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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:

Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory
Wanli Xing, Rui Guo, Eva Petakovic, et al.
Computers in Human Behavior (2014) Vol. 47, pp. 168-181
Closed Access | Times Cited: 273

Showing 1-25 of 273 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: 558
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
Hanan Aldowah, Hosam Al‐Samarraie, Wan Mohamad Fauzy
Telematics and Informatics (2019) Vol. 37, pp. 13-49
Closed Access | Times Cited: 473
Educational data mining: prediction of students' academic performance using machine learning algorithms
Mustafa Yağcı
Smart Learning Environments (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 321
Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention
Wanli Xing, Dongping Du
Journal of Educational Computing Research (2018) Vol. 57, Iss. 3, pp. 547-570
Closed Access | Times Cited: 237
Temporal predication of dropouts in MOOCs: Reaching the low hanging fruit through stacking generalization
Wanli Xing, Xin Chen, Jared Stein, et al.
Computers in Human Behavior (2016) Vol. 58, pp. 119-129
Closed Access | Times Cited: 234
Factors Affecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques
Amjed Abu Saa, Mostafa Al‐Emran, Khaled Shaalan
Technology Knowledge and Learning (2019) Vol. 24, Iss. 4, pp. 567-598
Closed Access | Times Cited: 183
Educational Data Mining: A review of evaluation process in the e-learning
Marcos W. Rodrigues, Seiji Isotani, Luis E. Zárate
Telematics and Informatics (2018) Vol. 35, Iss. 6, pp. 1701-1717
Closed Access | Times Cited: 172
Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Anupam Khan, Soumya K. Ghosh
Education and Information Technologies (2020) Vol. 26, Iss. 1, pp. 205-240
Closed Access | Times Cited: 147
Explainable Artificial Intelligence by Genetic Programming: A Survey
Yi Mei, Qi Chen, Andrew Lensen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 621-641
Closed Access | Times Cited: 72
AI student success predictor: Enhancing personalized learning in campus management systems
Muhammad Shoaib, Nasir Sayed, Jaiteg Singh, et al.
Computers in Human Behavior (2024) Vol. 158, pp. 108301-108301
Closed Access | Times Cited: 27
Student profiling in a dispositional learning analytics application using formative assessment
Dirk Tempelaar, Bart Rienties, Jenna Mittelmeier, et al.
Computers in Human Behavior (2017) Vol. 78, pp. 408-420
Open Access | Times Cited: 108
Building models explaining student participation behavior in asynchronous online discussion
Sean Goggins, Wanli Xing
Computers & Education (2015) Vol. 94, pp. 241-251
Closed Access | Times Cited: 103
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition
Ling Cen, Dymitr Ruta, Leigh Powell, et al.
International Journal of Computer-Supported Collaborative Learning (2016) Vol. 11, Iss. 2, pp. 187-225
Closed Access | Times Cited: 103
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: 101
Why trust an algorithm? Performance, cognition, and neurophysiology
Veronika Alexander, Collin Blinder, Paul J. Zak
Computers in Human Behavior (2018) Vol. 89, pp. 279-288
Closed Access | Times Cited: 98
Predicting student academic performance using multi-model heterogeneous ensemble approach
Olugbenga Adejo, Thomas Connolly
Journal of Applied Research in Higher Education (2017) Vol. 10, Iss. 1, pp. 61-75
Closed Access | Times Cited: 97
Big Educational Data & Analytics: Survey, Architecture and Challenges
Li-Minn Ang, Feng Ge, Kah Phooi Seng
IEEE Access (2020) Vol. 8, pp. 116392-116414
Open Access | Times Cited: 96
Profiling self-regulation behaviors in STEM learning of engineering design
Juan Zheng, Wanli Xing, Gaoxia Zhu, et al.
Computers & Education (2019) Vol. 143, pp. 103669-103669
Closed Access | Times Cited: 92
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: 81
Artificial Neural Networks for Educational Data Mining in Higher Education: A Systematic Literature Review
Emmanuel Okewu, Phillip Adewole, Sanjay Misra, et al.
Applied Artificial Intelligence (2021) Vol. 35, Iss. 13, pp. 983-1021
Open Access | Times Cited: 80
A Survey on Predictive Models of Learning Analytics
S. Ranjeeth, T. P. Latchoumi, P. Victer Paul
Procedia Computer Science (2020) Vol. 167, pp. 37-46
Open Access | Times Cited: 70
Predicting achievement and providing support before STEM majors begin to fail
Matthew L. Bernacki, Michelle Chavez, P. Merlin Uesbeck
Computers & Education (2020) Vol. 158, pp. 103999-103999
Open Access | Times Cited: 69
Ethical issues in learning analytics: a review of the field
Dimitrios Tzimas, Stavros Demetriadis
Educational Technology Research and Development (2021) Vol. 69, Iss. 2, pp. 1101-1133
Closed Access | Times Cited: 68
Explainable Student Performance Prediction Models: A Systematic Review
Rahaf Alamri, Basma Alharbi
IEEE Access (2021) Vol. 9, pp. 33132-33143
Open Access | Times Cited: 64
Learning Analytics in Online Learning Environment: A Systematic Review on the Focuses and the Types of Student-Related Analytics Data
Si Na Kew, Zaidatun Tasir
Technology Knowledge and Learning (2021) Vol. 27, Iss. 2, pp. 405-427
Closed Access | Times Cited: 61
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