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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:

An Early Feedback Prediction System for Learners At-Risk Within a First-Year Higher Education Course
David Bañeres, M. Elena Rodríguez, Montse Serra
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 249-263
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020
Fan Ouyang, Luyi Zheng, Pengcheng Jiao
Education and Information Technologies (2022) Vol. 27, Iss. 6, pp. 7893-7925
Closed Access | Times Cited: 384
Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century
Aras Bozkurt, Abdülkadir Karadeniz, David Bañeres, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 800-800
Open Access | Times Cited: 205
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
Fan Ouyang, Mian Wu, Luyi Zheng, et al.
International Journal of Educational Technology in Higher Education (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 144
Learning analytics dashboard: a tool for providing actionable insights to learners
Teo Sušnjak, Gomathy Ramaswami, Anuradha Mathrani
International Journal of Educational Technology in Higher Education (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 110
A systematic review of the role of learning analytics in enhancing feedback practices in higher education
Seyyed Kazem Banihashem, Omid Noroozi, Stan van Ginkel, et al.
Educational Research Review (2022) Vol. 37, pp. 100489-100489
Open Access | Times Cited: 106
Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks
Aya Nabil, Mohammed Seyam, Ahmed AbouElfetouh
IEEE Access (2021) Vol. 9, pp. 140731-140746
Open Access | Times Cited: 100
Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques
Janka Pecuchova, Martin Drlík
Applied Sciences (2021) Vol. 11, Iss. 7, pp. 3130-3130
Open Access | Times Cited: 79
An Early Warning System to Detect At-Risk Students in Online Higher Education
David Bañeres, M. Elena Rodríguez, Ana‐Elena Guerrero‐Roldán, et al.
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4427-4427
Open Access | Times Cited: 78
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 66
Staying on target: A systematic literature review on learner‐facing learning analytics dashboards
Natercia Valle, Pavlo Antonenko, Kara Dawson, et al.
British Journal of Educational Technology (2021) Vol. 52, Iss. 4, pp. 1724-1748
Closed Access | Times Cited: 57
Informative Feedback and Explainable AI-Based Recommendations to Support Students’ Self-regulation
Muhammad Afzaal, Aayesha Zia, Jalal Nouri, et al.
Technology Knowledge and Learning (2023) Vol. 29, Iss. 1, pp. 331-354
Open Access | Times Cited: 22
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: 9
Elements of Success: Supporting at-risk student resilience through learning analytics
J. M. Russell, Anna Marie Smith, Russell G. Larsen
Computers & Education (2020) Vol. 152, pp. 103890-103890
Closed Access | Times Cited: 64
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: 52
Predicting Academic Performance Using an Efficient Model Based on Fusion of Classifiers
Ansar Siddique, Asiya Jan, Fiaz Majeed, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11845-11845
Open Access | Times Cited: 47
Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students’ Learning Performance
Thao-Trang Huynh-Cam, Long‐Sheng Chen, Huynh M. Le
Algorithms (2021) Vol. 14, Iss. 11, pp. 318-318
Open Access | Times Cited: 40
Early prediction of learners at risk in self-paced education: A neural network approach
Hajra Waheed, Saeed‐Ul Hassan, Raheel Nawaz, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118868-118868
Closed Access | Times Cited: 32
Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems
Luiz Antonio Buschetto Macarini, Cristian Cechinel, Matheus Francisco Batista Machado, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5523-5523
Open Access | Times Cited: 53
Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection
Michael Geden, Andrew Emerson, Dan Carpenter, et al.
International Journal of Artificial Intelligence in Education (2020) Vol. 31, Iss. 1, pp. 1-23
Closed Access | Times Cited: 39
Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review
Khalid Alalawi, Rukshan Athauda, Raymond Chiong
Engineering Reports (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 13
Evaluating the student performance prediction and action framework through a learning analytics intervention study
Khalid Alalawi, Rukshan Athauda, Raymond Chiong, et al.
Education and Information Technologies (2024)
Open Access | Times Cited: 4
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
A Big Data Based Method for Pass Rates Optimization in Mathematics University Lower Division Courses
Cristian Camilo Chica Castaño, Fernando A. Morales, Carlos Osório, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Open Access
An In-Depth Bibliometric Analysis to Understand the Impact and Future of Artificial Intelligence in Higher Education
Hacer Yumurtacı Aydoğmuş, Ufuk Aydogmus, Yusuf Sait Türkan
Advances in educational technologies and instructional design book series (2025), pp. 117-152
Closed Access
PREDICTING ACEDEMIC PERFORMANCE OF HIGHER EDUCATION STUDENTS BASED ON THEIR POTENTIAL INTENTION AND BEHAVIOUR ANALYSIS USING AI
Palwinder Kaur Mangat, S. Kaur
SSRN Electronic Journal (2025)
Closed Access
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