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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:

Educational Data Mining and Learning Analytics in Programming
Petri Ihantola, Arto Vihavainen, Alireza Ahadi, et al.
(2015), pp. 41-63
Open Access | Times Cited: 291

Showing 1-25 of 291 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
Introductory programming: a systematic literature review
Andrew Luxton-Reilly, Norma P. Simon, Ibrahim Albluwi, et al.
(2018), pp. 55-106
Open Access | Times Cited: 400
Predicting academic performance: a systematic literature review
Arto Hellas, Petri Ihantola, Andrew Petersen, et al.
(2018), pp. 175-199
Open Access | Times Cited: 274
Compiler Error Messages Considered Unhelpful
Brett A. Becker, Paul Denny, Raymond Pettit, et al.
(2019), pp. 177-210
Closed Access | Times Cited: 155
Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests
Arto Hellas, Juho Leinonen, Sami Sarsa, et al.
(2023), pp. 93-105
Open Access | Times Cited: 72
Generative AI in Computing Education: Perspectives of Students and Instructors
Cynthia Zastudil, Magdalena Rogalska, Christine Kapp, et al.
2021 IEEE Frontiers in Education Conference (FIE) (2023), pp. 1-9
Open Access | Times Cited: 50
Novice Programmers and Introductory Programming
Anthony Robins
Cambridge University Press eBooks (2019), pp. 327-376
Closed Access | Times Cited: 138
Learning analytics in higher education: an analysis of case studies
Billy Tak Ming Wong
AAOU Journal/AAOU journal (2017) Vol. 12, Iss. 1, pp. 21-40
Open Access | Times Cited: 129
Metacognitive Difficulties Faced by Novice Programmers in Automated Assessment Tools
James Prather, Raymond Pettit, Kayla Holcomb McMurry, et al.
(2018), pp. 41-50
Closed Access | Times Cited: 102
The Cambridge Handbook of Computing Education Research
Sally Fincher, Sally Fincher, Sally Fincher, et al.
Cambridge University Press eBooks (2019)
Closed Access | Times Cited: 101
A Survey on Online Judge Systems and Their Applications
Szymon Wąsik, Maciej Antczak, Jan Badura, et al.
ACM Computing Surveys (2018) Vol. 51, Iss. 1, pp. 1-34
Open Access | Times Cited: 92
Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints
David Azcona, I‐Han Hsiao, Alan F. Smeaton
User Modeling and User-Adapted Interaction (2019) Vol. 29, Iss. 4, pp. 759-788
Closed Access | Times Cited: 92
Novice Java Programming Mistakes
Neil C. C. Brown, Amjad Altadmri
ACM Transactions on Computing Education (2017) Vol. 17, Iss. 2, pp. 1-21
Open Access | Times Cited: 89
Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming
Filipe Dwan Pereira, Elaine Oliveira, David Braga Fernandes de Oliveira, et al.
British Journal of Educational Technology (2020) Vol. 51, Iss. 4, pp. 955-972
Open Access | Times Cited: 84
Comparison of learning analytics and educational data mining: A topic modeling approach
David John Lemay, Clare Baek, Tenzin Doleck
Computers and Education Artificial Intelligence (2021) Vol. 2, pp. 100016-100016
Open Access | Times Cited: 82
What Are Cybersecurity Education Papers About?
Valdemar Švábenský, Jan Vykopal, Pavel Čeleda
(2020), pp. 2-8
Open Access | Times Cited: 77
How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature Review
Catarina Oliveira, Sónia Rolland Sobral, Maria João Ferreira, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 4, pp. 64-64
Open Access | Times Cited: 66
Lightweight, Early Identification of At-Risk CS1 Students
Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, et al.
(2016), pp. 123-131
Open Access | Times Cited: 79
Blending Measures of Programming and Social Behavior into Predictive Models of Student Achievement in Early Computing Courses
Adam S. Carter, Christopher Hundhausen, Olusola Adesope
ACM Transactions on Computing Education (2017) Vol. 17, Iss. 3, pp. 1-20
Closed Access | Times Cited: 79
A systematic meta-Review and analysis of learning analytics research
Xu Du, Juan Yang, Brett E. Shelton, et al.
Behaviour and Information Technology (2019) Vol. 40, Iss. 1, pp. 49-62
Closed Access | Times Cited: 72
Evaluating Neural Networks as a Method for Identifying Students in Need of Assistance
Karo Castro-Wunsch, Alireza Ahadi, Andrew Petersen
(2017), pp. 111-116
Open Access | Times Cited: 68
Clickstream for learning analytics to assess students’ behavior with Scratch
Daniel Amo, Marc Alier, Francisco José García‐Peñalvo, et al.
Future Generation Computer Systems (2018) Vol. 93, pp. 673-686
Open Access | Times Cited: 67
CS1: how will they do? How can we help? A decade of research and practice
Keith Quille, Susan Bergin
Computer Science Education (2019) Vol. 29, Iss. 2-3, pp. 254-282
Closed Access | Times Cited: 62
Computational Thinking
Paul Curzon, Tim Bell, Jane Waite, et al.
Cambridge University Press eBooks (2019), pp. 513-546
Closed Access | Times Cited: 58
Review of measurements used in computing education research and suggestions for increasing standardization
Lauren E. Margulieux, Tuba Ketenci, Adrienne Decker
Computer Science Education (2019) Vol. 29, Iss. 1, pp. 49-78
Closed Access | Times Cited: 55
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