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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:

Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals
Dengyu Xiao, Chengjin Qin, Honggan Yu, et al.
Measurement (2021) Vol. 176, pp. 109186-109186
Closed Access | Times Cited: 50

Showing 1-25 of 50 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: 287
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Yong Zhu, Guangpeng Li, Shengnan Tang, et al.
Applied Acoustics (2022) Vol. 192, pp. 108718-108718
Closed Access | Times Cited: 89
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
Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module
Chengjin Qin, Yanrui Jin, Zhinan Zhang, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 963-986
Open Access | Times Cited: 59
A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction
Honggan Yu, Chengjin Qin, Jianfeng Tao, et al.
Tunnelling and Underground Space Technology (2023) Vol. 133, pp. 104949-104949
Closed Access | Times Cited: 47
RCLSTMNet: A Residual-convolutional-LSTM Neural Network for Forecasting Cutterhead Torque in Shield Machine
Chengjin Qin, Gang Shi, Jianfeng Tao, et al.
International Journal of Control Automation and Systems (2024) Vol. 22, Iss. 2, pp. 705-721
Closed Access | Times Cited: 28
DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection
Chengjin Qin, Yanrui Jin, Jianfeng Tao, et al.
Measurement (2021) Vol. 180, pp. 109548-109548
Closed Access | Times Cited: 70
An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network
Yanrui Jin, Chengjin Qin, Jianfeng Tao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108312-108312
Closed Access | Times Cited: 58
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
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 33
Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis
Geonkyo Hong, Dongjun Suh
Expert Systems with Applications (2023) Vol. 217, pp. 119551-119551
Open Access | Times Cited: 20
Systematic review of class imbalance problems in manufacturing
Andrea de Giorgio, Gabriele Cola, Lihui Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 620-644
Closed Access | Times Cited: 16
Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review
Yuanyuan Yang, Md. Muhie Menul Haque, Dongling Bai, et al.
Energies (2021) Vol. 14, Iss. 21, pp. 7017-7017
Open Access | Times Cited: 34
Broken Bar Fault Detection and Diagnosis Techniques for Induction Motors and Drives: State of the Art
Mohamed Esam El-Dine Atta, Doaa Khalil Ibrahim, Mahmoud Gilany
IEEE Access (2022) Vol. 10, pp. 88504-88526
Open Access | Times Cited: 26
Acoustic feature enhancement in rolling bearing fault diagnosis using sparsity-oriented multipoint optimal minimum entropy deconvolution adjusted method
Yaochun Hou, Changqing Zhou, Changming Tian, et al.
Applied Acoustics (2022) Vol. 201, pp. 109105-109105
Closed Access | Times Cited: 23
Time graph sub-domain adaption adversarial for fault diagnosis
Kuangchi Sun, Aijun Yin, Shiao Lu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055004-055004
Closed Access | Times Cited: 4
Scraper conveyor gearbox fault diagnosis based on multi-source heterogeneous data fusion
Long Feng, Zeyu Ding, Yibing Yin, et al.
Measurement (2025), pp. 116797-116797
Closed Access
A transfer learning method: Universal domain adaptation with noisy samples for bearing fault diagnosis
Yi Sun, Hong‐Liang Song, Liang Guo, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103243-103243
Closed Access
An Ensemble Domain Adaptation Network with High-quality Pseudo Labels for Rolling Bearing Fault Diagnosis
Ming Xie, Jianxin Liu, Yifan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 4
Hybrid data augmentation method for combined failure recognition in rotating machines
Dionísio Henrique Carvalho de Sá Só Martins, Amaro A. de Lima, Milena F. Pinto, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 4, pp. 1795-1813
Closed Access | Times Cited: 16
Applications of Artificial Intelligence for Fault Diagnosis of Rotating Machines: A Review
Fasikaw Kibrete, Dereje Engida Woldemichael
(2023), pp. 41-62
Closed Access | Times Cited: 10
A transfer learning framework for well placement optimization based on denoising autoencoder
Ji Qi, Yanqing Liu, Yafeng Ju, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211446-211446
Closed Access | Times Cited: 8
Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network
Jing Feng, Shouyang Bao, Xiaobin Xu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 21211-21226
Closed Access | Times Cited: 8
Multiscale Margin Disparity Adversarial Network Transfer Learning for Fault Diagnosis
Kuangchi Sun, Zhenfeng Huang, Hanling Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai, Gaëtan Frusque, Tianfu Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107202-107202
Open Access | Times Cited: 8
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