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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:

Intelligent bearing faults diagnosis featuring Automated Relative Energy based Empirical Mode Decomposition and novel Cepstral Autoregressive features
Sumair Aziz, Muhammad Umar Khan, Muhammad Faraz, et al.
Measurement (2023) Vol. 216, pp. 112871-112871
Closed Access | Times Cited: 17

Showing 17 citing articles:

An efficient method for bearing fault diagnosis
G Geetha, P. Geethanjali
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 7
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Jingxin ZHAO, Wenming Wang, Ji Huang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Investigating the Effect of Vibration Signal Length on Bearing Fault Classification Using Wavelet Scattering Transform
Suparerk Janjarasjitt
Sensors (2025) Vol. 25, Iss. 3, pp. 699-699
Open Access
Machine learning‐based classification of multiple heart disorders from PCG signals
Muhammad Talal, Sumair Aziz, Muhammad Umar Khan, et al.
Expert Systems (2023) Vol. 40, Iss. 10
Closed Access | Times Cited: 7
A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings
Tao Liu, Xinsan Li, Junshuai Sun, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102766-102766
Closed Access | Times Cited: 2
A Fault Diagnosis Method for Ultrasonic Flow Meter Based on Kpca-Clssa-Svm
Ziyi Chen, Weiguo Zhao, Pingping Shen, et al.
(2024)
Closed Access | Times Cited: 1
Cross-Condition Intelligent Fault Diagnosis of Rolling Bearing Based on Rationle-Invariant Domain Adversarial Networks

Academic Journal of Engineering and Technology Science (2024) Vol. 7, Iss. 4
Open Access | Times Cited: 1
"Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain
Sumair Aziz, Muhammad Umar Khan, Niraj Hirachan, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-5
Closed Access | Times Cited: 3
A Fault Diagnosis Method for Ultrasonic Flow Meters Based on KPCA-CLSSA-SVM
Ziyi Chen, Weiguo Zhao, Pingping Shen, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 809-809
Open Access
Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time‐Frequency Analysis
Ahmed K. Ali, Wathiq Rafa Abed
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access
A novel Kalman smoothing (Ks) − Long Short-Term Memory (LSTM) hybrid model for filling in short- and long-term missing values in significant wave height
Yulian Wang, Taili Du, Yuanye Guo, et al.
Measurement (2024) Vol. 242, pp. 115947-115947
Closed Access
Bearing fault diagnosis based on novel hierarchical multiscale dispersion entropy in corresponding color block images
Zihan Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045523-045523
Closed Access
Bearing Fault Diagnosis Based on an Improved Morphological Filter
Xueping Ren, L. B. Guo, Fuqiang Qiu, et al.
Mechanisms and machine science (2024), pp. 226-237
Closed Access
CMFE-PVT: A lightweight fault diagnosis framework for rolling bearings using compact multi-scale feature extraction and a pruned-restructured vision transformer
Shanshan Ding, Weibing Wu, Xiaolu Ma, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 2, pp. 025015-025015
Closed Access
A depthwise separable convolution-based neural network for rolling bearing fault diagnosis
Rong Jiang, Chenxi Wu, Chao Zhong
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 6, pp. 4153-4170
Closed Access
Power of Cepstrum meets EMG: Detecting ALS and Myopathy
Faiza Afzal, Muhammad Umar Khan, Muhammad Faraz, et al.
(2023)
Closed Access
EMG-based Feature Engineering Approach for Load Classification
Malika Laraib Ul Hudda, Muhammad Umar Khan, Muhammad Faraz, et al.
(2023), pp. 1-6
Closed Access
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