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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:

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy
Xuejun Chen, Yongming Yang, Zhixin Cui, et al.
Energy (2019) Vol. 174, pp. 1100-1109
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism
Zifei Xu, Chun Li, Yang Yang
ISA Transactions (2020) Vol. 110, pp. 379-393
Open Access | Times Cited: 166
A Review on Vibration-Based Condition Monitoring of Rotating Machinery
Monica Tiboni, Carlo Remino, Roberto Bussola, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 972-972
Open Access | Times Cited: 152
Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks
Zifei Xu, Chun Li, Yang Yang
Applied Soft Computing (2020) Vol. 95, pp. 106515-106515
Open Access | Times Cited: 143
Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals
Zhenya Wang, Ligang Yao, Gang Chen, et al.
ISA Transactions (2021) Vol. 114, pp. 470-484
Closed Access | Times Cited: 128
Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning
Deqiang He, Chenyu Liu, Zhenzhen Jin, et al.
Energy (2021) Vol. 239, pp. 122108-122108
Closed Access | Times Cited: 127
Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine
Zhenya Wang, Gaosong Li, Ligang Yao, et al.
ISA Transactions (2023) Vol. 138, pp. 582-602
Closed Access | Times Cited: 60
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
A rolling bearing fault diagnosis technique based on recurrence quantification analysis and Bayesian optimization SVM
Bing Wang, Wentao Qiu, Xiong Hu, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111506-111506
Closed Access | Times Cited: 25
Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis
Zhenya Wang, Ligang Yao, Yongwu Cai, et al.
Renewable Energy (2020) Vol. 155, pp. 1312-1327
Open Access | Times Cited: 129
Fault Diagnosis of Bearing in Wind Turbine Gearbox Under Actual Operating Conditions Driven by Limited Data With Noise Labels
Nantian Huang, Qingzhu Chen, Guowei Cai, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-10
Closed Access | Times Cited: 111
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy (2021) Vol. 229, pp. 120617-120617
Open Access | Times Cited: 94
Multichannel fault diagnosis of wind turbine driving system using multivariate singular spectrum decomposition and improved Kolmogorov complexity
Xiaoan Yan, Ying Liu, Yadong Xu, et al.
Renewable Energy (2021) Vol. 170, pp. 724-748
Closed Access | Times Cited: 77
Bearing Fault Event-Triggered Diagnosis Using a Variational Mode Decomposition-Based Machine Learning Approach
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 1, pp. 466-474
Open Access | Times Cited: 60
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping
Zhenya Wang, Gaosong Li, Ligang Yao, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107276-107276
Closed Access | Times Cited: 57
A novel multiscale forecasting model for crude oil price time series
Ranran Li, Yucai Hu, Jiani Heng, et al.
Technological Forecasting and Social Change (2021) Vol. 173, pp. 121181-121181
Closed Access | Times Cited: 55
A hybrid CNN-BiLSTM approach-based variational mode decomposition for tool wear monitoring
Rabah Bazi, Tarak Benkedjouh, Houssem Habbouche, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 5-6, pp. 3803-3817
Closed Access | Times Cited: 53
Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies
Mehdi Neshat, Meysam Majidi Nezhad, Seyedali Mirjalili, et al.
Energy Conversion and Management (2022) Vol. 259, pp. 115590-115590
Closed Access | Times Cited: 53
Small sample fault diagnosis method for wind turbine gearbox based on optimized generative adversarial networks
Yuanhao Su, Liang Meng, Xiaojia Kong, et al.
Engineering Failure Analysis (2022) Vol. 140, pp. 106573-106573
Closed Access | Times Cited: 51
Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser
Mehdi Neshat, Meysam Majidi Nezhad, Nataliia Y. Sergiienko, et al.
Energy (2022) Vol. 256, pp. 124623-124623
Open Access | Times Cited: 39
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
Closed Access | Times Cited: 29
Knowledge-informed deep networks for robust fault diagnosis of rolling bearings
Yunsheng Su, Luojie Shi, Kai Zhou, et al.
Reliability Engineering & System Safety (2023) Vol. 244, pp. 109863-109863
Closed Access | Times Cited: 29
Fault detection in wind turbine generators using a meta-learning-based convolutional neural network
Likui Qiao, Yuxian Zhang, Qisen Wang
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110528-110528
Closed Access | Times Cited: 28
Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
Zhen Wang, Y. Ying, Lei Kou, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 444-444
Open Access | Times Cited: 9
Fault diagnosis of planetary gearbox based on acoustic signals
Jiachi Yao, Chao Liu, Keyu Song, et al.
Applied Acoustics (2021) Vol. 181, pp. 108151-108151
Closed Access | Times Cited: 52
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