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:

An adaptive and tacholess order analysis method based on enhanced empirical wavelet transform for fault detection of bearings with varying speeds
Yue Hu, Xiaotong Tu, Fucai Li, et al.
Journal of Sound and Vibration (2017) Vol. 409, pp. 241-255
Closed Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings
Zepeng Liu, Long Zhang
Measurement (2019) Vol. 149, pp. 107002-107002
Closed Access | Times Cited: 399

Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis
Siliang Lu, Ruqiang Yan, Yongbin Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 68, Iss. 7, pp. 2315-2332
Closed Access | Times Cited: 185

A novel Fast Entrogram and its applications in rolling bearing fault diagnosis
Kun Zhang, Yonggang Xu, Zhiqiang Liao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 154, pp. 107582-107582
Closed Access | Times Cited: 128

Artificial Intelligence-Based Technique for Fault Detection and Diagnosis of EV Motors: A Review
Wangjie Lang, Yihua Hu, Chao Gong, et al.
IEEE Transactions on Transportation Electrification (2021) Vol. 8, Iss. 1, pp. 384-406
Open Access | Times Cited: 102

Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds
Yifan Li, Xin Zhang, Zaigang Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110108-110108
Closed Access | Times Cited: 74

Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
Peng Zhou, Shiqian Chen, Qingbo He, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110489-110489
Closed Access | Times Cited: 67

Rotating Machinery Fault Diagnosis Under Time-Varying Speeds: A Review
Dongdong Liu, Lingli Cui, Huaqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29969-29990
Open Access | Times Cited: 54

A Combined Polynomial Chirplet Transform and Synchroextracting Technique for Analyzing Nonstationary Signals of Rotating Machinery
Kun Yu, Tian Ran Lin, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 4, pp. 1505-1518
Closed Access | Times Cited: 137

Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
Anil Kumar, Yuqing Zhou, Jiawei Xiang
Measurement (2020) Vol. 168, pp. 108402-108402
Closed Access | Times Cited: 108

Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4757-4769
Closed Access | Times Cited: 95

Role of Signal Processing, Modeling and Decision Making in the Diagnosis of Rolling Element Bearing Defect: A Review
Anil Kumar, Rajesh Kumar
Journal of Nondestructive Evaluation (2018) Vol. 38, Iss. 1
Closed Access | Times Cited: 87

Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis
Kun Zhang, Chaoyong Ma, Yonggang Xu, et al.
Measurement (2021) Vol. 172, pp. 108976-108976
Closed Access | Times Cited: 86

Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
Anil Kumar, Govind Vashishtha, Chander Parkash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104401-104401
Closed Access | Times Cited: 62

Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
Huan Wang, Zhiliang Liu, Yipei Ge, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107978-107978
Closed Access | Times Cited: 57

Operational modal identification of structures based on improved empirical wavelet transform
Yu Xin, Hong Hao, Jun Li
Structural Control and Health Monitoring (2019) Vol. 26, Iss. 3, pp. e2323-e2323
Open Access | Times Cited: 54

Generalized Vold–Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear
Dezun Zhao, Weidong Cheng, Robert X. Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 2, pp. 401-410
Closed Access | Times Cited: 54

An improved empirical wavelet transform and sensitive components selecting method for bearing fault
Qingqing Liu, Jiangtian Yang, Kun Zhang
Measurement (2021) Vol. 187, pp. 110348-110348
Closed Access | Times Cited: 47

Order spectrum analysis enhanced by surrogate test and Vold-Kalman filtering for rotating machinery fault diagnosis under time-varying speed conditions
Xiaowang Chen, Zhipeng Feng
Mechanical Systems and Signal Processing (2021) Vol. 154, pp. 107585-107585
Closed Access | Times Cited: 44

Use of vibration signal to estimate instantaneous angular frequency under strong nonstationary regimes
Yifan Li, Changqing Geng, Ming J. Zuo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110571-110571
Closed Access | Times Cited: 16

A Novel Adaptive Signal Processing Method Based on Enhanced Empirical Wavelet Transform Technology
Huimin Zhao, Shaoyan Zuo, Ming Liang Hou, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3323-3323
Open Access | Times Cited: 55

Rolling bearing fault diagnosis via STFT and improved instantaneous frequency estimation method
Dongdong Liu, Weidong Cheng, Weigang Wen
Procedia Manufacturing (2020) Vol. 49, pp. 166-172
Open Access | Times Cited: 46

Novel self-adaptive vibration signal analysis: Concealed component decomposition and its application in bearing fault diagnosis
Prashant Tiwari, Sanjay Upadhyay
Journal of Sound and Vibration (2021) Vol. 502, pp. 116079-116079
Closed Access | Times Cited: 39

Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions
Yifan Li, Yaocheng Yang, Yuejian Chen, et al.
ISA Transactions (2021) Vol. 119, pp. 172-183
Closed Access | Times Cited: 35

Identification and analysis of current signal characteristics of nuclear power pump units based on start-up process
Xiuli Wang, Shenpeng Yang, Yifan Zhi, et al.
Nuclear Engineering and Design (2025) Vol. 436, pp. 113985-113985
Closed Access

Reconstructed Order Analysis-Based Vibration Monitoring under Variable Rotation Speed by Using Multiple Blade Tip-Timing Sensors
Zhongsheng Chen, Jianhua Liu, Chi Zhan, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3235-3235
Open Access | Times Cited: 43

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