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:

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

Showing 11 citing articles:

Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1132-1132
Open Access | Times Cited: 1

Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification
Zhiwen Yu, Wuxing Chen, Kaixiang Yang, et al.
(2025)
Closed Access

Quantum deep learning in neuroinformatics: a systematic review
Nabil Anan Orka, Md. Abdul Awal, Píetro Lió, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access

Comparative Analysis of Random Forest and Logistic Regression for Heart Attack Risk Prediction
Nilakshman Sooriyaperakasam, Hassan Emami, Parinaz Entezam, et al.
Deleted Journal (2024) Vol. 3, Iss. 5, pp. 18-23
Closed Access | Times Cited: 1

Ensemble Learning Approaches for Automatic Prediction of COPD Based on Clinical Data
Tae Gwan Jang, So Yeon Park, H. Park, et al.
Digital Health Research (2024) Vol. 2, Iss. 3
Closed Access

Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models
Mohammad Amin Bazrafshan, Kourosh Sayehmiri
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access

The potential of GPT-4 advanced data analysis (ADA) for radiomics-based machine learning models
Martha Foltyn‐Dumitru, Aditya Rastogi, Jae Young Cho, et al.
Neuro-Oncology Advances (2024)
Open Access

MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization
Emmanuel Pintelas, Ioannis E. Livieris, Basil Tampakas, et al.
Big Data and Cognitive Computing (2024) Vol. 9, Iss. 1, pp. 2-2
Open Access

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