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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:

Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
Elsie Fezeka Swana, Wesley Doorsamy, Pitshou N. Bokoro
Sensors (2022) Vol. 22, Iss. 9, pp. 3246-3246
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 89
A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 127783-127799
Open Access | Times Cited: 53
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization
Shen Yan, Xiang Zhong, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109522-109522
Open Access | Times Cited: 47
Anomaly detection in IoT-based healthcare: machine learning for enhanced security
Maryam Mahsal Khan, Mohammed Alkhathami
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 471-471
Open Access | Times Cited: 3
An Oversampling Method of Unbalanced Data for Mechanical Fault Diagnosis Based on MeanRadius-SMOTE
Feng Duan, Shuai Zhang, Yinze Yan, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5166-5166
Open Access | Times Cited: 40
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
Yage Yuan, Jianan Wei, Haisong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106911-106911
Closed Access | Times Cited: 32
Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms
Durgesh Nandini, Jyoti Yadav, Asha Rani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104894-104894
Closed Access | Times Cited: 23
Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP
Feng Wang, Xinyue Wang, Sai Li
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0318835-e0318835
Open Access | Times Cited: 1
Median-KNN Regressor-SMOTE-Tomek Links for Handling Missing and Imbalanced Data in Air Quality Prediction
Winoto Chandra, Bambang Suprihatin, Yulia Resti
Symmetry (2023) Vol. 15, Iss. 4, pp. 887-887
Open Access | Times Cited: 22
Multiple faults diagnosis for an industrial robot fuse quality test bench using deep-learning
Hosameldin Eltayeb A. Adam, James Kuria Kimotho, Jackson G. Njiri
Results in Engineering (2023) Vol. 17, pp. 101007-101007
Open Access | Times Cited: 20
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method
Nasraldeen Alnor Adam Khleel, Károly Nehéz
Journal of Intelligent Information Systems (2023) Vol. 60, Iss. 3, pp. 673-707
Open Access | Times Cited: 19
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning
Qin Zhao, Yu Ding, Chen Lü, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121001-121001
Closed Access | Times Cited: 18
A fault diagnosis method for nuclear power plants rotating machinery based on deep learning under imbalanced samples
Wenzhe Yin, Hong Xia, Xueying Huang, et al.
Annals of Nuclear Energy (2024) Vol. 199, pp. 110340-110340
Closed Access | Times Cited: 7
An overlapping minimization-based over-sampling algorithm for binary imbalanced classification
Xuan Lu, Xuan Ye, Yingchao Cheng
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108107-108107
Closed Access | Times Cited: 7
Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis
Fatih Gürcan, Ahmet Soylu
Cancers (2024) Vol. 16, Iss. 19, pp. 3417-3417
Open Access | Times Cited: 7
Identification of high-risk roadway segments for wrong-way driving crash using rare event modeling and data augmentation techniques
Md Tanvir Ashraf, Kakan Dey, Sabyasachee Mishra
Accident Analysis & Prevention (2022) Vol. 181, pp. 106933-106933
Closed Access | Times Cited: 28
A Survey of Incremental Deep Learning for Defect Detection in Manufacturing
Reenu Mohandas, Mark Southern, Eoin O’Connell, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 1, pp. 7-7
Open Access | Times Cited: 6
Predicting the risk of lung cancer using machine learning: A large study based on UK Biobank
Siqi Zhang, Liangwei Yang, Weiwen Xu, et al.
Medicine (2024) Vol. 103, Iss. 16, pp. e37879-e37879
Open Access | Times Cited: 6
Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
Digital Health (2024) Vol. 10
Open Access | Times Cited: 5
A Novel Identification Approach Using RFECV–Optuna–XGBoost for Assessing Surrounding Rock Grade of Tunnel Boring Machine Based on Tunneling Parameters
Kebin Shi, R Shi, Tao Fu, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2347-2347
Open Access | Times Cited: 4
All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values
Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, et al.
Diabetology (2025) Vol. 6, Iss. 1, pp. 5-5
Open Access
Dual inhibition of AChE and MAO-B in Alzheimer’s disease: machine learning approaches and model interpretations
Qinghe Hou, Yan Li
Molecular Diversity (2025)
Open Access
LD-SMOTE: A Novel Local Density Estimation-Based Oversampling Method for Imbalanced Datasets
Jing Lyu, Jie Yang, Zhixun Su, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 160-160
Open Access
Analyzing different household energy use patterns using clustering and machine learning
Xuerong Cui, Minhyun Lee, Mohammad Nyme Uddin, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115335-115335
Closed Access
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