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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:

Fault Diagnosis of Rolling Bearing Based on an Improved Denoising Technique Using Complete Ensemble Empirical Mode Decomposition and Adaptive Thresholding Method
Prashant Kumar Sahu, Rajiv Nandan
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 2, pp. 513-535
Open Access | Times Cited: 24

Showing 24 citing articles:

Systematic Review on Fault Diagnosis on Rolling-Element Bearing
M. Pandiyan, T. Narendiranath Babu
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 11
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 11
A Fault Diagnosis Approach Based on 2D-Vibration Imaging for Bearing Faults
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 7, pp. 3121-3134
Closed Access | Times Cited: 26
Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109408-109408
Closed Access | Times Cited: 5
Fault diagnosis of high-speed rolling bearing in the whole life cycle based on improved grey wolf optimizer-least squares support vector machines
Junning Li, Wenguang Luo, Mengsha Bai, et al.
Digital Signal Processing (2023) Vol. 145, pp. 104345-104345
Closed Access | Times Cited: 11
Deep learning-based fault classification of rolling bearings under noisy conditions using CEEMD-VMD-IMF with magnitude scalogram images
Prashant Kumar Sahu, Rajiv Nandan, Neha Patel
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 10, pp. 5281-5295
Closed Access | Times Cited: 4
A Novel Methodology for Chipped Teeth and Worn Tooth Gear Fault Detection Using Minimum Entropy Deconvolution and CEEMDAN
Priyom Goswami, Rajiv Nandan
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Fault Diagnosis of Rolling Bearings Based on Acoustic Signals in Strong Noise Environments
Hengdi Wang, Jingwei Xie
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1389-1389
Open Access
A Hybrid Fault Diagnosis Model for Rolling Bearing With Optimized VMD and Fuzzy Dispersion Entropy
Xin Xia, Xiaolu Wang, Weilin Chen
International Journal of Rotating Machinery (2025) Vol. 2025, Iss. 1
Open Access
Fault-Diagnosis Method for Rotating Machinery Based on SVMD Entropy and Machine Learning
Lijun Zhang, Yuejian Zhang, Guangfeng Li
Algorithms (2023) Vol. 16, Iss. 6, pp. 304-304
Open Access | Times Cited: 10
Combined VMD-Morlet Wavelet Filter Based Signal De-noising Approach and Its Applications in Bearing Fault Diagnosis
Akshay Rajendra Patil, Sandaram Buchaiah, Piyush Shakya
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 3
LSTM-based deep learning approach for remaining useful life prediction of rolling bearing using proposed C-MMPE feature
Prashant Kumar Sahu, Rajiv Nandan
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 5, pp. 2197-2209
Closed Access | Times Cited: 3
Bearing fault-induced feature enhancement via adaptive multi-band denoising model
Lijuan Zhao, Long Zhang, Hao Zhang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075012-075012
Closed Access | Times Cited: 7
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Hydroelectric Unit Vibration Signal Feature Extraction Based on IMF Energy Moment and SDAE
Dong Liu, Lijun Kong, Bing Yao, et al.
Water (2024) Vol. 16, Iss. 14, pp. 1956-1956
Open Access | Times Cited: 2
Feature extraction based on vibration signal decomposition for fault diagnosis of rolling bearings
Hocine Bendjama
The International Journal of Advanced Manufacturing Technology (2023) Vol. 130, Iss. 1-2, pp. 821-836
Closed Access | Times Cited: 6
Application of multi-kernel relevance vector machine and data pre-processing by complementary ensemble empirical mode decomposition and mutual dimensionless in fault diagnosis
Jianbin Xiong, Kang Chen, Jian Cen, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 115018-115018
Closed Access | Times Cited: 4
Multi-modal adaptive feature extraction for early-stage weak fault diagnosis in bearings
Zhenzhong Xu, Xu Chen, Linchao Yang, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 6, pp. 4074-4095
Open Access
Adaptive Optimal Resonance Fault Feature Enhancement for Wind Turbine Based on Frequency Search and Uncertainty Analysis
Jian Dang, Yile Wang, Yin Haolin, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2024) Vol. 19, Iss. 12, pp. 2044-2061
Closed Access
Improvement of multiscale decomposition for space-based gravitational wave signal processing technology
Qiuping Shen, Yunqing Liu, Dongpo Xu, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311213-e0311213
Open Access
Oscillation search robust dynamic mode decomposition method and its application in rolling bearing fault diagnosis
Huang Ji, Jinhai Wang, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016138-016138
Closed Access
Fault Diagnosis Approach for Rotating Machinery Rotor Parts Based on Equipment Operation Principle and CEEMD
Lijun Zhang, Shihao Yu, Gaojuan GUO, et al.
Mechanika (2023) Vol. 29, Iss. 6, pp. 494-501
Open Access | Times Cited: 1
Degradation Monitoring and RUL Prediction of Rolling Element Bearing Using Proposed C-MMPE Feature
Prashant Kumar Sahu, Rajiv Nandan
(2022) Vol. 5, pp. 54-60
Closed Access | Times Cited: 2
Exploring Filter Banks and Spike Interval Statistics of Level-Crossing ADCs for Fault Diagnosis of Rolling Element Bearings
Ashwani Kumar, Daniel Strömbergsson, Pär Marklund, et al.
Annual Conference of the PHM Society (2023) Vol. 15, Iss. 1
Open Access
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