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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:

Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
Pengfei Liang, Chao Deng, Jun Wu, et al.
Measurement (2020) Vol. 159, pp. 107768-107768
Closed Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
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
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
Yiwei Cheng, Manxi Lin, Jun Wu, et al.
Knowledge-Based Systems (2021) Vol. 216, pp. 106796-106796
Closed Access | Times Cited: 245
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 148
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
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 126
Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations
Kai Zhou, Edward Diehl, Jiong Tang
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109772-109772
Open Access | Times Cited: 106
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 83
Vibration signal-based early fault prognosis: Status quo and applications
Yaqiong Lv, Wenqin Zhao, Zhiyao Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101609-101609
Closed Access | Times Cited: 80
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique
Wenlong Fu, Xiaohui Jiang, Bailin Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 72
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
Pengfei Liang, Zhuoze Yu, Bin Wang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102075-102075
Closed Access | Times Cited: 71
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 59
Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds
Pengfei Liang, Leitao Xu, Hanqin Shuai, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 730-741
Closed Access | Times Cited: 48
Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine
Laohu Yuan, Dongshan Lian, Kang Xue, et al.
IEEE Access (2020) Vol. 8, pp. 137395-137406
Open Access | Times Cited: 128
A novel intelligent fault diagnosis method of rolling bearing based on two-stream feature fusion convolutional neural network
Feng Xue, Weimin Zhang, Fei Xue, et al.
Measurement (2021) Vol. 176, pp. 109226-109226
Closed Access | Times Cited: 88
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks
Peng Chen, Yu Li, Kesheng Wang, et al.
Measurement (2020) Vol. 167, pp. 108234-108234
Closed Access | Times Cited: 76
Deep Generative Models in the Industrial Internet of Things: A Survey
Suparna De, María Bermúdez-Edo, Honghui Xu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 9, pp. 5728-5737
Open Access | Times Cited: 47
Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements
Xiaoli Tang, Yuandong Xu, Xiuquan Sun, et al.
ISA Transactions (2022) Vol. 133, pp. 559-574
Open Access | Times Cited: 45
Data Augmentation for Intelligent Mechanical Fault Diagnosis Based on Local Shared Multiple-Generator GAN
Qingwen Guo, Yibin Li, Yanjun Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9598-9609
Closed Access | Times Cited: 39
Hybrid Method with Parallel-Factor Theory, a Support Vector Machine, and Particle Filter Optimization for Intelligent Machinery Failure Identification
Shaoyi Li, Hanxin Chen, Yongting Chen, et al.
Machines (2023) Vol. 11, Iss. 8, pp. 837-837
Open Access | Times Cited: 39
ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 31
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 24
A review: multiplicative faults and model-based condition monitoring strategies for fault diagnosis in rotary machines
Prabhat Kumar, Rajiv Tiwari
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 5
Closed Access | Times Cited: 23
Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
Thao Nguyen-Da, Phuong Nguyen Thanh, Ming-Yuan Cho
Internet of Things (2024) Vol. 27, pp. 101280-101280
Closed Access | Times Cited: 8
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