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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:

The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study
Christothea Herodotou, Bart Rienties, Martin Hlosta, et al.
The Internet and Higher Education (2020) Vol. 45, pp. 100725-100725
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

E-Learning in the Teaching of Mathematics: An Educational Experience in Adult High School
Antonio José Moreno Guerrero, Inmaculada Aznar Díaz, María Pilar Cáceres Reche, et al.
Mathematics (2020) Vol. 8, Iss. 5, pp. 840-840
Open Access | Times Cited: 134
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
Sofia B. Dias, Sofia J. Hadjileontiadou, José Alves Diniz, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 95
Parental involvement, learning participation and online learning commitment of adolescent learners during the COVID-19 lockdown
Kehinde Clement Lawrence, Olubusayo Victor Fakuade
Research in Learning Technology (2021) Vol. 29
Open Access | Times Cited: 81
An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education
Tianchong Wang, Eric C. K. Cheng
Computers and Education Artificial Intelligence (2021) Vol. 2, pp. 100031-100031
Open Access | Times Cited: 64
The power of Deep Learning techniques for predicting student performance in Virtual Learning Environments: A systematic literature review
Bayan Alnasyan, Mohammed Basheri, Madini O. Alassafi
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100231-100231
Open Access | Times Cited: 13
Defining the Boundaries Between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence
Bart Rienties, Henrik Køhler Simonsen, Christothea Herodotou
Frontiers in Education (2020) Vol. 5
Open Access | Times Cited: 68
Applications of Learning Analytics in High Schools: A Systematic Literature Review
Erverson B. G. de Sousa, Bruno Alexandre Barreiros Rosa, Rafael Ferreira Mello, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 43
Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students
Irina Rets, Christothea Herodotou, Vaclav Bayer, et al.
International Journal of Educational Technology in Higher Education (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 42
Stakeholder Perspectives on the Ethics of AI in Distance-Based Higher Education
W. Holmes, Francisco Iniesto, Stamatina Anastopoulou, et al.
The International Review of Research in Open and Distributed Learning (2023) Vol. 24, Iss. 2, pp. 96-117
Open Access | Times Cited: 19
Intelligent techniques in e-learning: a literature review
Miloš Ilić, Vladimir Mikić, Lazar Kopanja, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14907-14953
Open Access | Times Cited: 18
COVID-19 and Disruption in Management and Education Academics: Bibliometric Mapping and Analysis
Margarida Rodrigues, Mário Franco, Rui Silva
Sustainability (2020) Vol. 12, Iss. 18, pp. 7362-7362
Open Access | Times Cited: 49
Predicting course achievement of university students based on their procrastination behaviour on Moodle
Yeongwook Yang, Danial Hooshyar, Margus Pedaste, et al.
Soft Computing (2020) Vol. 24, Iss. 24, pp. 18777-18793
Closed Access | Times Cited: 42
Modelling within‐person idiographic variance could help explain and individualize learning
Mohammed Saqr
British Journal of Educational Technology (2023) Vol. 54, Iss. 5, pp. 1077-1094
Open Access | Times Cited: 15
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 engagement of university teachers with predictive learning analytics
Christothea Herodotou, Claire Maguire, Nicola McDowell, et al.
Computers & Education (2021) Vol. 173, pp. 104285-104285
Open Access | Times Cited: 27
Personalisation methods in e‐learning‐A literature review
Vladimir Mikić, Miloš Ilić, Lazar Kopanja, et al.
Computer Applications in Engineering Education (2022) Vol. 30, Iss. 6, pp. 1931-1958
Closed Access | Times Cited: 19
Learning Analytics in the Era of Large Language Models
Elisabetta Mazzullo, Okan Bulut, Tarid Wongvorachan, et al.
Analytics (2023) Vol. 2, Iss. 4, pp. 877-898
Open Access | Times Cited: 11
Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns
Danial Hooshyar, Yeongwook Yang
Complexity (2025) Vol. 2025, Iss. 1
Open Access
How instructors use learning analytics: the pivotal role of pedagogy
Qiujie Li, Yeonji Jung, Alyssa Friend Wise
Journal of Computing in Higher Education (2025)
Open Access
Design Thinking as an Innovative Approach in a Project-Based Learning Context
Nasreddine Bouhaï
European Public & Social Innovation Review (2025) Vol. 10, pp. 1-19
Open Access
Digital learning in the 21st century: trends, challenges, and innovations in technology integration
Yu-xiu Zou, Florence Kuek, W. Z. Feng, et al.
Frontiers in Education (2025) Vol. 10
Open Access
Automated Educative Nudges to Reduce Missed Assignments in College
Benjamin Motz, Matthew G. Mallon, Joshua Quick
IEEE Transactions on Learning Technologies (2021) Vol. 14, Iss. 2, pp. 189-200
Open Access | Times Cited: 25
Factors and conditions that affect the goodness of machine learning models for predicting the success of learning
László Bognár, Tibor Fauszt
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100100-100100
Open Access | Times Cited: 16
Why Learning and Teaching Learning Analytics is Hard: An Experience from a Real-Life LA Course Using LA Methods
Mohammed Saqr, Sonsoles López‐Pernas
Lecture notes in educational technology (2024), pp. 781-789
Closed Access | Times Cited: 3
Learning analytics in higher education – Stakeholders, strategy and scale
Dragan Gašević, Yi‐Shan Tsai, Hendrik Drachsler
The Internet and Higher Education (2021) Vol. 52, pp. 100833-100833
Closed Access | Times Cited: 22
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