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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:

A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning
Julie Harvey, Sathish Kumar
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2019), pp. 3004-3011
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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
Improving academic performance predictions with dual graph neural networks
Qionghao Huang, Yan Zeng
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3557-3575
Open Access | Times Cited: 10
A Systematic Review of the Effects of Automatic Scoring and Automatic Feedback in Educational Settings
Marcelo Guerra Hahn, Silvia Baldiris, Luis de‐la‐Fuente‐Valentín, et al.
IEEE Access (2021) Vol. 9, pp. 108190-108198
Open Access | Times Cited: 49
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: 27
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
Explainable Models for Predicting Academic Pathways for High School Students in Saudi Arabia
Mai Abdalkareem, Nasro Min‐Allah
IEEE Access (2024) Vol. 12, pp. 30604-30626
Open Access | Times Cited: 2
Intelligent decision support system approach for predicting the performance of students based on three-level machine learning technique
Sohaib Latif, Fang Xian-wen, Lili Wang
Journal of Intelligent Systems (2021) Vol. 30, Iss. 1, pp. 739-749
Open Access | Times Cited: 17
Analysis of Machine Learning Classification Approaches for Predicting Students’ Programming Aptitude
Ali Çetinkaya, Ömer Kaan Baykan, Havva Kırgız
Sustainability (2023) Vol. 15, Iss. 17, pp. 12917-12917
Open Access | Times Cited: 5
Comparison study of Regression Models for the prediction of post-Graduation admissions using Machine Learning Techniques
Naveen S. Sapare, Sahana M. Beelagi
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2021)
Closed Access | Times Cited: 12
Renewal of the Concept of Diverse Education: Possibility of Further Education Based on a Novel AI-Based RF–ISSA Model
En-Hui Li, Zixi Wang, Jin Liu, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 250-250
Open Access | Times Cited: 1
Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 9
Systematic Literature Review: Machine Learning in Education to Predict Student Performance
Sebastianus Radhya, Muhammad Anka Syahfiera Tasik, Farhan Muhammad Sabran, et al.
(2022), pp. 350-356
Closed Access | Times Cited: 4
A proposal of Machine Learning model to improve learning process and reduce dropout rate at technical training institutes
Libia Aurora Ventura Apaza, Jimmy Aurelio Rosales-Huamaní, Juan Oswaldo Alfaro Bernedo, et al.
2022 17th Iberian Conference on Information Systems and Technologies (CISTI) (2021), pp. 1-4
Closed Access | Times Cited: 4
EXPLORING THE ACCURACY AND RELIABILITY OF MACHINE LEARNING APPROACHES FOR STUDENT PERFORMANCE
Bilal Owaidat
Applied Computer Science (2024) Vol. 20, Iss. 3, pp. 67-84
Open Access
DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools
Zhen-Qun Yang, Jiannong Cao, Xiaoyin Li, et al.
Lecture notes in computer science (2024), pp. 117-130
Closed Access
Predictive Models for Educational Purposes: A Systematic Review
Ahlam Almalawi, Ben Soh, Alice Li, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 12, pp. 187-187
Open Access
Predicting Students’ Academic Performance: A Review for the Attribute Used
Ismail Yusuf Panessai, Muhammad Modi Lakulu, Mohd Hishamuddin Abdul Rahman, et al.
International Journal of Academic Research in Business and Social Sciences (2020) Vol. 11, Iss. 4
Open Access | Times Cited: 3
Implementation of a Machine Learning Approach to Model and Assess Student Spatial Intelligence for Advancing STEM Education
Mostafa Zafari, Fatemeh Koochi, Abolghasem Sadeghi‐Niaraki, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Tracking and Predicting Student Performance in Degree Programs using Machine Learning
Mohini Mayur Shete, Anand Y. Joshi, G. Saravana Kumar, et al.
(2022), pp. 1949-1954
Closed Access | Times Cited: 2
Predicting academic performance using automatic learning techniques: a review of the scientific literature
Jacob Molina-Astorayme, Michael Cabanillas-Carbonell
(2020), pp. 1-4
Closed Access | Times Cited: 2
Data Analysis of Lead Contamination in New York
John Shelley, Manu S. Pillai, Sathish Kumar
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 1614-1619
Closed Access | Times Cited: 2
Evidence and Promises of AI Predictions to Understand Student Approaches to Math Learning in Abu Dhabi K12 Public Schools
Xin Miao, Pawan Kumar Mishra, Ali Nadaf
Gulf Education and Social Policy Review (GESPR) (2021)
Open Access | Times Cited: 2
Machine Learning-Based Models for Assessing Physical and Social Impacts Before, During and After Hurricane Michael
Julie Harvey, Sathish Kumar, Shaowu Bao
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020)
Closed Access | Times Cited: 1
Machine Learning Based Admission Data Processing for Early Forecasting Students' Learning Outcomes
Nguyen Thi Kim Son, Nguyễn Văn Biển, Nguyen Huu Quynh, et al.
International Journal of Data Warehousing and Mining (2022) Vol. 18, Iss. 1, pp. 1-15
Open Access | Times Cited: 1
Modelling student behavior in synchronous online learning during the covid-19 pandemic
Gianni Fenu, Roberta Galici
(2021) Vol. 2876, pp. 28-40
Closed Access | Times Cited: 1
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