Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
Tianyang Wang, Qinkai Han, Fulei Chu, et al.
Mechanical Systems and Signal Processing (2019) Vol. 126, pp. 662-685
Closed Access | Times Cited: 461

Showing 1-25 of 461 citing articles:

The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Tianfu Li, Zheng Zhou, Sinan Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108653-108653
Closed Access | Times Cited: 308
A review of vibration-based gear wear monitoring and prediction techniques
Ke Feng, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109605-109605
Open Access | Times Cited: 277
Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
Mohd Syahril Ramadhan Mohd Saufi, Zair Asrar Ahmad, M. Salman Leong, et al.
IEEE Access (2019) Vol. 7, pp. 122644-122662
Open Access | Times Cited: 226
Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample
Mohd Syahril Ramadhan Mohd Saufi, Zair Asrar Ahmad, M. Salman Leong, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 16, Iss. 10, pp. 6263-6271
Closed Access | Times Cited: 207
Macroscopic–Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction
Yi Qin, Sheng Xiang, Yi Chai, et al.
IEEE Transactions on Industrial Electronics (2019) Vol. 67, Iss. 12, pp. 10865-10875
Closed Access | Times Cited: 189
Mel Frequency Cepstral Coefficient and its Applications: A Review
Zrar Kh. Abdul, Abdulbasit K. Al‐Talabani
IEEE Access (2022) Vol. 10, pp. 122136-122158
Open Access | Times Cited: 172
A review on the application of blind deconvolution in machinery fault diagnosis
Yonghao Miao, Boyao Zhang, Jing Lin, et al.
Mechanical Systems and Signal Processing (2021) Vol. 163, pp. 108202-108202
Closed Access | Times Cited: 162
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: 155
A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis
Hamed Badihi, Youmin Zhang, Bin Jiang, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 6, pp. 754-806
Open Access | Times Cited: 136
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6339-6353
Closed Access | Times Cited: 128
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: 109
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: 83
On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines
Phong B. Dao
Applied Energy (2022) Vol. 318, pp. 119209-119209
Open Access | Times Cited: 77
Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation
Dezun Zhao, Honghao Wang, Lingli Cui
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111112-111112
Closed Access | Times Cited: 63
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 52
Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery
Zijian Qiao, Shuai Chen, Zhihui Lai, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 8, pp. 7293-7307
Open Access | Times Cited: 40
An In-Depth Study of Vibration Sensors for Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Sensors (2024) Vol. 24, Iss. 3, pp. 740-740
Open Access | Times Cited: 21
Integrated Artificial Intelligent and Physics-Based Models for Unbalance Estimation in Rotating Systems
Ioannis Tselios, Pantelis G. Nikolakopoulos
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2020) Vol. 8, pp. 86510-86519
Open Access | Times Cited: 128
Detection of Deterioration of Three-phase Induction Motor using Vibration Signals
Adam Głowacz, W. Głowacz, Jarosław Kozik, et al.
Measurement Science Review (2019) Vol. 19, Iss. 6, pp. 241-249
Closed Access | Times Cited: 115
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
Double-level adversarial domain adaptation network for intelligent fault diagnosis
Jinyang Jiao, Jing Lin, Ming Zhao, et al.
Knowledge-Based Systems (2020) Vol. 205, pp. 106236-106236
Closed Access | Times Cited: 105
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples
Zhiyi He, Haidong Shao, Xiaoyang Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 115368-115377
Open Access | Times Cited: 101
Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings
Biao Li, Baoping Tang, Lei Deng, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 86
Wavelet Packet Decomposition-Based Multiscale CNN for Fault Diagnosis of Wind Turbine Gearbox
Dajian Huang, Wen‐An Zhang, Fanghong Guo, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 1, pp. 443-453
Closed Access | Times Cited: 86
Page 1 - Next Page

Scroll to top