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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:

Study on student performance estimation, student progress analysis, and student potential prediction based on data mining
Fan Yang, Frederick W. B. Li
Computers & Education (2018) Vol. 123, pp. 97-108
Open Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

Artificial Intelligence trends in education: a narrative overview
Maud Chassignol, А В Хорошавин, Alexandra Klímová, et al.
Procedia Computer Science (2018) Vol. 136, pp. 16-24
Open Access | Times Cited: 622
Coronavirus (COVID-19) and Online Learning in Higher Institutions of Education: A Survey of the Perceptions of Ghanaian International Students in China
John Demuyakor
Online Journal of Communication and Media Technologies (2020) Vol. 10, Iss. 3, pp. e202018-e202018
Open Access | Times Cited: 450
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
Fan Ouyang, Mian Wu, Luyi Zheng, et al.
International Journal of Educational Technology in Higher Education (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 158
The impact of engineering students' performance in the first three years on their graduation result using educational data mining
Aderibigbe Israel Adekitan, Odunayo Paul Salau
Heliyon (2019) Vol. 5, Iss. 2, pp. e01250-e01250
Open Access | Times Cited: 157
La Inteligencia Artificial como recurso educativo durante la formación inicial del profesorado
Desirée Ayuso del Puerto, Prudencia Gutiérrez Esteban
RIED Revista Iberoamericana de Educación a Distancia (2022) Vol. 25, Iss. 2
Open Access | Times Cited: 96
Artificial intelligence in education: A systematic literature review
Shan Wang, Fang Wang, Zhen Zhu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124167-124167
Open Access | Times Cited: 72
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Waleed Iqbal, Ammar Elhassan, et al.
IEEE Transactions on Learning Technologies (2023) Vol. 17, pp. 12-31
Open Access | Times Cited: 69
Predicting student final performance using artificial neural networks in online learning environments
Şeyhmus Aydoğdu
Education and Information Technologies (2019) Vol. 25, Iss. 3, pp. 1913-1927
Closed Access | Times Cited: 98
A two-phase machine learning approach for predicting student outcomes
Omiros Iatrellis, Ilias Κ. Savvas, Panos Fitsilis, et al.
Education and Information Technologies (2020) Vol. 26, Iss. 1, pp. 69-88
Closed Access | Times Cited: 74
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
Educational Big Data: Predictions, Applications and Challenges
Xiaomei Bai, Fuli Zhang, Jinzhou Li, et al.
Big Data Research (2021) Vol. 26, pp. 100270-100270
Open Access | Times Cited: 59
Enhanced binary genetic algorithm as a feature selection to predict student performance
Salam Salameh Shreem, Hamza Turabieh, Sana Al Azwari, et al.
Soft Computing (2022) Vol. 26, Iss. 4, pp. 1811-1823
Closed Access | Times Cited: 44
A novel methodology using RNN + LSTM + ML for predicting student’s academic performance
Ashima Kukkar, Rajni Mohana, Aman Sharma, et al.
Education and Information Technologies (2024) Vol. 29, Iss. 11, pp. 14365-14401
Closed Access | Times Cited: 11
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
Kashif Ahmad, Junaid Qadir, Ala Al‐Fuqaha, et al.
(2020)
Open Access | Times Cited: 63
Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance
Hamza Turabieh, Sana Al Azwari, Mahmoud Rokaya, et al.
Computing (2021) Vol. 103, Iss. 7, pp. 1417-1438
Closed Access | Times Cited: 54
An Improved Early Student’s Academic Performance Prediction Using Deep Learning
Nida Aslam, Irfan Ullah Khan, Leena H. Alamri, et al.
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 12, pp. 108-108
Open Access | Times Cited: 43
Academic Performance Prediction Method of Online Education using Random Forest Algorithm and Artificial Intelligence Methods
Jing Yu
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 05, pp. 45-45
Open Access | Times Cited: 42
Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare
Kehua Guo, Tianyu Chen, Sheng Ren, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 21, Iss. 4, pp. 869-879
Closed Access | Times Cited: 38
Predicting the academic performance of middle- and high-school students using machine learning algorithms
Suchithra Rajendran, S Chamundeswari, Akhouri A. Sinha
Social Sciences & Humanities Open (2022) Vol. 6, Iss. 1, pp. 100357-100357
Open Access | Times Cited: 29
Research on learning behavior patterns from the perspective of educational data mining: Evaluation, prediction and visualization
Guiyun Feng, Muwei Fan
Expert Systems with Applications (2023) Vol. 237, pp. 121555-121555
Closed Access | Times Cited: 19
Analyzing students' academic performance using educational data mining
Sazol Sarker, Mahit Kumar Paul, Sheikh Tasnimul Hasan Thasin, et al.
Computers and Education Artificial Intelligence (2024) Vol. 7, pp. 100263-100263
Open Access | Times Cited: 6
Highlighting E‑learning Adoption Challenges using data Analysis Techniques: University of Kufa as a Case Study
Ammar Karkar, Hayder K. Fatlawi, Ahmed A. Al-Jobouri
The Electronic Journal of e-Learning (2020) Vol. 18, Iss. 2
Open Access | Times Cited: 48
A Learning Analytics Theoretical Framework for STEM Education Virtual Reality Applications
Athanasios Christopoulos, Νικόλαος Πέλλας, Mikko‐Jussi Laakso
Education Sciences (2020) Vol. 10, Iss. 11, pp. 317-317
Open Access | Times Cited: 46
Early Dropout Prediction Model: A Case Study of University Leveling Course Students
Iván Sandoval, David Naranjo, Jack Vidal, et al.
Sustainability (2020) Vol. 12, Iss. 22, pp. 9314-9314
Open Access | Times Cited: 44
Learning analytics for student modeling in virtual reality training systems: Lineworkers case
Guillermo Santamaría-Bonfil, María Blanca Ibáñez, Miguel Pérez-Ramírez, et al.
Computers & Education (2020) Vol. 151, pp. 103871-103871
Open Access | Times Cited: 40
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