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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:

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
Rianne Conijn, Chris Snijders, Ad Kleingeld, et al.
IEEE Transactions on Learning Technologies (2016) Vol. 10, Iss. 1, pp. 17-29
Closed Access | Times Cited: 321

Showing 51-75 of 321 citing articles:

Automatic modeling learner’s personality using learning analytics approach in an intelligent Moodle learning platform
Ahmed Tlili, Mouna Denden, Fathi Essalmi, et al.
Interactive Learning Environments (2019) Vol. 31, Iss. 5, pp. 2529-2543
Closed Access | Times Cited: 48
Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs
Javier López-Zambrano, Juan A. Lara, Cristóbal Romero
Applied Sciences (2020) Vol. 10, Iss. 1, pp. 354-354
Open Access | Times Cited: 47
A supervised learning framework: using assessment to identify students at risk of dropping out of a MOOC
David Monllaó Olivé, Du Q. Huynh, Mark Reynolds, et al.
Journal of Computing in Higher Education (2019) Vol. 32, Iss. 1, pp. 9-26
Closed Access | Times Cited: 46
A Quest for a One-Size-Fits-All Neural Network: Early Prediction of Students at Risk in Online Courses
David Monllaó Olivé, Du Q. Huynh, Mark Reynolds, et al.
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 171-183
Closed Access | Times Cited: 46
Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data
Liang Zhao, Kun Chen, Jie Song, et al.
IEEE Access (2020) Vol. 9, pp. 5453-5465
Open Access | Times Cited: 45
Career Choice Prediction Based on Campus Big Data—Mining the Potential Behavior of College Students
Min Nie, Zhaohui Xiong, Ruiyang Zhong, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2841-2841
Open Access | Times Cited: 41
Feature Evaluation of Emerging E-Learning Systems Using Machine Learning: An Extensive Survey
Shabnam Mohamed Aslam, Abdul Khader Jilani, Jabeen Sultana, et al.
IEEE Access (2021) Vol. 9, pp. 69573-69587
Open Access | Times Cited: 38
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
Current stance on predictive analytics in higher education: opportunities, challenges and future directions
Rahila Umer, Teo Sušnjak, Anuradha Mathrani, et al.
Interactive Learning Environments (2021) Vol. 31, Iss. 6, pp. 3503-3528
Closed Access | Times Cited: 33
A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM
Abdulaziz Aljaloud, Diaa Uliyan, Adel Alkhalil, et al.
IEEE Access (2022) Vol. 10, pp. 85255-85265
Open Access | Times Cited: 28
A decade of learning analytics: Structural topic modeling based bibliometric analysis
Xieling Chen, Di Zou, Haoran Xie
Education and Information Technologies (2022) Vol. 27, Iss. 8, pp. 10517-10561
Closed Access | Times Cited: 25
Student achievement prediction using deep neural network from multi-source campus data
LI Xiao-yong, Yong Zhang, Huimin Cheng, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 6, pp. 5143-5156
Open Access | Times Cited: 25
Which log variables significantly predict academic achievement? A systematic review and meta‐analysis
Qin Wang, Amin Mousavi
British Journal of Educational Technology (2022) Vol. 54, Iss. 1, pp. 142-191
Closed Access | Times Cited: 25
Predicting Students at Risk of Dropout in Technical Course Using LMS Logs
Mariela Mizota Tamada, Rafael Giusti, José Francisco de Magalhães Netto
Electronics (2022) Vol. 11, Iss. 3, pp. 468-468
Open Access | Times Cited: 23
Exploring the relationship between LMS interactions and academic performance: A Learning Cycle approach
Ángel Hernández-García, Carlos Cuenca-Enrique, Laura Del-Río-Carazo, et al.
Computers in Human Behavior (2024) Vol. 155, pp. 108183-108183
Open Access | Times Cited: 6
Machine Learning-Based Analysis of Academic Performance Determinants in Somaliland: Insights from the 2021/2022 National Secondary School Exams
Mohamoud Jama Ali, Abdisalam Hassan Muse, Christophe Chesneau
Operations Research Forum (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 5
Idiographic artificial intelligence to explain students' self-regulation: Toward precision education
Mohammed Saqr, Rongxin Cheng, Sonsoles López‐Pernas, et al.
Learning and Individual Differences (2024) Vol. 114, pp. 102499-102499
Open Access | Times Cited: 5
How Can Predictive Learning Analytics and Motivational Interventions Increase Student Retention and Enhance Administrative Support in Distance Education?
Christothea Herodotou, Galina Naydenova, Avi Boroowa, et al.
Journal of Learning Analytics (2020) Vol. 7, Iss. 2
Open Access | Times Cited: 39
The validity and utility of activity logs as a measure of student engagement
Benjamin Motz, Joshua Quick, Noah L. Schroeder, et al.
(2019)
Closed Access | Times Cited: 38
Reflections on Different Learning Analytics Indicators for Supporting Study Success
Dirk Ifenthaler, Jane Yin-Kim Yau
International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) (2020) Vol. 2, Iss. 2, pp. 4-4
Open Access | Times Cited: 36
Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology
Roberto Bertolini, Stephen J. Finch, Ross H. Nehm
Journal of Science Education and Technology (2021) Vol. 30, Iss. 2, pp. 193-209
Closed Access | Times Cited: 30
The Effects of Online Learning on EFL Students’ Academic Achievement during Coronavirus Disease Pandemic
Cynthia Hidalgo-Camacho, Gloria Isabel Escudero, Wilma Villacís Villacís, et al.
European Journal of Educational Research (2021) Vol. volume-10-2021, Iss. volume-10-issue-4-october-2021, pp. 1867-1879
Open Access | Times Cited: 29
Application of Educational Data Mining Approach for Student Academic Performance Prediction Using Progressive Temporal Data
Ruangsak Trakunphutthirak, Vincent C. S. Lee
Journal of Educational Computing Research (2021) Vol. 60, Iss. 3, pp. 742-776
Closed Access | Times Cited: 28
Is there order in the mess? A single paper meta-analysis approach to identification of predictors of success in learning analytics
Mohammed Saqr, Jelena Jovanović, Olga Viberg, et al.
Studies in Higher Education (2022) Vol. 47, Iss. 12, pp. 2370-2391
Open Access | Times Cited: 21
Group-level analysis of engagement poorly reflects individual students’ processes: Why we need idiographic learning analytics
Mohammed Saqr
Computers in Human Behavior (2023) Vol. 150, pp. 107991-107991
Open Access | Times Cited: 12

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