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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:

All-Year Dropout Prediction Modeling and Analysis for University Students
Zihan Song, Sang-Ha Sung, Do-Myung Park, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1143-1143
Open Access | Times Cited: 25

Showing 25 citing articles:

Predicting student dropouts with machine learning: An empirical study in Finnish higher education
Matti Vaarma, Hongxiu Li
Technology in Society (2024) Vol. 76, pp. 102474-102474
Open Access | Times Cited: 11
An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention
Khalid Alalawi, Rukshan Athauda, Raymond Chiong
International Journal of Artificial Intelligence in Education (2024)
Open Access | Times Cited: 4
Clustering based pre-processing for feature reduction and robust student dropout classification
Nisha C. Rani, Venkata Suresh Pachigolla, Akshay Kumar
International Journal of Information Technology (2025)
Closed Access
Exploring Feature Reduction for Dropout Predicting in Higher Education in Brazil
André Menolli, Gustavo Marcelino Dionísio, Alan Floriano, et al.
Revista Brasileira de Informática na Educação (2025) Vol. 33, pp. 106-129
Open Access
Predicting Online Education Dropout: A new Machine Learning Model based on Sentiment Analysis, Socio-demographic, and Behavioral Data
Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui, et al.
International Journal of Artificial Intelligence in Education (2025)
Closed Access
Designing an Education Database in a Higher Education Institution for the Data-Driven Management of the Educational Process
Tatiana A. Kustitskaya, Roman V. Esin, А. А. Кытманов, et al.
Education Sciences (2023) Vol. 13, Iss. 9, pp. 947-947
Open Access | Times Cited: 10
Predictive Modeling of Student Behavior for Early Dropout Detection in Universities using Machine Learning Techniques
Anupama Prasanth, Haitham Al-Qahtani
2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS) (2023), pp. 1-5
Closed Access | Times Cited: 8
Optimised SMOTE-based Imbalanced Learning for Student Dropout Prediction
Sheikh Wakie Masood, Munmi Gogoi, Shahin Ara Begum
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
Predicting Student Attrition in University Courses
László Bognár
(2024), pp. 129-157
Closed Access | Times Cited: 1
Predictive modelling of student dropout risk: Practical insights from a South Korean distance university
Eui-Yeong Seo, Jaemo Yang, Ji-Eun Lee, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e30960-e30960
Open Access | Times Cited: 1
Quantum Course Prophet: Quantum Machine Learning for Predicting Course Failures: A Case Study on Numerical Methods
Isaac Caicedo-Castro
Lecture notes in computer science (2024), pp. 220-240
Closed Access | Times Cited: 1
Course Prophet: A System for Predicting Course Failures with Machine Learning: A Numerical Methods Case Study
Isaac Caicedo-Castro
Sustainability (2023) Vol. 15, Iss. 18, pp. 13950-13950
Open Access | Times Cited: 3
Exploring statistical approaches for predicting student dropout in education: a systematic review and meta-analysis
Raghul Gandhi Venkatesan, Dhivya Karmegam, Bagavandas Mappillairaju
Journal of Computational Social Science (2023) Vol. 7, Iss. 1, pp. 171-196
Closed Access | Times Cited: 3
Unlocking Enigmatic Pathways: Empowering Student Dropout Analysis with Machine Learning and Energizing Holistic Investigation
Dhruvkumar Patel, Kovil Savaj, Prince Malani, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
A Novel Approach Based on Fuzzy Rule and LSOWL–CNN Forecasting Students with Dropout Prediction and Recommendation Model
Marina Bertolini, A. Senthilrajan
Wireless Personal Communications (2024) Vol. 136, Iss. 1, pp. 61-80
Closed Access
Student At-Risk Identification and Classification Through Multitask Learning: A Case Study on the Moroccan Education System
Ismail Elbouknify, Ismaïl Berrada, Loubna Mekouar, et al.
Lecture notes in computer science (2024), pp. 372-380
Closed Access
Cognitive motivational variables and dropout intention as precursors of university dropout
Yaranay López-Angulo, Rubia Cobo‐Rendón, Fabiola Sáez-Delgado, et al.
Frontiers in Education (2024) Vol. 9
Open Access
End-to-End CNN conceptual model for a biometric authentication mechanism for ATM machines
Karthikeyan Velayuthapandian, N. Arul Murugan, Saranya Paramasivan
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access
Advancing elderly social care dropout prediction with federated learning: client selection and imbalanced data management
Christos Chrysanthos Nikolaidis, Pavlos S. Efraimidis
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access
A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk
Huong Nguyen Thi Cam, Aliza Sarlan, Noreen Izza Arshad
PeerJ Computer Science (2024) Vol. 10, pp. e2572-e2572
Open Access
PREDICTION ACCURACY ANALYSIS OF MACHINE LEARNING CLASSIFIERS ON STUDENT COURSE ASSESSMENT METHODS
Godwin A. Otu, Oludele Awodele, Sola A. Adeniji, et al.
FUDMA Journal of Sciences (2024) Vol. 8, Iss. 6, pp. 288-298
Closed Access
Implementation of Artificial Neural Networks and Machine Learning Algorithms to Evaluate and Predict Educational Student Dropout Metrics
Sanjit Kakarla, Daniel Mahany
(2024), pp. 102-106
Closed Access
Course Prophet: A Machine Learning-Based System for Early Prediction of Student Failure in Numerical Methods Course in the Bachelor’s Degree in Engineering at the University of Córdoba, Colombia
Isaac Caicedo-Castro
(2023)
Open Access | Times Cited: 1
Adequação psicométrica de uma escala de medida de propensão à evasão
Adriana Cioato Ferrazza, Jeovani Schmitt, Dalton Francisco de Andrade, et al.
Estudos em Avaliação Educacional (2023) Vol. 34, pp. e09362-e09362
Open Access
Predicción y prevención de deserción escolar mediante I.A.: Una revisión a fin de identificar modelos y factores relevantes.
Juan Paulo Alarcón Carreño, Diego Andrés Martinez, Diana Emilce Ramirez Páez
I+ T+ C- Research Technology and Science (2023) Vol. 1, Iss. 17
Closed Access
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