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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:

Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis
Huixin Yang, Xiang Li, Zhang We
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055005-055005
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
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
Bearing Fault Diagnosis With Envelope Analysis and Machine Learning Approaches Using CWRU Dataset
M. Alonso-González, Vicente García‐Díaz, Benjamín López Pérez, et al.
IEEE Access (2023) Vol. 11, pp. 57796-57805
Open Access | Times Cited: 34
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
Huaxiang Pu, Ke Zhang, Yiyao An
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11139-11149
Closed Access | Times Cited: 29
Feature Extraction Based on Hierarchical Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis
Zhixiang Chen, Yang Yang, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 24
Non-negative wavelet matrix factorization-based bearing fault intelligent classification method
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115013-115013
Closed Access | Times Cited: 24
Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network
Hao Wei, Qinghua Zhang, Yu Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 045107-045107
Closed Access | Times Cited: 23
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 10
Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis
Qing Zhang, Xiaohan Wei, Ye Wang, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1831-1831
Open Access | Times Cited: 8
Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055102-055102
Closed Access | Times Cited: 19
Fault diagnosis of rolling bearing based on SEMD and ISSA-KELMC
Yongtao Hu, Enyu Zhao, Jie Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056127-056127
Closed Access | Times Cited: 5
A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training
Dan Yang, Tianyu Ma, Zhipeng Li
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036123-036123
Closed Access
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis
Ke Yue, Jipu Li, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
Optimizing nuclear power plant fault diagnosis through an integrated operational support approach
Yue Yu, De-shui Han, Zeyun Yang, et al.
Progress in Nuclear Energy (2025) Vol. 184, pp. 105722-105722
Closed Access
Rolling bearing fault diagnosis method based on multi-sensor two-stage fusion
Cang Liu, Jinyu Tong, Jinde Zheng, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125105-125105
Closed Access | Times Cited: 19
Analysis of Interpretability and Generalizability for Power Converter Fault Diagnosis Based on Temporal Convolutional Networks
Tongyang Ren, Tao Han, Qun Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 12
A method for rolling bearing fault diagnosis based on GSC-MDRNN with multi-dimensional input
Zheng Wang, Chuanbo Wen, Yifan Dong
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055901-055901
Closed Access | Times Cited: 10
Fault diagnosis method for imbalanced data of rotating machinery based on time domain signal prediction and SC-ResNeSt
Haitao Wang, Yifan Guo, Xiang Liu, et al.
IEEE Access (2023) Vol. 11, pp. 38875-38893
Open Access | Times Cited: 10
Empirical-based DA and ANN to diagnose misalignment in rotor-bearing system
Ganesh L. Suryawanshi, Sachin K. Patil, R. G. Desavale
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 4, pp. 776-801
Closed Access | Times Cited: 10
Improving Accuracy and Interpretability of CNN-Based Fault Diagnosis through an Attention Mechanism
Yubiao Huang, Jiaqing Zhang, Rui Liu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3233-3233
Open Access | Times Cited: 10
Prediction of Solid Rocket Motor Performance Based on Deep Learning and Ignition Experimental Data
Huixin Yang, Xu Wang, Shangshang Zheng, et al.
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 5, pp. 6241-6255
Closed Access | Times Cited: 3
Data-driven deep learning approach for thrust prediction of solid rocket motors
Zhang We, Mingze Xu, Huixin Yang, et al.
Measurement (2023) Vol. 225, pp. 114051-114051
Closed Access | Times Cited: 8
Physics-infused fuzzy generative adversarial network for robust failure prognosis
Ruby H.N. Nguyen, Shubhendu Singh, Rahul Rai
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109611-109611
Open Access | Times Cited: 13
Research on Fault Diagnosis of Rotating Parts Based on Transformer Deep Learning Model
Zilin Zhang, Yaohua Deng, Xiali Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10095-10095
Open Access | Times Cited: 2
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