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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 key educational outcomes in academic trajectories: a machine-learning approach
Mariel Musso, Carlos Felipe Rodríguez-Hernández, Eduardo Cascallar
Higher Education (2020) Vol. 80, Iss. 5, pp. 875-894
Open Access | Times Cited: 97

Showing 1-25 of 97 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: 324
A Review of Using Machine Learning Approaches for Precision Education.
Hui Luan, Chin‐Chung Tsai
Educational Technology & Society (2021) Vol. 24, Iss. 1, pp. 250-266
Closed Access | Times Cited: 107
Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Pratiyush Guleria, Manu Sood
Education and Information Technologies (2022) Vol. 28, Iss. 1, pp. 1081-1116
Open Access | Times Cited: 71
How Machine Learning (ML) is Transforming Higher Education: A Systematic Literature Review
Agostinho Sousa Pinto, António Abreu, Eusébio Costa, et al.
Journal of Information Systems Engineering & Management (2023) Vol. 8, Iss. 2, pp. 21168-21168
Open Access | Times Cited: 28
A Machine Learning Approach to Predicting Academic Performance in Pennsylvania’s Schools
Shan Chen, Yuanzhao Ding
Social Sciences (2023) Vol. 12, Iss. 3, pp. 118-118
Open Access | Times Cited: 23
Factors influencing academic performance and dropout rates in higher education
A. Kocsis, Gyöngyvér Molnár
Oxford Review of Education (2024), pp. 1-19
Open Access | Times Cited: 14
A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
Ricardo Mendes, Tiago Oliveira, Mauro Castelli, et al.
Education and Information Technologies (2020) Vol. 26, Iss. 2, pp. 1527-1547
Open Access | Times Cited: 65
Aggregating Time Series and Tabular Data in Deep Learning Model for University Students’ GPA Prediction
Harjanto Prabowo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro, et al.
IEEE Access (2021) Vol. 9, pp. 87370-87377
Open Access | Times Cited: 34
Contributions of Machine Learning Models towards Student Academic Performance Prediction: A Systematic Review
Prasanalakshmi Balaji, Salem Alelyani, Ayman Qahmash, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10007-10007
Open Access | Times Cited: 33
Real-time prediction of science student learning outcomes using machine learning classification of hemodynamics during virtual reality and online learning sessions
Richard Lamb, Knut Neumann, Kayleigh A. Linder
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100078-100078
Open Access | Times Cited: 25
After-School Behaviors, Self-Management, and Parental Involvement as Predictors of Academic Achievement in Adolescents
Xiao Meng, Mingzhang Zuo, Xinqi Liu, et al.
Behavioral Sciences (2025) Vol. 15, Iss. 2, pp. 172-172
Open Access
Prediction of Students’ Academic Performance: the Correlation between the Results of the Unified State Exam and Academic Success
K.V. Rochev, Artem Georgiyevich Kudelin
Psychological Science and Education (2025) Vol. 30, Iss. 1, pp. 158-170
Open Access
Evolution and impact of the science of science: from theoretical analysis to digital-AI driven research
Jianhua Hou, Bili Zheng, Hao Li, et al.
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access
Exploring Feature Reduction for Dropout Predicting in Higher Education in Brazil
André Menolli, Gustavo Marcelino Dionísio, Alan Floriano, et al.
Revista Brasileira de Informática na Educação (2025) Vol. 33, pp. 106-129
Open Access
A Literature Review on the Emergence of Entrepreneurship Education
Marcos Komodromos
IGI Global eBooks (2025), pp. 21-46
Closed Access
Predicting first-time-in-college students’ degree completion outcomes
Elise Demeter, Mohsen Dorodchi, Erfan Al-Hossami, et al.
Higher Education (2022) Vol. 84, Iss. 3, pp. 589-609
Closed Access | Times Cited: 20
Responsible machine learning for United States Air Force pilot candidate selection
Devin Wasilefsky, William N. Caballero, Chancellor Johnstone, et al.
Decision Support Systems (2024) Vol. 180, pp. 114198-114198
Closed Access | Times Cited: 4
An Analysis of Machine Learning Algorithms for Predicting Student Performance with a Focus on Teacher and Class Attributes
Alok Gaddi, Mithun Kumar, Prasad Kulkarni, et al.
Lecture notes in networks and systems (2025), pp. 125-147
Closed Access
Predictive career guidance and entrepreneurial development for university students using artificial intelligence and machine learning
Kate Wen, Dekui Zhou
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Predicting Time to Graduation of Open University Students: An Educational Data Mining Study
Agus Santoso, Heri Retnawati, Kartianom Kartianom, et al.
Open Education Studies (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 3
Artificial intelligence-driven education evaluation and scoring: Comparative exploration of machine learning algorithms
Xiangfen Ma
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 3
E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior
Feiyue Qiu, Lijia Zhu, Guodao Zhang, et al.
Entropy (2022) Vol. 24, Iss. 5, pp. 722-722
Open Access | Times Cited: 15
Assessing the relevance of academic competencies in college admission tests from a higher-order thinking perspective: A systematic review
Juan F. Luesia, Isabel Benítez, Rosalba Company-Córdoba, et al.
Thinking Skills and Creativity (2023) Vol. 48, pp. 101251-101251
Closed Access | Times Cited: 8
Blending Shapley values for feature ranking in machine learning: an analysis on educational data
Pratiyush Guleria
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14093-14117
Closed Access | Times Cited: 2
An application of Bayesian inference to examine student retention and attrition in the STEM classroom
Roberto Bertolini, Stephen J. Finch, Ross H. Nehm
Frontiers in Education (2023) Vol. 8
Open Access | Times Cited: 6
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