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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:

SMOTE-LOF for noise identification in imbalanced data classification
Asniar Asniar, Nur Ulfa Maulidevi, Kridanto Surendro
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 6, pp. 3413-3423
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
Ebenezer Esenogho, Ibomoiye Domor Mienye, Theo G. Swart, et al.
IEEE Access (2022) Vol. 10, pp. 16400-16407
Open Access | Times Cited: 148
Performance analysis of cost-sensitive learning methods with application to imbalanced medical data
Ibomoiye Domor Mienye, Yanxia Sun
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100690-100690
Open Access | Times Cited: 113
RN-SMOTE: Reduced Noise SMOTE based on DBSCAN for enhancing imbalanced data classification
Ahmed Arafa, Nawal El‐Fishawy, Mohammed Badawy, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 8, pp. 5059-5074
Open Access | Times Cited: 69
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: 68
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 67
AWGAN: An adaptive weighting GAN approach for oversampling imbalanced datasets
Shaopeng Guan, Xiaoyan Zhao, Yuewei Xue, et al.
Information Sciences (2024) Vol. 663, pp. 120311-120311
Closed Access | Times Cited: 20
A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
Sarah A. Ebiaredoh-Mienye, Theo G. Swart, Ebenezer Esenogho, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 350-350
Open Access | Times Cited: 58
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
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
Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advanced cybersecurity
Md. Alamgir Hossain, Md. Saiful Islam
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Stroke classification based on deep reinforcement learning over stroke screening imbalanced data
Ting Zuo, Fenglian Li, Xueying Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109069-109069
Closed Access | Times Cited: 7
Qingxiangxing Baijiu sensory quality grade classification by 1H NMR and GC combined with multivariate statistical analysis
Shuangxi Fan, Yicong Li, Bo Yang, et al.
Food Control (2024) Vol. 162, pp. 110419-110419
Closed Access | Times Cited: 6
A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction
J G, A. T.
Automatika (2025) Vol. 66, Iss. 1, pp. 79-90
Open Access
Design of big data classifier optimization method based on improved particle swarm optimization algorithm
Shuwei Hu
Journal of Computational Methods in Sciences and Engineering (2025)
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
Rockburst Intensity Grade Prediction Based on Data Preprocessing Techniques and Multi-model Ensemble Learning Algorithms
Zhichao Jia, Yi Wang, Junhui Wang, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 7, pp. 5207-5227
Closed Access | Times Cited: 4
Class-imbalanced positive instances augmentation via three-line hybrid
Qi Dai, Jian‐wei Liu, Jiapeng Yang
Knowledge-Based Systems (2022) Vol. 257, pp. 109902-109902
Closed Access | Times Cited: 19
Oversampling framework based on sample subspace optimization with accelerated binary particle swarm optimization for imbalanced classification
Junnan Li
Applied Soft Computing (2024) Vol. 162, pp. 111708-111708
Closed Access | Times Cited: 3
An artificial intelligence-based decision support system for early and accurate diagnosis of Parkinson’s Disease
Mahesh Thyluru Ramakrishna, V. Kumar, Rajat Bhardwaj, et al.
Decision Analytics Journal (2023) Vol. 10, pp. 100381-100381
Open Access | Times Cited: 9
Clustering-based incremental learning for imbalanced data classification
Yuxin Liu, Guangyu Du, Chenke Yin, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111612-111612
Closed Access | Times Cited: 3
PDR-SMOTE: an imbalanced data processing method based on data region partition and K nearest neighbors
Hongfang Zhou, Zongling Wu, Ningning Xu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 12, pp. 4135-4150
Closed Access | Times Cited: 7
A heuristic‐based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data
Hatice Nizam Ozogur, Zeynep Orman
Expert Systems (2024) Vol. 41, Iss. 8
Open Access | Times Cited: 2
Sentiment Analysis of TikTok Shop Closure in Indonesia on Twitter Using Supervised Machine Learning
Noor Zalekha Al Habesyah, Rudy Herteno, Fatma Indriani, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2024) Vol. 6, Iss. 2, pp. 148-156
Open Access | Times Cited: 2
HGDO: An oversampling technique based on hypergraph recognition and Gaussian distribution
Liyan Jia, Zhiping Wang, Pengfei Sun, et al.
Information Sciences (2024) Vol. 679, pp. 120891-120891
Closed Access | Times Cited: 2
Enhancing SMOTE for imbalanced data with abnormal minority instances
Surani Matharaarachchi, Michael Domaratzki, Saman Muthukumarana
Machine Learning with Applications (2024), pp. 100597-100597
Open Access | Times Cited: 2
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