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:

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets
György Kovács
Applied Soft Computing (2019) Vol. 83, pp. 105662-105662
Closed Access | Times Cited: 235

Showing 1-25 of 235 citing articles:

Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers
Rahul Kumar, Ridhi Arora, Vipul Bansal, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 155

A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
Tarid Wongvorachan, Surina He, Okan Bulut
Information (2023) Vol. 14, Iss. 1, pp. 54-54
Open Access | Times Cited: 155

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques
Vinod Kumar, Gotam Singh Lalotra, P. Sasikala, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1293-1293
Open Access | Times Cited: 81

Stop Oversampling for Class Imbalance Learning: A Review
Ahmad S. Tarawneh, Ahmad B. Hassanat, Ghada Awad Altarawneh, et al.
IEEE Access (2022) Vol. 10, pp. 47643-47660
Open Access | Times Cited: 79

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: 71

Class-overlap undersampling based on Schur decomposition for Class-imbalance problems
Qi Dai, Jian‐wei Liu, Yonghui Shi
Expert Systems with Applications (2023) Vol. 221, pp. 119735-119735
Closed Access | Times Cited: 49

Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
Chih‐Fong Tsai, Kuan-Chen Chen, Wei‐Chao Lin
Applied Soft Computing (2024) Vol. 153, pp. 111267-111267
Closed Access | Times Cited: 15

KNNOR: An oversampling technique for imbalanced datasets
Ashhadul Islam, Samir Brahim Belhaouari, Atiq Ur Rehman, et al.
Applied Soft Computing (2021) Vol. 115, pp. 108288-108288
Open Access | Times Cited: 91

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
Vicente García, J. Salvador Sánchez, Ana I. Marqués, et al.
Expert Systems with Applications (2019) Vol. 158, pp. 113026-113026
Open Access | Times Cited: 87

A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment
Wen-hui Hou, Xiaokang Wang, Hong‐yu Zhang, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106462-106462
Closed Access | Times Cited: 74

SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm
Ahmad S. Tarawneh, Ahmad B. Hassanat, Khalid Almohammadi, et al.
IEEE Access (2020) Vol. 8, pp. 59069-59082
Open Access | Times Cited: 69

A New Oversampling Method Based on the Classification Contribution Degree
Zhenhao Jiang, Tingting Pan, Chao Zhang, et al.
Symmetry (2021) Vol. 13, Iss. 2, pp. 194-194
Open Access | Times Cited: 68

Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms
A. Mary Sowjanya, Owk Mrudula
Applied Nanoscience (2022) Vol. 13, Iss. 3, pp. 1829-1840
Open Access | Times Cited: 51

Automatic detection of pneumonia in chest X-ray images using textural features
César Antonio Ortiz Toro, Ángel García‐Pedrero, Mario Lillo‐Saavedra, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105466-105466
Open Access | Times Cited: 49

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

Extending business failure prediction models with textual website content using deep learning
Philipp Borchert, Kristof Coussement, Arno De Caigny, et al.
European Journal of Operational Research (2022) Vol. 306, Iss. 1, pp. 348-357
Open Access | Times Cited: 43

Instance weighted SMOTE by indirectly exploring the data distribution
Aimin Zhang, Hualong Yu, Shanlin Zhou, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108919-108919
Closed Access | Times Cited: 42

A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis
Min Qian, Yan‐Fu Li
IEEE Transactions on Reliability (2022) Vol. 71, Iss. 1, pp. 429-442
Open Access | Times Cited: 38

Understanding CNN fragility when learning with imbalanced data
Damien Dablain, Kristen N. Jacobson, Colin Bellinger, et al.
Machine Learning (2023) Vol. 113, Iss. 7, pp. 4785-4810
Open Access | Times Cited: 30

SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method
Ritika Kumari, Jaspreeti Singh, Anjana Gosain
Expert Systems with Applications (2023) Vol. 225, pp. 120102-120102
Closed Access | Times Cited: 27

Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment
Angela Serra, Michele Fratello, Luca Cattelani, et al.
Nanomaterials (2020) Vol. 10, Iss. 4, pp. 708-708
Open Access | Times Cited: 53

EHSO: Evolutionary Hybrid Sampling in overlapping scenarios for imbalanced learning
Yuanwei Zhu, Yuanting Yan, Yiwen Zhang, et al.
Neurocomputing (2020) Vol. 417, pp. 333-346
Closed Access | Times Cited: 52

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