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:

A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning
Dina Elreedy, Amir F. Atiya, Firuz Kamalov
Machine Learning (2023) Vol. 113, Iss. 7, pp. 4903-4923
Open Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Gideon Vos, Kelly Trinh, Zoltán Sarnyai, et al.
International Journal of Medical Informatics (2023) Vol. 173, pp. 105026-105026
Open Access | Times Cited: 60

Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 24

The effect of rebalancing techniques on the classification performance in cyberbullying datasets
Marwa Khairy, Tarek M. Mahmoud, Tarek Abd El‐Hafeez
Neural Computing and Applications (2023) Vol. 36, Iss. 3, pp. 1049-1065
Open Access | Times Cited: 22

Misleading metrics in classification tasks: a closer look at negative predictive value in the context of post-ERCP pancreatitis prediction
Erfan Arabpour, Amir Sadeghi
Gastrointestinal Endoscopy (2025) Vol. 101, Iss. 3, pp. 692-693
Closed Access | Times Cited: 1

DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework
Ji-Hoon Jeong, Ingyu Lee, Sung-Kyung Kim, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2282-2293
Open Access | Times Cited: 6

Challenges and limitations of synthetic minority oversampling techniques in machine learning
Ibraheem M. Alkhawaldeh, Ibrahem Albalkhi, Abdulqadir Jeprel Naswhan
World Journal of Methodology (2023) Vol. 13, Iss. 5, pp. 373-378
Open Access | Times Cited: 13

Classification of Indonesian adult forensic gender using cephalometric radiography with VGG16 and VGG19: a Preliminary research
Vitria Wuri Handayani, Ahmad Yudianto, Mieke Sylvia M.A.R, et al.
Acta Odontologica Scandinavica (2024) Vol. 83, pp. 308-316
Open Access | Times Cited: 5

Novel Study for the Early Identification of Injury Risks in Athletes Using Machine Learning Techniques
Rocío Elizabeth Duarte Ayala, David Pérez-Granados, Carlos Alberto González Gutiérrez, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 570-570
Open Access | Times Cited: 4

Elastic Net – MLP – SMOTE (EMS)-Based Model for Enhancing Stroke Prediction
Hussam Mezher Merdas
Deleted Journal (2024), pp. 73-78
Open Access | Times Cited: 4

Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
Shake Ibna Abir, Shaharina Shoha, Sarder Abdulla Al Shiam, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 5, pp. 168-180
Open Access | Times Cited: 4

uitPDF-MalDe: Malicious Portable Document Format files detection using multi machine learning models
Nguyen Tan Cam, T. Hung, Pham Tien Nam
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110031-110031
Closed Access

Convolutional Neural Network for Depression and Schizophrenia Detection
Carlos H. Espino-Salinas, Huizilopoztli Luna-García, Alejandra Cepeda-Argüelles, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 319-319
Open Access

Addressing imbalance in health data: Synthetic minority oversampling using deep learning
Alex X. Wang, Viet-Tuan Le, Hau Nguyen Trung, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109830-109830
Open Access

Sentiment Analysis of Suicide on X Using Support Vector Machine and Naive Bayes Classifier Algorithms
M. Fariz Fadillah Mardianto, Bagas Shata Pratama, Marfa Audilla, et al.
INTENSIF Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi (2025) Vol. 9, Iss. 1, pp. 60-75
Open Access

Improving breast cancer classification in fine-grain ultrasound images through feature discrimination and a transfer learning approach
Fatemeh Taheri, Kambiz Rahbar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107690-107690
Closed Access

Improving GBDT performance on imbalanced datasets: An empirical study of class-balanced loss functions
Jiaqi Luo, Yuan Yuan, Shixin Xu
Neurocomputing (2025), pp. 129896-129896
Closed Access

An advanced data analytics approach to a cognitive cyber-physical system for the identification and mitigation of cyber threats in the medical internet of things (MIoT)
Y. A. Tang, Suchismita Mishra, Noha Alduaiji, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access

Drilling Condition Identification Method for Imbalanced Datasets
Yibing Yu, Huilin Yang, Fengjia Peng, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3362-3362
Open Access

Gamma Sampling for Intrusion Detection with Imbalanced Data
Firuz Kamalov, R.S. Mitra, Hana Sulieman
Lecture notes in computer science (2025), pp. 107-121
Closed Access

The Impact of Balancing Techniques and Feature Selection on Machine Learning Models for Diabetes Detection
Vahid Sinap
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 37, Iss. 1, pp. 303-320
Open Access

Machine-Learning-Based Automatic Metallographic Grading System for High-Gloss Anodized Aluminum Profiles
Xuda Xu, Feng Jiang, Lurong Li, et al.
Symmetry (2025) Vol. 17, Iss. 4, pp. 482-482
Open Access

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