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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:

Extraction of weak fault transients using variational mode decomposition for fault diagnosis of gearbox under varying speed
Vikas Sharma, Anand Parey
Engineering Failure Analysis (2019) Vol. 107, pp. 104204-104204
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

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
An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
Shengnan Tang, Yong Zhu, Shouqi Yuan
Engineering Failure Analysis (2022) Vol. 138, pp. 106300-106300
Closed Access | Times Cited: 76
Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM
Zhenpeng Lao, Deqiang He, Zexian Wei, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107219-107219
Closed Access | Times Cited: 64
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE
Zhiyi He, Haidong Shao, Zhong Xiang, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101150-101150
Closed Access | Times Cited: 106
A novel carbon price prediction model combines the secondary decomposition algorithm and the long short-term memory network
Wei Sun, Chenchen Huang
Energy (2020) Vol. 207, pp. 118294-118294
Closed Access | Times Cited: 85
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
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
A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis
Shahis Hashim, Piyush Shakya
ISA Transactions (2023) Vol. 142, pp. 492-500
Closed Access | Times Cited: 29
A review on diagnostic and prognostic approaches for gears
Pradeep Kundu, Ashish K. Darpe, Makarand S. Kulkarni
Structural Health Monitoring (2020) Vol. 20, Iss. 5, pp. 2853-2893
Closed Access | Times Cited: 64
Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis
Haiyang Pan, Jinde Zheng, Yu Yang, et al.
Mechanism and Machine Theory (2020) Vol. 155, pp. 104082-104082
Closed Access | Times Cited: 58
Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning
Zhenzhen Jin, Deqiang He, Rui Ma, et al.
Digital Signal Processing (2021) Vol. 121, pp. 103312-103312
Closed Access | Times Cited: 52
Spur gear crack modelling and analysis under variable speed conditions using variational mode decomposition
Akash Patel, Piyush Shakya
Mechanism and Machine Theory (2021) Vol. 164, pp. 104357-104357
Closed Access | Times Cited: 42
Variational time-domain decomposition of reciprocating machine multi-impact vibration signals
Nanyang Zhao, Jinjie Zhang, Wensheng Ma, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 108977-108977
Closed Access | Times Cited: 34
Variable-scale evolutionary adaptive mode denoising in the application of gearbox early fault diagnosis
Rui Liu, Xiaoxi Ding, Yudong Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109773-109773
Closed Access | Times Cited: 34
A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network
Zhigang Feng, Shouqi Wang, Mingyue Yu
Digital Signal Processing (2023) Vol. 140, pp. 104106-104106
Closed Access | Times Cited: 21
Incipient fault detection of planetary gearbox under steady and varying condition
Jiayang Liu, Qiang Zhang, Fuqi Xie, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 121003-121003
Closed Access | Times Cited: 14
Using machine learning approach to investigate the impact of missing sensors on fault classification of multistage gear box
S V V S Narayana Pichika, Brahmini Priya Venkata Pragada, G. R. Sabareesh, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 3
Closed Access
Prediction of Ultra-Short-Term Photovoltaic Power Using BiLSTM–Informer Based on Secondary Decomposition
Ruoqi Zhang, Zishuo Xu, Shuangquan Liu, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1485-1485
Open Access
Bearing Fault Diagnosis Based on VMD Fuzzy Entropy and Improved Deep Belief Networks
Zhenzhen Jin, Yingqian Sun
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 2, pp. 577-587
Closed Access | Times Cited: 19
An intelligent milling chatter detection method based on VMD-synchro-squeeze wavelet and transfer learning via deep CNN with vibration signals
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 1-2, pp. 629-657
Closed Access | Times Cited: 12
Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition
Chunfeng Wei, Hong Wang, Fo Hu, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103487-103487
Closed Access | Times Cited: 16
A Novel Fault Diagnosis of a Rolling Bearing Method Based on Variational Mode Decomposition and an Artificial Neural Network
Xiaobei Liang, Jinyong Yao, Weifang Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3413-3413
Open Access | Times Cited: 10
Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals
Khairul Jauhari, Achmad Zaki Rahman, Mahfudz Al Huda, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3083-3114
Closed Access | Times Cited: 10
High accuracy key feature extraction approach for the non-stationary signals measurement based on NGO-VMD noise reduction and CNN-LSTM
Fujing Xu, Ruirui Jing, Yan Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015031-015031
Closed Access | Times Cited: 9
Vibration modulation features analysis of fixed-shaft gear train considering speed fluctuation and flexible transmission path based on signal convolution model
Fei Jiang, Yong Zhu, Jinglun Liang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111250-111250
Closed Access | Times Cited: 3
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