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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:

An Adaptive Weighted Multiscale Convolutional Neural Network for Rotating Machinery Fault Diagnosis Under Variable Operating Conditions
Huihui Qiao, Wang Tai-yong, Peng Wang, et al.
IEEE Access (2019) Vol. 7, pp. 118954-118964
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

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: 407
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 review on deep learning in machining and tool monitoring: methods, opportunities, and challenges
Vahid Nasir, Farrokh Sassani
The International Journal of Advanced Manufacturing Technology (2021) Vol. 115, Iss. 9-10, pp. 2683-2709
Closed Access | Times Cited: 203
Multi-scale convolutional network with channel attention mechanism for rolling bearing fault diagnosis
Yajing Huang, Aihua Liao, Dingyu Hu, et al.
Measurement (2022) Vol. 203, pp. 111935-111935
Closed Access | Times Cited: 91
Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 118253-118267
Open Access | Times Cited: 51
An adaptive multiscale fully convolutional network for bearing fault diagnosis under noisy environments
Fan Li, Liping Wang, Decheng Wang, et al.
Measurement (2023) Vol. 216, pp. 112993-112993
Closed Access | Times Cited: 49
An anti-noise fault diagnosis approach for rolling bearings based on multiscale CNN-LSTM and a deep residual learning model
Hongming Chen, Wei Meng, Yongjian Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 045013-045013
Closed Access | Times Cited: 46
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
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
An intelligent fault diagnosis for machine maintenance using weighted soft-voting rule based multi-attention module with multi-scale information fusion
Zifei Xu, Musa Bashir, Wanfu Zhang, et al.
Information Fusion (2022) Vol. 86-87, pp. 17-29
Open Access | Times Cited: 48
An Adaptive Anti-Noise Neural Network for Bearing Fault Diagnosis Under Noise and Varying Load Conditions
Guoqiang Jin, Tianyi Zhu, M. Waqar Akram, et al.
IEEE Access (2020) Vol. 8, pp. 74793-74807
Open Access | Times Cited: 64
A tool wear monitoring and prediction system based on multiscale deep learning models and fog computing
Huihui Qiao, Tao Wang, Peng Wang
The International Journal of Advanced Manufacturing Technology (2020) Vol. 108, Iss. 7-8, pp. 2367-2384
Closed Access | Times Cited: 60
Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
Hengchang Liu, Dechen Yao, Jianwei Yang, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4827-4827
Open Access | Times Cited: 54
Deep Spatial-Temporal Feature Extraction and Lightweight Feature Fusion for Tool Condition Monitoring
Yufeng Li, Shilong Wang, He Yan, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 7, pp. 7349-7359
Closed Access | Times Cited: 50
A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines
Jianjun Shen, Shihao Li, Feng Jia, et al.
IEEE Access (2020) Vol. 8, pp. 113557-113566
Open Access | Times Cited: 45
Fault Diagnosis Method for Rolling Bearings Based on Two-Channel CNN under Unbalanced Datasets
Yufeng Qin, Xianjun Shi
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8474-8474
Open Access | Times Cited: 24
Bearing performance degradation assessment based on optimized EWT and CNN
Mantang Hu, Guofeng Wang, Kaile Ma, et al.
Measurement (2020) Vol. 172, pp. 108868-108868
Closed Access | Times Cited: 35
A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis
Yu Wang, Dejun Ning, Songlin Feng
Applied Sciences (2020) Vol. 10, Iss. 10, pp. 3659-3659
Open Access | Times Cited: 34
Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
Chun‐Yao Lee, Guang‐Lin Zhuo
IEEE Access (2023) Vol. 11, pp. 26953-26963
Open Access | Times Cited: 11
Attention mechanism-guided residual convolution variational autoencoder for bearing fault diagnosis under noisy environments
Xiaoan Yan, Yanyu Lü, Ying Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125046-125046
Closed Access | Times Cited: 11
Enhanced Lightweight Multiscale Convolutional Neural Network for Rolling Bearing Fault Diagnosis
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
IEEE Access (2020) Vol. 8, pp. 217723-217734
Open Access | Times Cited: 29
Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN
Jiajun He, Ping Wu, Yizhi Tong, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7319-7319
Open Access | Times Cited: 24
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 Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism
Zhiqian Zhao, Yinghou Jiao, Xiang Zhang
Journal of Signal Processing Systems (2023) Vol. 95, Iss. 8, pp. 965-977
Closed Access | Times Cited: 9
Transfer multiscale adaptive convolutional neural network for few-shot and cross-domain bearing fault diagnosis
F. Li, Liping Wang, Decheng Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125002-125002
Closed Access | Times Cited: 9
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