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:

Survey on Highly Imbalanced Multi-class Data
Abdul Hamid, Marina Yusoff, Azlinah Mohamed
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 6
Open Access | Times Cited: 13

Showing 13 citing articles:

A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification
Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, et al.
Information Sciences (2024) Vol. 686, pp. 121193-121193
Closed Access | Times Cited: 6

Enhancing multilabel classification for unbalanced COVID-19 vaccination hesitancy tweets using ensemble learning
Sherine Nagy Saleh
Computers in Biology and Medicine (2024) Vol. 184, pp. 109437-109437
Closed Access | Times Cited: 2

Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort
Samir Hassoun, Chiara Bruckmann, Stefano Ciardullo, et al.
International Journal of Medical Informatics (2022) Vol. 170, pp. 104932-104932
Closed Access | Times Cited: 9

Development of a Classification Model for Predicting Student Payment Behavior Using Artificial Intelligence and Data Science Techniques
Henry Villarreal-Torres, Julio Ángeles-Morales, William Joel Marín Rodriguez, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access | Times Cited: 4

Biotite chemistry as an indicator of hydrothermal deposit types and fluid sources: Insights from big data compilation, multivariate statistical analysis, and machine learning
Abu Saeed Baidya, Giridas Maiti, Subhronil Mondal, et al.
Journal of Geochemical Exploration (2024) Vol. 259, pp. 107442-107442
Closed Access | Times Cited: 1

IMPROVING PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION USING OVERSAMPLING AND CHARACTERISTICS OF EACH CLUSTER
Phan Anh Phong, Lê Văn Thành
Vinh University Journal of Science (2024) Vol. 53, Iss. 3A, pp. 5-15
Closed Access

Increment of Academic Performance Prediction of At‐Risk Student by Dealing With Data Imbalance Problem
Cu Nguyen Giap, Thi-Lich Nghiem, Thi Thuy Ngo, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access

Deep Learning-based automated defect classification for Powder Bed Fusion – Laser Beam
Natalie Kunkel, Daniel Thölken, K. Behler
European Journal of Materials (2024) Vol. 4, Iss. 1
Open Access

A survey of recent machine learning techniques for stock prediction methodologies
Vijay Kumar Vishwakarma, Narayan P. Bhosale
Neural Computing and Applications (2024)
Closed Access

A data-driven machine learning approach for discovering potent LasR inhibitors
Christabel Ming Ming Koh, Lilian Siaw Yung Ping, Christopher Ha Heng Xuan, et al.
Bioengineered (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Novel Oversampling Algorithm for Handling Imbalanced Data Classification
Anjali S. More, Dipti P. Rana
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access

Setting up of a Machine Learning Algorithm for the Identification of Severe Liver Fibrosis Profile in the Asymptomatic Adult Population
Samir Hassoun, Chiara Bruckmann, Stefano Ciardullo, et al.
SSRN Electronic Journal (2022)
Closed Access

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