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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:

Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition
Dandan Peng, Huan Wang, Zhiliang Liu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 16, Iss. 7, pp. 4949-4960
Closed Access | Times Cited: 229

Showing 1-25 of 229 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: 283
Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
ISA Transactions (2021) Vol. 128, pp. 470-484
Closed Access | Times Cited: 147
Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery
Anil Kumar, Govind Vashishtha, C.P. Gandhi, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 136
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110314-110314
Closed Access | Times Cited: 89
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105794-105794
Closed Access | Times Cited: 82
Dual-Path Mixed-Domain Residual Threshold Networks for Bearing Fault Diagnosis
Yongyi Chen, Dan Zhang, Hui Zhang, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 69, Iss. 12, pp. 13462-13472
Closed Access | Times Cited: 80
Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad Taghi Hamidi Beheshti, et al.
Neurocomputing (2022) Vol. 517, pp. 44-61
Open Access | Times Cited: 77
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108618-108618
Closed Access | Times Cited: 74
TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis
Qian Chen, Xingjian Dong, Guowei Tu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110952-110952
Open Access | Times Cited: 57
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 47
A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 73-84
Closed Access | Times Cited: 40
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
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 17
Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings
Zhiliang Liu, Huan Wang, Junjie Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 106
Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4757-4769
Closed Access | Times Cited: 95
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition
Wenlei Zhao, Zhijian Wang, Wenan Cai, et al.
Measurement (2021) Vol. 188, pp. 110511-110511
Closed Access | Times Cited: 82
Fault Detection of the Harmonic Reducer Based on CNN-LSTM With a Novel Denoising Algorithm
Zhuo Zhi, Liansheng Liu, Datong Liu, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 3, pp. 2572-2581
Closed Access | Times Cited: 71
Multireceptive Field Denoising Residual Convolutional Networks for Fault Diagnosis
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 11, pp. 11686-11696
Closed Access | Times Cited: 65
Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network With Residual Connection
Haopeng Liang, Xiaoqiang Zhao
IEEE Access (2021) Vol. 9, pp. 31078-31091
Open Access | Times Cited: 63
Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings
Haoran Han, Huan Wang, Zhiliang Liu, et al.
ISA Transactions (2021) Vol. 122, pp. 13-23
Closed Access | Times Cited: 60
Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis
Yasong Li, Zheng Zhou, Chuang Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6180-6193
Closed Access | Times Cited: 60
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
Huan Wang, Zhiliang Liu, Yipei Ge, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107978-107978
Closed Access | Times Cited: 56
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