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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:

A two-phase machine learning approach for predicting student outcomes
Omiros Iatrellis, Ilias Κ. Savvas, Panos Fitsilis, et al.
Education and Information Technologies (2020) Vol. 26, Iss. 1, pp. 69-88
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Abdallah Namoun, Abdullah Alshanqiti
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 237-237
Open Access | Times Cited: 296
Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education
Monika Hooda, Chhavi Rana, Omdev Dahiya, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 183
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
Nabila Sghir, Amina Adadi, Mohammed Lahmer
Education and Information Technologies (2022) Vol. 28, Iss. 7, pp. 8299-8333
Open Access | Times Cited: 108
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Pratiyush Guleria, Manu Sood
Education and Information Technologies (2022) Vol. 28, Iss. 1, pp. 1081-1116
Open Access | Times Cited: 76
An artificial intelligence approach to monitor student performance and devise preventive measures
Ijaz Ali Khan, Abdul Rahim Ahmad, Nafaâ Jabeur, et al.
Smart Learning Environments (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 96
Use of Artificial Intelligence in Education
Ayşe Alkan
İnsan ve Toplum Bilimleri Araştırmaları Dergisi (2024) Vol. 13, Iss. 1, pp. 483-497
Open Access | Times Cited: 12
Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature
Kiran Fahd, Sitalakshmi Venkatraman, Shah Jahan Miah, et al.
Education and Information Technologies (2021) Vol. 27, Iss. 3, pp. 3743-3775
Open Access | Times Cited: 54
Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Halit Karalar, Ceyhun Kapucu, Hüseyin Gürüler
International Journal of Educational Technology in Higher Education (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 53
Predicting student performance in a blended learning environment using learning management system interaction data
Kiran Fahd, Shah Jahan Miah, Khandakar Ahmed
Applied Computing and Informatics (2021)
Open Access | Times Cited: 34
Evaluation of postgraduate academic performance using artificial intelligence models
Yahia Baashar, Yaman Hamed, Gamal Alkawsi, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 9867-9878
Open Access | Times Cited: 26
Multi-Class Phased Prediction of Academic Performance and Dropout in Higher Education
M.V. Martins, Luís Baptista, Jorge Machado, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4702-4702
Open Access | Times Cited: 14
Prediction of Student Performance Using Random Forest Combined With Naïve Bayes
Youness Manzali, Yassine Akhiat, Khalidou Abdoulaye Barry, et al.
The Computer Journal (2024) Vol. 67, Iss. 8, pp. 2677-2689
Closed Access | Times Cited: 5
Identifying At-Risk Students for Early Intervention—A Probabilistic Machine Learning Approach
Eli Nimy, Moeketsi Mosia, Colin Chibaya
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3869-3869
Open Access | Times Cited: 13
An Artificial Intelligence Approach to Monitor and Predict Student Academic Performance
Nor Hafiza Haron, Ramlan Mahmood, Noornajwa Md Amin, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 44, Iss. 1, pp. 105-119
Open Access | Times Cited: 4
Predicting Students' Final Performance Using Artificial Neural Networks
Tarik Ahajjam, Mohammed Moutaib, Haidar Aissa, et al.
Big Data Mining and Analytics (2022) Vol. 5, Iss. 4, pp. 294-301
Open Access | Times Cited: 18
Retention Factors in STEM Education Identified Using Learning Analytics: A Systematic Review
Chunping Li, Nicole Herbert, Soonja Yeom, et al.
Education Sciences (2022) Vol. 12, Iss. 11, pp. 781-781
Open Access | Times Cited: 18
Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models
Balqis Albreiki, Tetiana Habuza, Nazar Zaki
International Journal of Educational Technology in Higher Education (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 17
A systematic literature review: Recent techniques of predicting STEM stream students
Norismiza Ismail, Umi Kalsom Yusof
Computers and Education Artificial Intelligence (2023) Vol. 5, pp. 100141-100141
Open Access | Times Cited: 10
Predicting learning achievement using ensemble learning with result explanation
Tingting Tong, Zhen Li
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0312124-e0312124
Open Access
Predictive insights into U.S. students’ mathematics performance on PISA 2022 using ensemble tree-based machine learning models
Li Zhu, Hye Sun You, Minju Hong, et al.
International Journal of Educational Research (2025) Vol. 130, pp. 102537-102537
Closed Access
A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Big data management (2023), pp. 43-94
Open Access | Times Cited: 9
Integration and Optimization of Educational Teaching Resources in Colleges and Universities Based on Clustering Algorithm
Shiyuan Ren
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2156-2165
Open Access | Times Cited: 3
Cloud computing and semantic web technologies for ubiquitous management of smart cities-related competences
Omiros Iatrellis, Theodor Panagiotakopoulos, Vassilis C. Gerogiannis, et al.
Education and Information Technologies (2020) Vol. 26, Iss. 2, pp. 2143-2164
Closed Access | Times Cited: 22
Predicting the percentage of student placement: A comparative study of machine learning algorithms
Erman Çakıt, Metin Dağdeviren
Education and Information Technologies (2021) Vol. 27, Iss. 1, pp. 997-1022
Closed Access | Times Cited: 19
Design of a Cognitive Knowledge Representation Model to Assess the Reasoning Levels of Primary School Children
M. Srivani, Abirami Murugappan
Expert Systems with Applications (2023) Vol. 231, pp. 120604-120604
Closed Access | Times Cited: 8
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