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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 Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
Kaiyu Zhang, Jinglong Chen, Tianci Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 55, pp. 273-284
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
Hongru Cao, Haidong Shao, Xiang Zhong, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 186-198
Closed Access | Times Cited: 207
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
Mohamed Esmail Karar, Fahad Alsunaydi, Sultan Albusaymi, et al.
Alexandria Engineering Journal (2021) Vol. 60, Iss. 5, pp. 4423-4432
Open Access | Times Cited: 184
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Yong Feng, Jinglong Chen, Jingsong Xie, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107646-107646
Closed Access | Times Cited: 164
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques
P R Gokul, Aneesh Mathew, Avadhoot Bhosale, et al.
Ecological Informatics (2023) Vol. 76, pp. 102067-102067
Closed Access | Times Cited: 60
Tool wear identification and prediction method based on stack sparse self-coding network
Yiyuan Qin, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 72-84
Closed Access | Times Cited: 55
Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Chuanbo Wen, Yipeng Xue, Weibo Liu, et al.
Neurocomputing (2024) Vol. 576, pp. 127355-127355
Closed Access | Times Cited: 19
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots
Jianyu Long, Jindong Mou, Liangwei Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 736-745
Closed Access | Times Cited: 120
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs
Baoping Cai, Xiutao Sun, Jiaxing Wang, et al.
Journal of Manufacturing Systems (2020) Vol. 57, pp. 148-157
Open Access | Times Cited: 96
Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network
Xianli Liu, Shaoyang Liu, Xuebing Li, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 608-619
Closed Access | Times Cited: 91
A spiking neural network-based approach to bearing fault diagnosis
Lin Zuo, Lei Zhang, Zhehan Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 714-724
Closed Access | Times Cited: 83
End to end multi-task learning with attention for multi-objective fault diagnosis under small sample
Zongliang Xie, Jinglong Chen, Yong Feng, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 301-316
Closed Access | Times Cited: 82
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples
Zongliang Xie, Jinglong Chen, Yong Feng, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 561-577
Closed Access | Times Cited: 62
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions
Mengqi Miao, Jianbo Yu, Zhihong Zhao
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108259-108259
Closed Access | Times Cited: 57
Rolling bearing fault diagnosis based on information fusion and parallel lightweight convolutional network
Yang Guan, Zong Meng, Dengyun Sun, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 811-821
Closed Access | Times Cited: 38
Deep learning coupled model based on TCN-LSTM for particulate matter concentration prediction
Ying Ren, Siyuan Wang, Bisheng Xia
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101703-101703
Closed Access | Times Cited: 25
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy
Kaiyu Zhang, Jinglong Chen, Tianci Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 57, pp. 400-415
Closed Access | Times Cited: 65
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis
Zhuang Ye, Jianbo Yu
Journal of Manufacturing Systems (2021) Vol. 59, pp. 467-480
Closed Access | Times Cited: 45
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
A multi-level adaptation scheme for hierarchical bearing fault diagnosis under variable working conditions
Kaige Su, Jianhua Liu, Hui Xiong
Journal of Manufacturing Systems (2022) Vol. 64, pp. 251-260
Closed Access | Times Cited: 34
Improved spiking neural network for intershaft bearing fault diagnosis
Jun Wang, Tianfu Li, Chuang Sun, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 208-219
Closed Access | Times Cited: 30
Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples
Wenqing Wan, Jinglong Chen, Zitong Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6380-6392
Closed Access | Times Cited: 29
Machine fault detection methods based on machine learning algorithms: A review
Giuseppe Ciaburro
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 11, pp. 11453-11490
Open Access | Times Cited: 28
A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics
Caihua Hao, Xinyong Mao, Tao Ma, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102106-102106
Closed Access | Times Cited: 19
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