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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:

A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Dandan Peng, Zhiliang Liu, Huan Wang, et al.
IEEE Access (2018) Vol. 7, pp. 10278-10293
Open Access | Times Cited: 224

Showing 1-25 of 224 citing articles:

Applications of machine learning to machine fault diagnosis: A review and roadmap
Yaguo Lei, Bin Yang, Xinwei Jiang, et al.
Mechanical Systems and Signal Processing (2020) Vol. 138, pp. 106587-106587
Open Access | Times Cited: 1948
A comprehensive review on convolutional neural network in machine fault diagnosis
Jinyang Jiao, Ming Zhao, Jing Lin, et al.
Neurocomputing (2020) Vol. 417, pp. 36-63
Open Access | Times Cited: 403
A systematic review of deep transfer learning for machinery fault diagnosis
Chuan Li, Shaohui Zhang, Qin Yi, et al.
Neurocomputing (2020) Vol. 407, pp. 121-135
Closed Access | Times Cited: 348
A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN
Hui Wang, Jiawen Xu, Ruqiang Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 5, pp. 2377-2389
Closed Access | Times Cited: 235
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
Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
Mohd Syahril Ramadhan Mohd Saufi, Zair Asrar Ahmad, M. Salman Leong, et al.
IEEE Access (2019) Vol. 7, pp. 122644-122662
Open Access | Times Cited: 226
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images
Anurag Choudhary, Tauheed Mian, Shahab Fatima
Measurement (2021) Vol. 176, pp. 109196-109196
Closed Access | Times Cited: 225
Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2019) Vol. 8, pp. 9335-9346
Open Access | Times Cited: 224
A Review on Deep Learning Applications in Prognostics and Health Management
Liangwei Zhang, Jing Lin, Bin Liu, et al.
IEEE Access (2019) Vol. 7, pp. 162415-162438
Open Access | Times Cited: 182
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox
Kai Zhang, Baoping Tang, Lei Deng, et al.
Measurement (2021) Vol. 179, pp. 109491-109491
Closed Access | Times Cited: 144
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
Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
Closed Access | Times Cited: 32
Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2020) Vol. 8, pp. 86510-86519
Open Access | Times Cited: 128
Signal Status Recognition Based on 1DCNN and Its Feature Extraction Mechanism Analysis
Shuzhan Huang, Jian Tang, Juying Dai, et al.
Sensors (2019) Vol. 19, Iss. 9, pp. 2018-2018
Open Access | Times Cited: 106
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
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults
Bin Yang, Songci Xu, Yaguo Lei, et al.
Mechanical Systems and Signal Processing (2021) Vol. 162, pp. 108095-108095
Closed Access | Times Cited: 100
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
Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms
Deqing Huang, Shupan Li, Na Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 90
Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model
K. N. Ravikumar, Akhilesh Kumar Yadav, Hemantha Kumar, et al.
Measurement (2021) Vol. 186, pp. 110099-110099
Closed Access | Times Cited: 85
Data-Driven Feature Extraction for Analog Circuit Fault Diagnosis Using 1-D Convolutional Neural Network
Huahui Yang, Chen Meng, Cheng Wang
IEEE Access (2020) Vol. 8, pp. 18305-18315
Open Access | Times Cited: 84
Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines
Bin Yang, Chi-Guhn Lee, Yaguo Lei, et al.
Mechanical Systems and Signal Processing (2021) Vol. 156, pp. 107618-107618
Closed Access | Times Cited: 77
Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects
Juying Dai, Jian Tang, Shuzhan Huang, et al.
Chinese Journal of Mechanical Engineering (2019) Vol. 32, Iss. 1
Open Access | Times Cited: 75
Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine
Xiaoli Zhao, Minping Jia, Peng Ding, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 25, Iss. 5, pp. 2177-2187
Closed Access | Times Cited: 69
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
Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network
Xiaoyu Yang, Ying Zheng, Yong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 55
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