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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:

Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease
Pattaramon Vuttipittayamongkol, Eyad Elyan
International Journal of Neural Systems (2020) Vol. 30, Iss. 08, pp. 2050043-2050043
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

On the class overlap problem in imbalanced data classification
Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski
Knowledge-Based Systems (2020) Vol. 212, pp. 106631-106631
Open Access | Times Cited: 195
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Golrokh Mirzaei, Hojjat Adeli
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103293-103293
Closed Access | Times Cited: 141
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 89
On the joint-effect of class imbalance and overlap: a critical review
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 8, pp. 6207-6275
Closed Access | Times Cited: 73
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102272-102272
Open Access | Times Cited: 70
An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis
Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 49
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, et al.
Information Fusion (2022) Vol. 89, pp. 228-253
Open Access | Times Cited: 49
Class overlap handling methods in imbalanced domain: A comprehensive survey
A. Kumar, Dinesh Singh, Rama Shankar Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63243-63290
Closed Access | Times Cited: 11
Handling imbalanced medical datasets: review of a decade of research
Mabrouka Salmi, Dalia Atif, Diego Oliva, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 11
Two-step ensemble under-sampling algorithm for massive imbalanced data classification
Lin Bai, Tong Ju, Hao Wang, et al.
Information Sciences (2024) Vol. 665, pp. 120351-120351
Closed Access | Times Cited: 10
An Improved Hybrid Approach for Handling Class Imbalance Problem
Abeer S. Desuky, Sadiq Hussain
Arabian Journal for Science and Engineering (2021) Vol. 46, Iss. 4, pp. 3853-3864
Open Access | Times Cited: 49
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power
Peizhen Peng, Liping Xie, Haikun Wei
International Journal of Neural Systems (2021) Vol. 31, Iss. 08, pp. 2150022-2150022
Closed Access | Times Cited: 46
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals
Yanna Zhao, Gaobo Zhang, Changxu Dong, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 07, pp. 2150027-2150027
Closed Access | Times Cited: 41
RDPVR: Random Data Partitioning with Voting Rule for Machine Learning from Class-Imbalanced Datasets
Ahmad B. Hassanat, Ahmad S. Tarawneh, Samer Subhi Abed, et al.
Electronics (2022) Vol. 11, Iss. 2, pp. 228-228
Open Access | Times Cited: 32
CHSMOTE: Convex hull-based synthetic minority oversampling technique for alleviating the class imbalance problem
Xiaohan Yuan, Shuyu Chen, Han Zhou, et al.
Information Sciences (2022) Vol. 623, pp. 324-341
Closed Access | Times Cited: 29
A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms
Juan P. Amézquita-Sánchez, Nadia Mammone, Francesco Carlo Morabito, et al.
Clinical Neurology and Neurosurgery (2020) Vol. 201, pp. 106446-106446
Closed Access | Times Cited: 41
Antimicrobial Resistance and Machine Learning: Challenges and Opportunities
Eyad Elyan, Amir Hussain, Aziz Sheikh, et al.
IEEE Access (2022) Vol. 10, pp. 31561-31577
Open Access | Times Cited: 23
A membership-based resampling and cleaning algorithm for multi-class imbalanced overlapping data
Tingting Ma, Shuxia Lu, Chen Jiang
Expert Systems with Applications (2023) Vol. 240, pp. 122565-122565
Closed Access | Times Cited: 14
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
C. Jiménez-Mesa, Juan E. Arco, Meritxell Valentí‐Soler, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 13
Enhancing Precision in J/ψ Mass Estimation: A Study of Ensemble and Deep Learning Methods
Ş. Yalçın, Ayben Karasu Uysal, Mustafa Kaya
Computer Physics Communications (2025), pp. 109534-109534
Closed Access
Resampling approaches to handle class imbalance: a review from a data perspective
Miguel Martins Carvalho, Armando J. Pinho, Susana Brás
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Optimizing balanced accuracy in medical data threshold models
Benjamin F. Dribus, J.P. Hill, Neil Goldsmith, et al.
Discover Data (2025) Vol. 3, Iss. 1
Open Access
An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation
Fan Li, Bo Wang, Yinghua Shen, et al.
Information Sciences (2023) Vol. 637, pp. 118955-118955
Closed Access | Times Cited: 12
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
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 4
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