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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.

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Showing 1-25 of 52 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 287
Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations
Kai Zhou, Edward Diehl, Jiong Tang
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109772-109772
Open Access | Times Cited: 106
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: 89
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
A CNN-BiLSTM-Attention approach for EHA degradation prediction based on time-series generative adversarial network
Zhonghai Ma, Yiwen Sun, Hui Ji, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111443-111443
Closed Access | Times Cited: 19
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 30
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
Research on Parameter Identification and Fault Prediction Method of Hydraulic System in Intelligent Sensing Agriculture
Wenbo Liu, Zheng Jia-heng, Guangyu Shi, et al.
Measurement Sensors (2025), pp. 101813-101813
Open Access | Times Cited: 1
Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
Yuchen Liang, Yuqi Wang, Weidong Li, et al.
Computers in Industry (2025) Vol. 167, pp. 104262-104262
Closed Access | Times Cited: 1
Intelligent approach for the industrialization of deep learning solutions applied to fault detection
Ivo Perez Colo, Carolina Saavedra Sueldo, Mariano De Paula, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120959-120959
Closed Access | Times Cited: 17
Enhancing Rolling Bearing Fault Diagnosis in Motors using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification
Chang Yong, Guangqing Bao
IEEE Access (2024) Vol. 12, pp. 78463-78479
Open Access | Times Cited: 7
Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure
Demi Ai, Rui Zhang
Engineering Structures (2023) Vol. 296, pp. 116891-116891
Closed Access | Times Cited: 15
An imbalanced data learning approach for tool wear monitoring based on data augmentation
Bowen Zhang, Xianli Liu, Caixu Yue, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 13
Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis
Xuepeng Zhang, Xiaogang Deng, Yuping Cao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111404-111404
Closed Access | Times Cited: 5
Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating Machinery
Haitao Wang, Xiyang Dai, Lichen Shi, et al.
IEEE Access (2024) Vol. 12, pp. 34785-34799
Open Access | Times Cited: 5
Cross-domain fault diagnosis of induction motor based on an improved unsupervised generative adversarial network and fine-tuning under limited labeled data
Xin Chen, Zaigang Chen
Measurement (2025), pp. 116988-116988
Closed Access
Research of turbine rotor fault diagnosis based on improved auxiliary classification generative adversarial network
Qinglei Zhang, Xinwei Lian, Jiyun Qin, et al.
Measurement (2025), pp. 116991-116991
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
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
A semi-supervised fault diagnosis method for ventilation fan using multi-head attention-enhanced generative adversarial network
Ruoning Xu, Kai Chang, Yudong Xia, et al.
Journal of Vibration and Control (2025)
Closed Access
Black-box adversarial examples via frequency distortion against fault diagnosis systems
Sangho Lee, Hoki Kim, Woojin Lee, et al.
Applied Soft Computing (2025), pp. 112828-112828
Closed Access
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
A Cost-Sensitive Multi-scale Feature Multi-order Fusion Network for Bearing Fault Diagnosis Under Data Imbalance Conditions
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
Lecture notes in electrical engineering (2025), pp. 94-106
Closed Access
Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method
Hoki Kim, Sangho Lee, Jaewook Lee, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 130, pp. 107980-107980
Closed Access | Times Cited: 3
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