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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:

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets
Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, et al.
IEEE Access (2019) Vol. 8, pp. 2122-2133
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks
Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 4006-4006
Open Access | Times Cited: 69
Minimizing the Overlapping Degree to Improve Class-Imbalanced Learning Under Sparse Feature Selection: Application to Fraud Detection
Fatima El Barakaz, Omar Boutkhoum, El Moutaouakkil Abdelmajid, et al.
IEEE Access (2021) Vol. 9, pp. 28101-28110
Open Access | Times Cited: 75
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
Min Li, An Xiong, Lei Wang, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105818-105818
Closed Access | Times Cited: 56
Two density-based sampling approaches for imbalanced and overlapping data
Sima Mayabadi, Hamid Saadatfar
Knowledge-Based Systems (2022) Vol. 241, pp. 108217-108217
Closed Access | Times Cited: 36
A comprehensive survey of text classification techniques and their research applications: Observational and experimental insights
Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, et al.
Computer Science Review (2024) Vol. 54, pp. 100664-100664
Open Access | Times Cited: 6
Learning With Imbalanced Data in Smart Manufacturing: A Comparative Analysis
Yasmin Fathy, Mona Jaber, Alexandra Brintrup
IEEE Access (2020) Vol. 9, pp. 2734-2757
Open Access | Times Cited: 43
A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health
Talha Iqbal, Pau Redon-Lurbe, Andrew J. Simpkin, et al.
IEEE Access (2021) Vol. 9, pp. 93567-93579
Open Access | Times Cited: 37
Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies
Arif Rahman Hakim, Kalamullah Ramli, M. Salman, et al.
IIUM Engineering Journal (2025) Vol. 26, Iss. 1, pp. 420-436
Open Access
Body Temperature Monitoring for Regular COVID-19 Prevention Based on Human Daily Activity Recognition
Lei Zhang, Yanjin Zhu, Mingliang Jiang, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7540-7540
Open Access | Times Cited: 31
No Free Lunch in imbalanced learning
Nuno Moniz, Hugo Monteiro
Knowledge-Based Systems (2021) Vol. 227, pp. 107222-107222
Closed Access | Times Cited: 27
Entropy and improved k‐nearest neighbor search based under‐sampling (ENU) method to handle class overlap in imbalanced datasets
Anil Kumar, Dinesh Singh, Rama Shankar Yadav
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 2
Closed Access | Times Cited: 11
Active learning with extreme learning machine for online imbalanced multiclass classification
Jiongming Qin, Cong Wang, Qinhong Zou, et al.
Knowledge-Based Systems (2021) Vol. 231, pp. 107385-107385
Closed Access | Times Cited: 18
Partial Discharge Diagnosis in GIS based on Pulse Sequence Features and Optimized Machine Learning Classification Techniques
Diaa‐Eldin A. Mansour, Ibrahim B. M. Taha, Rizwan A. Farade, et al.
Electric Power Systems Research (2022) Vol. 211, pp. 108162-108162
Closed Access | Times Cited: 10
GEP-based classifier for mining imbalanced data
Joanna Jędrzejowicz, Piotr Jędrzejowicz
Expert Systems with Applications (2020) Vol. 164, pp. 114058-114058
Closed Access | Times Cited: 14
An Improved MAHAKIL Oversampling Method for Imbalanced Dataset Classification
Yong Zhang, Tingting Zuo, Lichao Fang, et al.
IEEE Access (2020) Vol. 9, pp. 16030-16040
Open Access | Times Cited: 12
A New Graph-Based Method for Class Imbalance in Surface Defect Recognition
Yucheng Wang, Liang Gao, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-16
Closed Access | Times Cited: 11
Penerapan Metode Oversampling SMOTE Pada Algoritma Random Forest Untuk Prediksi Kebangkrutan Perusahaan
Agung Nugroho, Elkin Rilvani
Techno Com (2023) Vol. 22, Iss. 1, pp. 207-214
Open Access | Times Cited: 4
OPTIMIZATION NAÏVE BAYES ALGORITHM IN SENTIMENT ANALYSIS OF BUKALAPAK APP REVIEWS
Fajar Akmali, Andi Dwi Riyanto, Irma Darmayanti
SinkrOn (2024) Vol. 9, Iss. 1, pp. 145-151
Open Access | Times Cited: 1
A Survey Study on Proposed Solutions for Imbalanced Big Data
Shaymaa Ahmed Razoqi, Ghayda Al-Talib
Iraqi Journal of Science (2024), pp. 1648-1662
Open Access | Times Cited: 1
Local/Global explainability empowered expert-involved frameworks for essential tremor action recognition
Lei Zhang, Yanjin Zhu, Qin Ni, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106457-106457
Closed Access | Times Cited: 1
Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
Ju Young Lee, Yong Seong Lee, Jong Hyun Tae, et al.
Journal of Endourology (2024)
Closed Access | Times Cited: 1
An “Outside the Box” Solution for Imbalanced Data Classification
Hubert Jegierski, Stanisław Saganowski
IEEE Access (2020) Vol. 8, pp. 125191-125209
Open Access | Times Cited: 10
An evaluation of deep learning models for chargeback Fraud detection in online games
Yu-Chih Wei, You-Xin Lai, Mu‐En Wu
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 927-943
Closed Access | Times Cited: 7
State-of-the-Art in Performance Metrics and Future Directions for Data Science Algorithms
Ajay Sharma, Pramod Kumar Mishra
Journal of scientific research (2020) Vol. 64, Iss. 02, pp. 221-238
Open Access | Times Cited: 10
The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets
Zina Z. R. Al-Shamaa, Sefer Kurnaz, Adil Deniz Duru, et al.
Applied Bionics and Biomechanics (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 7
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