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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:

Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student
Bashir Khan Yousafzai, Maqsood Hayat, Sher Afzal
Education and Information Technologies (2020) Vol. 25, Iss. 6, pp. 4677-4697
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Artificial Intelligence Applications in K-12 Education: A Systematic Literature Review
Mostafa Zafari, Jalal Safari Bazargani, Abolghasem Sadeghi‐Niaraki, et al.
IEEE Access (2022) Vol. 10, pp. 61905-61921
Open Access | Times Cited: 87
Affordances and challenges of artificial intelligence in K-12 education: a systematic review
Helen Crompton, Mildred Jones, Diane Burke
Journal of Research on Technology in Education (2022) Vol. 56, Iss. 3, pp. 248-268
Closed Access | Times Cited: 78
Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining — A survey
Sunita M. Dol, Pradip M. Jawandhiya
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106071-106071
Closed Access | Times Cited: 46
An artificial intelligence approach to monitor student performance and devise preventive measures
Ijaz Ali Khan, Abdul Rahim Ahmad, Nafaâ Jabeur, et al.
Smart Learning Environments (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 96
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: 59
Practical early prediction of students’ performance using machine learning and eXplainable AI
Yeonju Jang, Seongyune Choi, Heeseok Jung, et al.
Education and Information Technologies (2022) Vol. 27, Iss. 9, pp. 12855-12889
Closed Access | Times Cited: 47
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: 24
Systematic Literature Review on Machine Learning and Student Performance Prediction: Critical Gaps and Possible Remedies
Boran Şekeroğlu, Rahib H. Abiyev, Ahmet İlhan, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10907-10907
Open Access | Times Cited: 52
Predicting Academic Performance Using an Efficient Model Based on Fusion of Classifiers
Ansar Siddique, Asiya Jan, Fiaz Majeed, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11845-11845
Open Access | Times Cited: 47
Applications of Learning Analytics in High Schools: A Systematic Literature Review
Erverson B. G. de Sousa, Bruno Alexandre Barreiros Rosa, Rafael Ferreira Mello, et al.
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 43
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: 34
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
A Practical Model for the Evaluation of High School Student Performance Based on Machine Learning
Mostafa Zafari, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11534-11534
Open Access | Times Cited: 28
Feature Selection with Optimal Stacked Sparse Autoencoder for Data Mining
Manar Ahmed Hamza, Siwar Ben Haj Hassine, Ibrahim Abunadi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 2, pp. 2581-2596
Open Access | Times Cited: 20
Integrating Learning Analytics and Collaborative Learning for Improving Student’s Academic Performance
Adnan Rafique, Muhammad Salman Khan, Muhammad Hasan Jamal, et al.
IEEE Access (2021) Vol. 9, pp. 167812-167826
Open Access | Times Cited: 26
Predicting academic performance using tree-based machine learning models: A case study of bachelor students in an engineering department in China
Wei Zhang, Yu Wang, Suyu Wang
Education and Information Technologies (2022) Vol. 27, Iss. 9, pp. 13051-13066
Closed Access | Times Cited: 19
Enhancing Student Success Prediction: A Comparative Analysis of Machine Learning Technique
Majdi Beseiso
TechTrends (2025)
Closed Access
Data mining and neural network modeling for teaching and learning in vocational education: promoting innovation in academic management and teaching reforms
W. Xu, Rui Geng, Lezhong Xu
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy
Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Decision Tree for Predicting Student English Writing Performance in the Higher Education
Zhiwei Qi, Yuqing Liu, Xiaoqing Dai
(2025), pp. 259-264
Closed Access
Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students
Sunita M. Dol, Pradip M. Jawandhiya
Journal of The Institution of Engineers (India) Series B (2024) Vol. 105, Iss. 4, pp. 1021-1071
Closed Access | Times Cited: 3
Predicting the percentage of student placement: A comparative study of machine learning algorithms
Erman Çakıt, Metin Dağdeviren
Education and Information Technologies (2021) Vol. 27, Iss. 1, pp. 997-1022
Closed Access | Times Cited: 19
Enhancing Student Performance Prediction via Educational Data Mining on Academic data
Zareen Alamgir, Habiba Akram, Saira Karim, et al.
Informatics in Education (2023)
Open Access | Times Cited: 7
A Bayesian active learning approach to comparative judgement within education assessment
A. Gray, Alma Rahat, Tom Crick, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100245-100245
Open Access | Times Cited: 2
Visualizing the knowledge mapping of artificial intelligence in education: A systematic review
Qinggui Qin, Shuhan Zhang
Education and Information Technologies (2024)
Closed Access | Times Cited: 2
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