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:

A survey on educational data mining methods used for predicting students' performance
Wen Xiao, Ping Ji, Juan Hu
Engineering Reports (2021) Vol. 4, Iss. 5
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT
Teo Sušnjak
International Journal of Artificial Intelligence in Education (2023) Vol. 34, Iss. 2, pp. 452-482
Open Access | Times Cited: 42

A systematic review on machine learning models for online learning and examination systems
Sanaa Kaddoura, Daniela Elena Popescu, D. Jude Hemanth
PeerJ Computer Science (2022) Vol. 8, pp. e986-e986
Open Access | Times Cited: 50

Exploring Online Activities to Predict the Final Grade of Student
Silvia Gaftandzhıeva, Ashis Talukder, Nisha Gohain, et al.
Mathematics (2022) Vol. 10, Iss. 20, pp. 3758-3758
Open Access | Times Cited: 33

Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms
Barnabás Holicza, Attila Kiss
Behavioral Sciences (2023) Vol. 13, Iss. 4, pp. 289-289
Open Access | Times Cited: 16

Role of Data Mining in Education Sector
Sunil MP, Gernel S. Lumacad
TechnoareteTransactions on Intelligent Data Mining and Knowledge Discovery (2022) Vol. 2, Iss. 3
Open Access | Times Cited: 23

An Adaptive Feature Selection Algorithm for Student Performance Prediction
Koushik Roy, Dewan Md. Farid
IEEE Access (2024) Vol. 12, pp. 75577-75598
Open Access | Times Cited: 5

Beyond the Classroom: Understanding the Evolution of Educational Data Mining With Key Route Main Path Analysis
Rona Nisa Sofia Amriza, Tzu‐Chuan Chou, Wiwit Ratnasari
Computer Applications in Engineering Education (2025) Vol. 33, Iss. 2
Closed Access

Empowering Education Through Data Mining Tools
Vineeta Singh, Ankur Prakash, Alok Kumar, et al.
Advances in multimedia and interactive technologies book series (2025), pp. 73-102
Closed Access

Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review
Ahmet Kala, Orhan Torkul, Tuğba Tunacan, et al.
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 152-170
Open Access

Evaluation of Group Fairness Measures in Student Performance Prediction Problems
Tai Le Quy, Thi Huyen Tram Nguyen, Gunnar Friege, et al.
Communications in computer and information science (2023), pp. 119-136
Open Access | Times Cited: 11

A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Big data management (2023), pp. 43-94
Open Access | Times Cited: 9

Improving Learning Outcomes through Predictive Analytics: Enhancing Teaching and Learning with Educational Data Mining
Ashraf Alam
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 249-257
Closed Access | Times Cited: 9

The Sequence Matters in Learning - A Systematic Literature Review
Manuel Valle Torre, Catharine Oertel, Marcus Specht
(2024), pp. 263-272
Open Access | Times Cited: 3

Early detection of student degree-level academic performance using educational data mining
Areej Fatemah Meghji, Naeem Ahmed Mahoto, Yousef Asiri, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1294-e1294
Open Access | Times Cited: 7

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

Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs
Majid Khan, Saba Naz, Yashir Khan, et al.
IEEE Access (2023) Vol. 11, pp. 86953-86962
Open Access | Times Cited: 5

Uncovering the Educational Data Mining Landscape and Future Perspective: A Comprehensive Analysis
Özcan Özyurt, Hacer Özyurt, Deepti Mishra
IEEE Access (2023) Vol. 11, pp. 120192-120208
Open Access | Times Cited: 5

Analyzing Effective Factors of Online Learning Performance by Interpreting Machine Learning Models
Wen Xiao, Juan Hu
IEEE Access (2023) Vol. 11, pp. 132435-132447
Open Access | Times Cited: 5

Understanding the stumbling blocks of Italian higher education system: A process mining approach
Claudia Diamantini, Laura Genga, Alex Mircoli, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122747-122747
Open Access | Times Cited: 5

A Scalable Machine Learning-based Ensemble Approach to Enhance the Prediction Accuracy for Identifying Students at-Risk
Swati Verma, Rakesh Kumar Yadav, Kuldeep Kholiya
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 8

A novel approach to mitigate academic underachievement in higher education: Feature selection, classifier performance, and interpretability in predicting student performance
Safira Begum, M. Ashok
International Journal of ADVANCED AND APPLIED SCIENCES (2024) Vol. 11, Iss. 5, pp. 140-150
Open Access | Times Cited: 1

Impact of mineral based social equity on unearthing inequities: A longitudinal analysis of environmental and social equity of mineral exploitation in the global south
Jinxuan Yang, Mansoor Ahmed Koondhar
Journal of Environmental Management (2024) Vol. 365, pp. 121492-121492
Closed Access | Times Cited: 1

A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments
Jafar Ali Ibrahim Syed Masood, N. S. Kalyan Chakravarthy, David Asirvatham, et al.
IEEE Access (2024) Vol. 12, pp. 103687-103703
Open Access | Times Cited: 1

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