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 51-75 of 66 citing articles:

Using Multi-Objective Optimization to build non-Random Forest
Joanna Klikowska, Michał Woźniak
Logic Journal of IGPL (2024)
Closed Access

OMAD-6: Advancing Offshore Mariculture Monitoring with a Comprehensive Six-Type Dataset and Performance Benchmark
Zewen Mo, Yinyu Liang, Yulin Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4522-4522
Open Access

WrapperRL: Reinforcement Learning Agent for Feature Selection in High-Dimensional Industrial Data
Ibrahim Shaer, Abdallah Shami
IEEE Access (2024) Vol. 12, pp. 128338-128348
Open Access

Electroencephalogram Emotion Recognition via AUC Maximization
Minheng Xiao, Bo Shi
Algorithms (2024) Vol. 17, Iss. 11, pp. 489-489
Open Access

Under-sampling technique for imbalanced data using minimum sum of euclidean distance in principal component subset
Chatchai Kasemtaweechok, Worasait Suwannik
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 305-305
Open Access | Times Cited: 1

Review of Machine Learning Techniques For Class Imbalance Medical Data Set
Ahmad Hauwa Amshi, Asmau Usman, Rajesh Prasad, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 1

SMOTE-IF: A Novel Resampling Method Based on SMOTE Using Isolation Forest Variants for Multi-Class Imbalanced Data
Ang Li, Tingting Ma, Sen Ye, et al.
(2023), pp. 570-577
Closed Access | Times Cited: 1

RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 3

Uncertainty-Aware Resampling Method for Imbalanced Classification Using Evidence Theory
Fares Grina, Zied Elouedi, Éric Lefèvre
Lecture notes in computer science (2021), pp. 342-353
Closed Access | Times Cited: 2

Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach.
Kumari Deepshikha, Anugunj Naman
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1

An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets
Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen
Symmetry (2022) Vol. 14, Iss. 2, pp. 339-339
Open Access | Times Cited: 1

A New Approach for Employee Attrition Prediction
Lydia Douaidi, Hamamache Kheddouci
Lecture notes in computer science (2022), pp. 115-128
Closed Access | Times Cited: 1

Machine learning model performances for the Z boson mass
Ş. Yalçın
The European Physical Journal Plus (2023) Vol. 138, Iss. 1
Closed Access

CHARACTERIZATION OF MORTALITY PREDICTION: AN ENSEMBLE LEARNING ANALYSIS USING THE MIMIC-III DATASET
Anıl Burcu ÖZYURT SERİM
Journal of Scientific Reports-A (2023), Iss. 054, pp. 364-384
Open Access

A Majority Affiliation Based Under-Sampling Method for Class Imbalance Problem
Ying Xie, Xian Huang, Feng Qin, et al.
(2023)
Closed Access

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