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:

Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs
Pedro Manuel Moreno-Marcos, Pedro J. Muñoz‐Merino, Jorge Maldonado‐Mahauad, et al.
Computers & Education (2019) Vol. 145, pp. 103728-103728
Closed Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

Promoting Self-Regulation Progress and Knowledge Construction in Blended Learning via ChatGPT-Based Learning Aid
Ting‐Ting Wu, Hsin‐Yu Lee, Pin‐Hui Li, et al.
Journal of Educational Computing Research (2023) Vol. 61, Iss. 8, pp. 3-31
Closed Access | Times Cited: 76

Self-regulation of learning and MOOC retention
Charo Repáraz Abaitua, Maite Aznárez‐Sanado, Guillermo Mendoza
Computers in Human Behavior (2020) Vol. 111, pp. 106423-106423
Closed Access | Times Cited: 111

The use of metacognitive strategies for undisrupted online learning: Preparing university students in the age of pandemic
Lilian Anthonysamy
Education and Information Technologies (2021) Vol. 26, Iss. 6, pp. 6881-6899
Open Access | Times Cited: 81

Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform
Dongho Kim, Yongseok Lee, Walter L. Leite, et al.
Computers & Education (2020) Vol. 156, pp. 103961-103961
Closed Access | Times Cited: 72

Taking action to reduce dropout in MOOCs: Tested interventions
Inma Borrella, Sergio Caballero-Caballero, Eva Ponce-Cueto
Computers & Education (2021) Vol. 179, pp. 104412-104412
Closed Access | Times Cited: 59

Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk
Hani Brdesee, Wafaa Alsaggaf, Naif Radi Aljohani, et al.
International Journal on Semantic Web and Information Systems (2022) Vol. 18, Iss. 1, pp. 1-21
Open Access | Times Cited: 38

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: 10

On the development of blockchain-based learning management system as a metacognitive tool to support self-regulation learning in online higher education
Zohreh Saadati, Canan Perkan Zeki, Reza Vatankhah Barenji
Interactive Learning Environments (2021) Vol. 31, Iss. 5, pp. 3148-3171
Closed Access | Times Cited: 54

Understanding students’ self-regulated learning and anxiety in online English courses in higher education
Aisah Apridayani, Wei Han, Budi Waluyo
Heliyon (2023) Vol. 9, Iss. 6, pp. e17469-e17469
Open Access | Times Cited: 17

Recent trends in computational intelligence for educational big data analysis
Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe
Iran Journal of Computer Science (2023) Vol. 7, Iss. 1, pp. 103-129
Closed Access | Times Cited: 16

Improving learner engagement in MOOCs using a learning intervention system: A research study in engineering education
Ruth Cobos, Juan Carlos Ruiz-García
Computer Applications in Engineering Education (2020) Vol. 29, Iss. 4, pp. 733-749
Closed Access | Times Cited: 44

Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
Antonio Jesús Fernández‐García, Roberto Rodríguez-Echeverría, Juan Carlos Preciado, et al.
IEEE Access (2020) Vol. 8, pp. 189069-189088
Open Access | Times Cited: 43

INVESTIGATING SELF-REGULATED LEARNING STRATEGIES FOR DIGITAL LEARNING RELEVANCY
Lilian Anthonysamy, Ah Choo Koo, Hew Soon Hin
Malaysian Journal of Learning and Instruction (2021) Vol. 18
Open Access | Times Cited: 39

Early prediction of MOOC dropout in self-paced students using deep learning
Wen Xiao, Juan Hu
Interactive Learning Environments (2024), pp. 1-18
Closed Access | Times Cited: 5

Evaluation of traditional machine learning algorithms for featuring educational exercises
Alberto Jiménez, Pedro J. Muñoz‐Merino, Pedro Manuel Moreno-Marcos, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Open Access

Design of a Distance Learning Supervision System Based on Time-Series Data of Learning Behaviors
Yan Zhu
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 2, pp. 337-348
Open Access

The Persistence Puzzle: Bibliometric Insights into Dropout in MOOCs
Irina Daniela L. Cismasu, Bianca Cibu, Liviu‐Adrian Cotfas, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 2952-2952
Open Access

Untangling chaos in discussion forums: A temporal analysis of topic-relevant forum posts in MOOCs
Bokai Yang, Hengtao Tang, Ling Hao, et al.
Computers & Education (2021) Vol. 178, pp. 104402-104402
Closed Access | Times Cited: 27

Using fair AI to predict students’ math learning outcomes in an online platform
Chenglu Li, Wanli Xing, Walter L. Leite
Interactive Learning Environments (2022) Vol. 32, Iss. 3, pp. 1117-1136
Closed Access | Times Cited: 20

Self-Regulated Learning Strategies in Continuing Education: A Systematic Review and Meta-Analysis
Yvonne M. Hemmler, Dirk Ifenthaler
Educational Research Review (2024) Vol. 45, pp. 100629-100629
Open Access | Times Cited: 4

On the Effectiveness of Self-Training in MOOC Dropout Prediction
Yamini Goel, Rinkaj Goyal
Open Computer Science (2020) Vol. 10, Iss. 1, pp. 246-258
Open Access | Times Cited: 31

Dropout prediction model in MOOC based on clickstream data and student sample weight
Cong Jin
Soft Computing (2021) Vol. 25, Iss. 14, pp. 8971-8988
Closed Access | Times Cited: 26

Impact of Using ICT for Learning Purposes on Self-Efficacy and Persistence: Evidence from Pisa 2018
Rikito Hori, Makoto Fujii
Sustainability (2021) Vol. 13, Iss. 11, pp. 6463-6463
Open Access | Times Cited: 26

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