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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:

Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
Yongbo Li, Xiaoqiang Du, Fangyi Wan, et al.
Chinese Journal of Aeronautics (2019) Vol. 33, Iss. 2, pp. 427-438
Open Access | Times Cited: 164

Showing 1-25 of 164 citing articles:

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Zhibin Zhao, Tianfu Li, Jingyao Wu, et al.
ISA Transactions (2020) Vol. 107, pp. 224-255
Open Access | Times Cited: 426
A review on deep learning in UAV remote sensing
Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102456-102456
Open Access | Times Cited: 327
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
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation
Haidong Shao, Wei Li, Baoping Cai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 9, pp. 9933-9942
Closed Access | Times Cited: 177
Infrared machine vision and infrared thermography with deep learning: A review
Yunze He, Baoyuan Deng, Hongjin Wang, et al.
Infrared Physics & Technology (2021) Vol. 116, pp. 103754-103754
Closed Access | Times Cited: 176
Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images
Xin Li, Haidong Shao, Siliang Lu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 12, pp. 7328-7340
Closed Access | Times Cited: 164
Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine
Mingliang Cui, Youqing Wang, Xinshuang Lin, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 4, pp. 4927-4937
Closed Access | Times Cited: 155
Digital Twin in Aerospace Industry: A Gentle Introduction
Luning Li, Sohaib Aslam, Andrew Wileman, et al.
IEEE Access (2021) Vol. 10, pp. 9543-9562
Open Access | Times Cited: 133
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case
Xin Li, Jian Cheng, Haidong Shao, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5180-5189
Closed Access | Times Cited: 103
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
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
Data Preprocessing Techniques in Convolutional Neural Network Based on Fault Diagnosis Towards Rotating Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2020) Vol. 8, pp. 149487-149496
Open Access | Times Cited: 114
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review
Aneesh G. Nath, Sandeep S. Udmale, Sanjay Kumar Singh
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 2609-2668
Closed Access | Times Cited: 112
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
Zhiyi He, Haidong Shao, Zhong Xiang, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101150-101150
Closed Access | Times Cited: 106
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method
Chengyang Wu, Sitong Xiang, Xiang Wansheng
Journal of Manufacturing Systems (2021) Vol. 59, pp. 67-80
Closed Access | Times Cited: 78
Recent progress of machine learning in flow modeling and active flow control
Yunfei Li, Juntao Chang, Chen Kong, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 4, pp. 14-44
Open Access | Times Cited: 75
Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
Siyu Zhang, Lei Su, Jiefei Gu, et al.
Chinese Journal of Aeronautics (2021) Vol. 36, Iss. 1, pp. 45-74
Open Access | Times Cited: 73
Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds
Xin Li, Haidong Shao, Hongkai Jiang, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 2, pp. 339-353
Closed Access | Times Cited: 66
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
Bianca Caiazzo, Mario Di Nardo, Teresa Murino, et al.
Computers in Industry (2021) Vol. 134, pp. 103548-103548
Closed Access | Times Cited: 64
Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Nondestructive Testing And Evaluation (2022) Vol. 38, Iss. 2, pp. 275-296
Closed Access | Times Cited: 60
Passive Thermography Based Bearing Fault Diagnosis Using Transfer Learning With Varying Working Conditions
Anurag Choudhary, Tauheed Mian, Shahab Fatima, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 5, pp. 4628-4637
Closed Access | Times Cited: 48
Rolling Bearing Fault Severity Recognition via Data Mining Integrated With Convolutional Neural Network
Dongdong Liu, Lingli Cui, Weidong Cheng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 5768-5777
Closed Access | Times Cited: 43
Transfer learning based fault diagnosis of automobile dry clutch system
Ganjikunta Chakrapani, V. Sugumaran
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105522-105522
Closed Access | Times Cited: 38
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging
Xin Li, Yong Li, Ke Yan, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108921-108921
Closed Access | Times Cited: 38
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