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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 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

Showing 1-25 of 144 citing articles:

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
A new tool wear condition monitoring method based on deep learning under small samples
Yuqing Zhou, Gaofeng Zhi, Wei Chen, et al.
Measurement (2021) Vol. 189, pp. 110622-110622
Closed Access | Times Cited: 109
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: 87
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: 81
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: 70
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: 69
A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions
Xiao Yu, Zhongting Liang, Youjie Wang, et al.
Measurement (2022) Vol. 201, pp. 111597-111597
Open Access | Times Cited: 64
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: 59
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 56
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 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: 39
Joint attention feature transfer network for gearbox fault diagnosis with imbalanced data
Biao Li, Baoping Tang, Lei Deng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 176, pp. 109146-109146
Closed Access | Times Cited: 37
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
Han Peng, Songyin Li, Linjian Shangguan, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8333-8333
Open Access | Times Cited: 26
Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN
Jianqun Zhang, Qing Zhang, Xianrong Qin, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 324-342
Closed Access | Times Cited: 23
A Fault Diagnosis Method for Rolling Bearing Based on 1D-ViT Model
Pinghu Xu, Lijun Zhang
IEEE Access (2023) Vol. 11, pp. 39664-39674
Open Access | Times Cited: 22
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: 21
CBAM-CRLSGAN: A novel fault diagnosis method for planetary transmission systems under small samples scenarios
Jie Zhang, Yun Kong, Zhuyun Chen, et al.
Measurement (2024) Vol. 234, pp. 114795-114795
Closed Access | Times Cited: 13
Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network
Xiaoyang Zheng, Peixi Yang, Kai Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108087-108087
Closed Access | Times Cited: 7
An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis
Fengqian Zou, Haifeng Zhang, Shengtian Sang, et al.
Measurement (2021) Vol. 186, pp. 110236-110236
Closed Access | Times Cited: 54
DeepFedWT: A federated deep learning framework for fault detection of wind turbines
Guoqian Jiang, Weipeng Fan, Wenyue Li, et al.
Measurement (2022) Vol. 199, pp. 111529-111529
Closed Access | Times Cited: 32
Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review
Arturo Yosimar Jaen-Cuéllar, David A. Elvira-Ortiz, Roque A. Osornio‐Rios, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5404-5404
Open Access | Times Cited: 32
Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
Junfei Du, Xinyu Li, Yiping Gao, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8760-8760
Open Access | Times Cited: 32
A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis
Yan Zhang, Wenyi Liu, Xin Wang, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117473-117473
Closed Access | Times Cited: 29
Intelligent fault diagnosis of gearbox based on differential continuous wavelet transform-parallel multi-block fusion residual network
Liang Meng, Yuanhao Su, Xiaojia Kong, et al.
Measurement (2022) Vol. 206, pp. 112318-112318
Closed Access | Times Cited: 27
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