling and Fault Diagnosis Methods for Rolling Bearings
Jiayi Fan, Lijuan Zhao, Minghao Li
Sensors (2025) Vol. 25, Iss. 7, pp. 2023-2023
Open Access
Dynamic embedded spatial–temporal graph construction via virtual nodes for helicopter transmission system fault diagnosis
Guowang Chen, Qian Tang, Jian Lan, et al.
Measurement (2025), pp. 117401-117401
Closed Access
Development and Integration of a Digital Twin Model for a Real Hydroelectric Power Plant
Mustafa Ersan, Erdal Irmak
Sensors (2024) Vol. 24, Iss. 13, pp. 4174-4174
Open Access | Times Cited: 3
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks
Sizhe Liu, XU De-zhi, Yujian Ye, et al.
Information Sciences (2024) Vol. 687, pp. 121399-121399
Closed Access | Times Cited: 3
Rolling bearing performance assessment with degradation twin modeling considering interdependent fault evolution
Tao Li, Huaitao Shi, Xiaotian Bai, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112194-112194
Closed Access | Times Cited: 3
Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network
Zhonghai Ma, Yiwen Sun, Fanglong Yin, et al.
Engineering Failure Analysis (2024) Vol. 165, pp. 108772-108772
Closed Access | Times Cited: 3
A Review of the Intelligent Condition Monitoring of Rolling Element Bearings
Vigneshwar Kannan, Tieling Zhang, Huaizhong Li
Machines (2024) Vol. 12, Iss. 7, pp. 484-484
Open Access | Times Cited: 2
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
Lin Zhu, Jin Wang, Min Chen, et al.
Expert Systems with Applications (2024), pp. 125441-125441
Closed Access | Times Cited: 2
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery
Taehun Kim, Jin Uk Ko, Jinwook Lee, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102821-102821
Closed Access | Times Cited: 2
Semi-supervised adaptive anti-noise meta-learning for few-shot industrial gearbox fault diagnosis
Junwei Hu, Chao Xie
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116104-116104
Closed Access | Times Cited: 1
Encoder signal-based optimized Savitzky-Golay and adaptive spectrum editing for feature extraction of rolling element bearing under low-speed and variable-speed conditions
Xin Chen, Yu Guo, Jing Na
ISA Transactions (2024) Vol. 154, pp. 371-388
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
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: 1
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