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:

Showing 1-25 of 143 citing articles:

Initial center frequency-guided VMD for fault diagnosis of rotating machines
Xingxing Jiang, Changqing Shen, Juanjuan Shi, et al.
Journal of Sound and Vibration (2018) Vol. 435, pp. 36-55
Closed Access | Times Cited: 182
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
Smart multichannel mode extraction for enhanced bearing fault diagnosis
Qiuyu Song, Xingxing Jiang, Guifu Du, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110107-110107
Closed Access | Times Cited: 49
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis
Xingxing Jiang, Jun Wang, Changqing Shen, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 5, pp. 2708-2725
Closed Access | Times Cited: 99
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
Ali Dibaj, Reza Hassannejad, Mir Mohammad Ettefagh, et al.
ISA Transactions (2020) Vol. 114, pp. 413-433
Closed Access | Times Cited: 91
A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications
Tao Liu, Zhijun Luo, Jiahong Huang, et al.
Sensors (2018) Vol. 18, Iss. 7, pp. 2120-2120
Open Access | Times Cited: 86
A Comparative Analysis of Signal Decomposition Techniques for Structural Health Monitoring on an Experimental Benchmark
Marco Civera, Cecilia Surace
Sensors (2021) Vol. 21, Iss. 5, pp. 1825-1825
Open Access | Times Cited: 76
Combining a deep learning model with multivariate empirical mode decomposition for hourly global horizontal irradiance forecasting
Priya Gupta, Rhythm Singh
Renewable Energy (2023) Vol. 206, pp. 908-927
Closed Access | Times Cited: 29
Adaptive iterative generalized demodulation for nonstationary complex signal analysis: Principle and application in rotating machinery fault diagnosis
Zhipeng Feng, Xiaowang Chen
Mechanical Systems and Signal Processing (2018) Vol. 110, pp. 1-27
Closed Access | Times Cited: 74
Multi-parameter-adjusting stochastic resonance in a standard tri-stable system and its application in incipient fault diagnosis
Zhihui Lai, J. S. Liu, H. T. Zhang, et al.
Nonlinear Dynamics (2019) Vol. 96, Iss. 3, pp. 2069-2085
Closed Access | Times Cited: 66
Identity of attached eddies in turbulent channel flows with bidimensional empirical mode decomposition
Cheng Cheng, Weipeng Li, Adrian Lozano-Durán, et al.
Journal of Fluid Mechanics (2019) Vol. 870, pp. 1037-1071
Open Access | Times Cited: 60
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
Yongbo Li, Shubin Si, Zhiliang Liu, et al.
Journal of Systems Engineering and Electronics (2019) Vol. 30, Iss. 4, pp. 799-799
Open Access | Times Cited: 57
Time-varying filtering for nonstationary signal analysis of rotating machinery: Principle and applications
Xiaohui Duan, Zhipeng Feng
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110204-110204
Closed Access | Times Cited: 18
Fault detection technique using time-varying filter-EMD and differential-CUSUM for LVDC microgrid system
Swetalina Sarangi, Chinmayee Biswal, Binod Kumar Sahu, et al.
Electric Power Systems Research (2023) Vol. 219, pp. 109254-109254
Closed Access | Times Cited: 17
Adaptive parameter selection variational mode decomposition based on a novel hybrid entropy and its applications in locomotive bearing diagnosis
Changjiang Xu, Jiangtian Yang, Tianyi Zhang, et al.
Measurement (2023) Vol. 217, pp. 113110-113110
Closed Access | Times Cited: 16
Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: Principle and applications
Zhipeng Feng, Xinnan Yu, Dong Zhang, et al.
Mechanical Systems and Signal Processing (2019) Vol. 136, pp. 106530-106530
Closed Access | Times Cited: 53
Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery
Ali Dibaj, Mir Mohammad Ettefagh, Reza Hassannejad, et al.
Structural Health Monitoring (2019) Vol. 19, Iss. 5, pp. 1453-1470
Closed Access | Times Cited: 44
Permanent magnet synchronous generator stator current AM-FM model and joint signature analysis for planetary gearbox fault diagnosis
Aoran Gao, Zhipeng Feng, Ming Liang
Mechanical Systems and Signal Processing (2020) Vol. 149, pp. 107331-107331
Closed Access | Times Cited: 40
Applications of Digital Signal Processing in Monitoring Machining Processes and Rotary Components: A Review
Deepam Goyal, Chirag Mongia, Shankar Sehgal
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 8780-8804
Closed Access | Times Cited: 40
Technology development and commercial applications of industrial fault diagnosis system: a review
Chengze Liu, A. Cichoń, Grzegorz Królczyk, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 118, Iss. 11-12, pp. 3497-3529
Open Access | Times Cited: 35
The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis
Zhenling Mo, Zijun Zhang, Kwok‐Leung Tsui
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 34
Wood hole-damage detection and classification via contact ultrasonic testing
Mohsen Mousavi, Amir H. Gandomi
Construction and Building Materials (2021) Vol. 307, pp. 124999-124999
Closed Access | Times Cited: 32
State of the art on vibration signal processing towards data‐driven gear fault diagnosis
Shouhua Zhang, Jiehan Zhou, Erhua Wang, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 4, pp. 249-266
Open Access | Times Cited: 23
Multi-component fault classification of a wind turbine gearbox using integrated condition monitoring and hybrid ensemble method approach
S V V S Narayana Pichika, Godhala Meganaa, G. R. Sabareesh, et al.
Applied Acoustics (2022) Vol. 195, pp. 108814-108814
Closed Access | Times Cited: 22
VKCNN: An interpretable variational kernel convolutional neural network for rolling bearing fault diagnosis
Guangyi Chen, Guping Tang, Z. K. Zhu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102705-102705
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top