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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 fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels
Kai Zhang, Baoping Tang, Lei Deng, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107963-107963
Closed Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

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: 166
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: 144
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 121
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: 90
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 89
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks
Minghang Zhao, Xuyun Fu, Yongjian Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101535-101535
Closed Access | Times Cited: 70
A Novel Transformer-based Few-Shot Learning Method for Intelligent Fault Diagnosis with Noisy Labels under Varying Working Conditions
Haoyu Wang, Chuanjiang Li, Peng Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110400-110400
Closed Access | Times Cited: 16
A novel fault diagnosis of high-speed train axle box bearings with adaptive curriculum self-paced learning under noisy labels
Kai Zhang, Bingwen Wang, Qing Zheng, et al.
Structural Health Monitoring (2025)
Closed Access | Times Cited: 2
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101725-101725
Closed Access | Times Cited: 61
Wind turbine fault detection based on deep residual networks
Jiayang Liu, Xiaosun Wang, Shijing Wu, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119102-119102
Closed Access | Times Cited: 52
Fault diagnosis of rotating machinery based on graph weighted reinforcement networks under small samples and strong noise
Xiaoxia Yu, Baoping Tang, Lei Deng
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109848-109848
Closed Access | Times Cited: 50
A class-aware supervised contrastive learning framework for imbalanced fault diagnosis
Jiyang Zhang, Jianxiao Zou, Zhiheng Su, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109437-109437
Closed Access | Times Cited: 45
Fault Diagnosis Method Based on Two-Stage GAN for Data Imbalance
Wei Luo, Wei Yang, Jialong He, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 22, pp. 21961-21973
Closed Access | Times Cited: 44
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41
A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings
Tao Zuo, Kai Zhang, Qing Zheng, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109337-109337
Closed Access | Times Cited: 41
A CNN model based on innovative expansion operation improving the fault diagnosis accuracy of drilling pump fluid end
Gang Li, Jiayao Hu, Daiwei Shan, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109974-109974
Closed Access | Times Cited: 40
Multitarget prediction and optimization of pure electric vehicle tire/road airborne noise sound quality based on a knowledge- and data-driven method
Haibo Huang, Teik C. Lim, Jiuhui Wu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110361-110361
Closed Access | Times Cited: 33
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Computers in Industry (2023) Vol. 151, pp. 103972-103972
Closed Access | Times Cited: 33
Joint learning system based on semi–pseudo–label reliability assessment for weak–fault diagnosis with few labels
Dawei Gao, Yongsheng Zhu, Ke Yan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110089-110089
Closed Access | Times Cited: 32
A concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 31
Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model With Multiscale Features
Zong Meng, Cheng Luo, Jimeng Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13236-13247
Closed Access | Times Cited: 23
DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition
Xuwei Lai, Kai Zhang, Qing Zheng, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111421-111421
Closed Access | Times Cited: 13
An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels
Guohao Qin, Kai Zhang, Xuwei Lai, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 12
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis
Xuefang Xu, Shuo Bao, Pengfei Liang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123124-123124
Closed Access | Times Cited: 10
A rolling bearing fault diagnosis method based on interactive generative feature space oversampling-based autoencoder under imbalanced data
F Huang, Kai Zhang, Zhixuan Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 9
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