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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:

Rolling Bearing Compound Fault Diagnosis Based on Parameter Optimization MCKD and Convolutional Neural Network
Shuzhi Gao, Shuo Shi, Yimin Zhang
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-8
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30
FTGAN: A Novel GAN-Based Data Augmentation Method Coupled Time–Frequency Domain for Imbalanced Bearing Fault Diagnosis
Haoyu Wang, Peng Li, Xun Lang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 30
Multi-scale residual neural network with enhanced gated recurrent unit for fault diagnosis of rolling bearing
Weiqing Liao, Wenlong Fu, Ke Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056114-056114
Closed Access | Times Cited: 11
A label information vector generative zero-shot model for the diagnosis of compound faults
Juan Xu, Kang Li, Yuqi Fan, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120875-120875
Closed Access | Times Cited: 17
A Decision Fusion SWT-RF Method for Rolling Bearing Enhanced Diagnosis Under Low-Quality Data
Jiayu Chen, Cuiying Lin, Qinhua Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach
Muhammad Zain Yousaf, Josep M. Guerrero, Muhammad Tariq Sadiq
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110597-110597
Closed Access
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
Feature Entropy Recognition Based on Dual-Channel-Multi-Scale 1DCNN Model for Intelligent Compound Fault Diagnosis of Bearings
Chunlin Li, Qintai Hu, Jianbin Xiong, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-14
Closed Access
Rolling Bearing Fault Diagnosis Based on Wavelet Overlapping Group Shrinkage and Extended Envelope Hierarchical Multiscale-Weighted Permutation Entropy
Runfang Hao, Yingjie Bai, Kun Yang, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 278-278
Open Access
Enhancing bearing fault diagnosis using motor current signals: A novel approach combining time shifting and CausalConvNets
Bokai Guan, Xiaohua Bao, Haotian Qiu, et al.
Measurement (2023) Vol. 226, pp. 114049-114049
Closed Access | Times Cited: 10
A Novel Rolling Bearing Fault Diagnosis Method Based on BLS and CNN with Attention Mechanism
Xiaojia Wang, Hua Tong, Sheng Xu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 279-279
Open Access | Times Cited: 9
Detection of Simultaneous Bearing Faults Fusing Cross Correlation With Multikernel SVM
Anadi Biswas, Susanta Ray, Debangshu Dey, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14418-14427
Closed Access | Times Cited: 9
Multidomain Kernel Dictionary Learning Sparse Classification Method for Intelligent Machinery Fault Diagnosis
Zhengyu Du, Dongdong Liu, Lingli Cui
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29384-29393
Closed Access | Times Cited: 9
A novel multi-scale convolutional neural network incorporating multiple attention mechanisms for bearing fault diagnosis
Baoquan Hu, Jun Liu, Yue Xu
Measurement (2024) Vol. 242, pp. 115927-115927
Closed Access | Times Cited: 3
A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion
Guangxing Niu, Enhui Liu, Xuan Wang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 864-872
Closed Access | Times Cited: 8
A Partial-Label U-Net Learning Method for Compound-Fault Diagnosis With Fault- Sample Class Imbalance
Jingfei Zhang, Xiao He
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1798-1807
Closed Access | Times Cited: 7
Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network
Qiushi Wang, Zhicheng Sun, Yueming Zhu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 11, pp. 19963-19982
Open Access | Times Cited: 7
Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm
Min Wan, Yujie Xiao, Jingran Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open Access | Times Cited: 2
Rotating machinery fault diagnosis based on one-dimensional convolutional neural network and modified multi-scale graph convolutional network under limited labeled data
Xiangqu Xiao, Chaoshun Li, Jie Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109129-109129
Closed Access | Times Cited: 2
Multitask Learning Based Collaborative Modeling of Heterogeneous Data for Compound Fault Diagnosis in Manufacturing Processes
Liang Ma, Pingping Yang, Kaixiang Peng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 12, pp. 14174-14183
Closed Access | Times Cited: 2
Application of IPSO-MCKD-IVMD-CAF in the compound fault diagnosis of rolling bearing
Jun Zhou, Shi-Shuai Wu, Tao Liu, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035113-035113
Closed Access | Times Cited: 11
Fault diagnosis of gas turbine generator bearings using enhanced valuable sample strategy and convolutional neural network
Xiaozhuo Xu, Zhiyuan Li, Yunji Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015021-015021
Closed Access | Times Cited: 6
A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion
Changfu He, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025113-025113
Closed Access | Times Cited: 10
Bearing fault diagnosis method based on comprehensive information divergence and improved BP-AdaBoost algorithm
Chencheng Zhao, Haiying Liang, Yue Shan, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3047-3064
Closed Access | Times Cited: 5
Multiple faults separation and identification of rolling bearings based on time-frequency spectrogram
Ming Lv, Changfeng Yan, Jianxiong Kang, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2040-2067
Closed Access | Times Cited: 5
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