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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:

Improving Early Warning Systems with Categorized Course Resource Usage
R. Joseph Waddington, Sungjin Nam, Steven Lonn, et al.
Journal of Learning Analytics (2016) Vol. 3, Iss. 3, pp. 263-290
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

The current landscape of learning analytics in higher education
Olga Viberg, Mathias Hatakka, Olof Bälter, et al.
Computers in Human Behavior (2018) Vol. 89, pp. 98-110
Open Access | Times Cited: 559
Open learner models and learning analytics dashboards
Robert Bodily, Judy Kay, Vincent Aleven, et al.
(2018)
Open Access | Times Cited: 138
Contrasting prediction methods for early warning systems at undergraduate level
Emma Howard, Maria Meehan, Andrew Parnell
The Internet and Higher Education (2018) Vol. 37, pp. 66-75
Open Access | Times Cited: 123
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: 102
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: 81
Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy
Alejandro Peña‐Ayala
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 3
Closed Access | Times Cited: 58
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach
Jui-Long Hung, Brett E. Shelton, Juan Yang, et al.
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 148-157
Closed Access | Times Cited: 54
Predictive analytic models of student success in higher education
Ying Cui, Fu Chen, Ali Shiri, et al.
Information and Learning Sciences (2019) Vol. 120, Iss. 3/4, pp. 208-227
Closed Access | Times Cited: 43
Using Convolutional Neural Network to Recognize Learning Images for Early Warning of At-Risk Students
Zongkai Yang, Juan Yang, Kerry Rice, et al.
IEEE Transactions on Learning Technologies (2020) Vol. 13, Iss. 3, pp. 617-630
Closed Access | Times Cited: 42
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
Predicción de riesgo académico usando notas, asistencia a clases y clics en el LMS
Gabriel Zúñiga Varela, Carles Lindín, Teresa Sancho Vinuesa
Campus Virtuales (2025) Vol. 14, Iss. 1, pp. 83-83
Closed Access
E-book user modelling through learning analytics: the case of learner engagement and reading styles
Ivica Botički, Gökhan Akçapınar, Hiroaki Ogata
Interactive Learning Environments (2019) Vol. 27, Iss. 5-6, pp. 754-765
Closed Access | Times Cited: 24
An Integrated Framework Based on Latent Variational Autoencoder for Providing Early Warning of At-Risk Students
Xu Du, Juan Yang, Jui-Long Hung
IEEE Access (2020) Vol. 8, pp. 10110-10122
Open Access | Times Cited: 22
Improving predictive power through deep learning analysis of K-12 online student behaviors and discussion board content
Jui-Long Hung, Kerry Rice, Jennifer Kepka, et al.
Information Discovery and Delivery (2020) Vol. 48, Iss. 4, pp. 199-212
Closed Access | Times Cited: 18
Success/Failure Prediction for Final Examination Using the Trend of Weekly Online Testing
Hideo Hirose
2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) (2018) Vol. 48, pp. 139-145
Closed Access | Times Cited: 9
Integrating Students’ Behavioral Signals and Academic Profiles in Early Warning System
Sungjin Nam, Perry J. Samson
Lecture notes in computer science (2019), pp. 345-357
Closed Access | Times Cited: 9
Modeling Consistency Using Engagement Patterns in Online Courses
Jianing Zhou, Suma Bhat
(2021), pp. 226-236
Closed Access | Times Cited: 8
Difference Between Successful and Failed Students Learned from Analytics of Weekly Learning Check Testing
Hideo Hirose
Information Engineering Express (2018) Vol. 4, Iss. 1, pp. 11-21
Open Access | Times Cited: 8
Insights of Instructors and Advisors into an Early Prediction Model for Non-Thriving Students
Arnon Hershkovitz, Alex Ambrose
Journal of Learning Analytics (2022) Vol. 9, Iss. 2, pp. 202-217
Open Access | Times Cited: 5
Using Learning Analytics to Support Engagement in Collaborative Writing
Ming Liu, Abelardo Pardo, Liu Li
International Journal of Distance Education Technologies (2017) Vol. 15, Iss. 4, pp. 79-98
Open Access | Times Cited: 6
Attendance to Lectures is Crucial in Order not to Drop Out
Hideo Hirose
2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) (2018) Vol. 1, pp. 194-198
Closed Access | Times Cited: 6
Relationship Between Testing Time and Score in CBT
Hideo Hirose
International Journal of Learning Technologies and Learning Environments (2019) Vol. 2, Iss. 1, pp. 35-52
Open Access | Times Cited: 6
Learning Analytics in Higher Education
Rushil Raghavjee, Prabhakar Rontala Subramaniam, Irene Govender
Advances in electronic government, digital divide, and regional development book series (2020), pp. 398-431
Closed Access | Times Cited: 6
A Predictive System for Supporting At-Risk Students’ Identification
David Bañeres, Abdülkadir Karadeniz, Ana‐Elena Guerrero‐Roldán, et al.
Advances in intelligent systems and computing (2020), pp. 891-904
Closed Access | Times Cited: 5
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