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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 academic performance: a systematic literature review
Arto Hellas, Petri Ihantola, Andrew Petersen, et al.
(2018), pp. 175-199
Open Access | Times Cited: 274

Showing 1-25 of 274 citing articles:

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: 334
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Abdallah Namoun, Abdullah Alshanqiti
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 237-237
Open Access | Times Cited: 292
A Systematic Literature Review of Student’ Performance Prediction Using Machine Learning Techniques
Balqis Albreiki, Nazar Zaki, Hany Alashwal
Education Sciences (2021) Vol. 11, Iss. 9, pp. 552-552
Open Access | Times Cited: 227
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen, et al.
(2023), pp. 108-159
Open Access | Times Cited: 141
A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Melissa Bond, Hassan Khosravi, Maarten de Laat, et al.
International Journal of Educational Technology in Higher Education (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 130
Multiclass Prediction Model for Student Grade Prediction Using Machine Learning
Siti Dianah Abdul Bujang, Ali Selamat, Roliana Ibrahim, et al.
IEEE Access (2021) Vol. 9, pp. 95608-95621
Open Access | Times Cited: 120
Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, et al.
IEEE Access (2022) Vol. 10, pp. 72480-72503
Open Access | Times Cited: 76
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms
Qinyi Liu, Oscar Blessed Deho, Farhad Vadiee, et al.
(2025), pp. 591-600
Open Access | Times Cited: 4
Factores personales, familiares y académicos que afectan al fracaso escolar en la Educación Secundaria
Antonia Lozano Díaz
Electronic Journal of Research in Educational Psychology (2017) Vol. 1, Iss. 1
Open Access | Times Cited: 113
Mining Educational Data to Predict Students’ Performance through Procrastination Behavior
Danial Hooshyar, Margus Pedaste, Yeongwook Yang
Entropy (2019) Vol. 22, Iss. 1, pp. 12-12
Open Access | Times Cited: 113
Student Dropout Prediction
Francesca Del Bonifro, Maurizio Gabbrielli, Giuseppe Lisanti, et al.
Lecture notes in computer science (2020), pp. 129-140
Open Access | Times Cited: 95
Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification
Abdullah Alshanqiti, Abdallah Namoun
IEEE Access (2020) Vol. 8, pp. 203827-203844
Open Access | Times Cited: 92
Students’ interaction patterns in different online learning activities and their relationship with motivation, self-regulated learning strategy and learning performance
Ayça Çebi, Tolga Güyer
Education and Information Technologies (2020) Vol. 25, Iss. 5, pp. 3975-3993
Closed Access | Times Cited: 76
Explainable Student Performance Prediction Models: A Systematic Review
Rahaf Alamri, Basma Alharbi
IEEE Access (2021) Vol. 9, pp. 33132-33143
Open Access | Times Cited: 65
Should College Dropout Prediction Models Include Protected Attributes?
Renzhe Yu, Hansol Lee, René F. Kizilcec
(2021), pp. 91-100
Open Access | Times Cited: 64
Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)
Yahia Baashar, Gamal Alkawsi, Abdulsalam Salihu Mustafa, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1289-1289
Open Access | Times Cited: 62
Predicting Student Performance from Online Engagement Activities Using Novel Statistical Features
Ghassen Ben Brahim
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 10225-10243
Open Access | Times Cited: 46
Proactive and reactive engagement of artificial intelligence methods for education: a review
Sruti Mallik, Ahana Gangopadhyay
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 39
AI-enhanced education: exploring the impact of AI literacy on generation Z’s academic performance in Northern India
Ekamdeep Singh, Prihana Vasishta, Anju Singla
Quality Assurance in Education (2024)
Closed Access | Times Cited: 12
Learning analytics dashboards are increasingly becoming about learning and not just analytics - A systematic review
Lucas Paulsen, Euan Lindsay
Education and Information Technologies (2024) Vol. 29, Iss. 11, pp. 14279-14308
Open Access | Times Cited: 10
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler, et al.
(2025), pp. 300-338
Open Access | Times Cited: 1
Machine learning for the educational sciences
Sven Hilbert, Stefan Coors, Elisabeth Kraus, et al.
Review of Education (2021) Vol. 9, Iss. 3
Open Access | Times Cited: 51
Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM
Samina Sarwat, Naeem Ullah, Saima Sadiq, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4834-4834
Open Access | Times Cited: 35
Determining factors that affect student performance using various machine learning methods
Nicholas Robert Beckham, Limas Jaya Akeh, Giodio Nathanael Pratama Mitaart, et al.
Procedia Computer Science (2023) Vol. 216, pp. 597-603
Open Access | Times Cited: 19
Exploring Software Infrastructures for Enhanced Learning Environments to Empowering Education
Ronald M. Hernández, Walter Antonio Campos-Ugaz, Segundo Juan Sánchez Tarrillo, et al.
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) Vol. 15, Iss. 1, pp. 231-243
Open Access | Times Cited: 8
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