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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 modified scale-space guiding variational mode decomposition for high-speed railway bearing fault diagnosis
Yan Huang, Jianhui Lin, Zechao Liu, et al.
Journal of Sound and Vibration (2019) Vol. 444, pp. 216-234
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network
Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Viviana Cocco Mariani, et al.
Energy Conversion and Management (2020) Vol. 213, pp. 112869-112869
Closed Access | Times Cited: 185
Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis
Yonghao Miao, Boyao Zhang, Chenhui Li, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 2, pp. 1949-1960
Closed Access | Times Cited: 174
Incipient fault diagnosis of rolling bearings based on adaptive variational mode decomposition and Teager energy operator
Ran Gu, Jie Chen, Rongjing Hong, et al.
Measurement (2019) Vol. 149, pp. 106941-106941
Closed Access | Times Cited: 149
A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests
Qin Hu, Xiaosheng Si, Qinghua Zhang, et al.
Mechanical Systems and Signal Processing (2020) Vol. 139, pp. 106609-106609
Closed Access | Times Cited: 142
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
A new fault diagnosis method based on adaptive spectrum mode extraction
Zhijian Wang, Ningning Yang, Naipeng Li, et al.
Structural Health Monitoring (2021) Vol. 20, Iss. 6, pp. 3354-3370
Closed Access | Times Cited: 103
Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines
Xingxing Jiang, Qiuyu Song, Haien Wang, et al.
Mechanism and Machine Theory (2022) Vol. 174, pp. 104919-104919
Closed Access | Times Cited: 100
Recursive variational mode extraction and its application in rolling bearing fault diagnosis
Bin Pang, Mojtaba Nazari, Guiji Tang
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108321-108321
Closed Access | Times Cited: 94
A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions
Shiqian Chen, Kaiyun Wang, Chao Chang, et al.
Journal of Sound and Vibration (2021) Vol. 498, pp. 115963-115963
Closed Access | Times Cited: 74
Spectral envelope-based adaptive empirical Fourier decomposition method and its application to rolling bearing fault diagnosis
Jinde Zheng, Shijun Cao, Haiyang Pan, et al.
ISA Transactions (2022) Vol. 129, pp. 476-492
Closed Access | Times Cited: 52
A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles
Guangxi Yan, Chen Jiang, Yu Bai, et al.
Processes (2022) Vol. 10, Iss. 4, pp. 724-724
Open Access | Times Cited: 44
A novel transfer learning network with adaptive input length selection and lightweight structure for bearing fault diagnosis
Guiting Tang, Cai Yi, Lei Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106395-106395
Closed Access | Times Cited: 30
A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems
Jalal Sahebkar Farkhani, Özgür Çelık, Kaiqi Ma, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 192, pp. 114280-114280
Open Access | Times Cited: 8
Novel predictive features using a wrapper model for rolling bearing fault diagnosis based on vibration signal analysis
Issam Attoui, Brahim Oudjani, Nadir Boutasseta, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 106, Iss. 7-8, pp. 3409-3435
Closed Access | Times Cited: 68
Adaptive correlated Kurtogram and its applications in wheelset-bearing system fault diagnosis
Zechao Liu, Shaopu Yang, Yongqiang Liu, et al.
Mechanical Systems and Signal Processing (2020) Vol. 154, pp. 107511-107511
Closed Access | Times Cited: 56
Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
Hengchang Liu, Dechen Yao, Jianwei Yang, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4827-4827
Open Access | Times Cited: 54
A general multi-objective optimized wavelet filter and its applications in fault diagnosis of wheelset bearings
Shaopu Yang, Xiaohui Gu, Yongqiang Liu, et al.
Mechanical Systems and Signal Processing (2020) Vol. 145, pp. 106914-106914
Closed Access | Times Cited: 53
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
Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing
Jimeng Li, Xin Cheng, Qiang Li, et al.
Signal Processing (2021) Vol. 183, pp. 108025-108025
Closed Access | Times Cited: 49
Multi-component fault diagnosis of wheelset-bearing using shift-invariant impulsive dictionary matching pursuit and sparrow search algorithm
Xing Zhan, Cai Yi, Jianhui Lin, et al.
Measurement (2021) Vol. 178, pp. 109375-109375
Closed Access | Times Cited: 47
Power spectral density-guided variational mode decomposition for the compound fault diagnosis of rolling bearings
Cai Yi, Hao Wang, Le Ran, et al.
Measurement (2022) Vol. 199, pp. 111494-111494
Closed Access | Times Cited: 31
A Review of Variational Mode Decomposition in Seismic Data Analysis
Wei Liu, Yang Liu, Shuangxi Li, et al.
Surveys in Geophysics (2022) Vol. 44, Iss. 2, pp. 323-355
Closed Access | Times Cited: 31
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sobhana Jahan, Farhana Nowsheen, Mahathir Mahmud Antik, et al.
IEEE Access (2023) Vol. 11, pp. 30690-30725
Open Access | Times Cited: 20
Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis
Bingchang Hou, Xiao Feng, Jin-Zhen Kong, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110200-110200
Closed Access | Times Cited: 17
Generalized dispersive mode decomposition: Algorithm and applications
Shiqian Chen, Kaiyun Wang, Zhike Peng, et al.
Journal of Sound and Vibration (2020) Vol. 492, pp. 115800-115800
Closed Access | Times Cited: 47
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