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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:

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

Showing 1-25 of 157 citing articles:

Predicting academic success in higher education: literature review and best practices
Eyman A. Alyahyan, Dilek Düştegör
International Journal of Educational Technology in Higher Education (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 436
Mining opinions from instructor evaluation reviews: A deep learning approach
Aytuğ Onan
Computer Applications in Engineering Education (2019) Vol. 28, Iss. 1, pp. 117-138
Closed Access | Times Cited: 252
Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation
Carlos Felipe Rodríguez-Hernández, Mariel Musso, Eva Kyndt, et al.
Computers and Education Artificial Intelligence (2021) Vol. 2, pp. 100018-100018
Open Access | Times Cited: 113
Educational data mining to predict students' academic performance: A survey study
Saba Batool, Junaid Rashid, Muhammad Wasif Nisar, et al.
Education and Information Technologies (2022) Vol. 28, Iss. 1, pp. 905-971
Closed Access | Times Cited: 94
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
Prediction of Student’s Academic Performance Using Learning Analytics
Sakinat Oluwabukonla Folorunso, Yousef Farhaoui, Iyanu Pelumi Adigun, et al.
Lecture notes in networks and systems (2024), pp. 314-325
Closed Access | Times Cited: 36
Educational data mining for predicting students’ academic performance using machine learning algorithms
Pranav Dabhade, Ravina Agarwal, K.P. Alameen, et al.
Materials Today Proceedings (2021) Vol. 47, pp. 5260-5267
Closed Access | Times Cited: 79
Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)
Yahia Baashar, Gamal Alkawsi, Abdulsalam Salihu Mustafa, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1289-1289
Open Access | Times Cited: 63
Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature
Kiran Fahd, Sitalakshmi Venkatraman, Shah Jahan Miah, et al.
Education and Information Technologies (2021) Vol. 27, Iss. 3, pp. 3743-3775
Open 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
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: 34
An Explainable Model for Identifying At-Risk Student at Higher Education
Sarah Alwarthan, Nida Aslam, Irfan Ullah Khan
IEEE Access (2022) Vol. 10, pp. 107649-107668
Open Access | Times Cited: 32
Predicting Student Success Using Big Data and Machine Learning Algorithms
Farouk Ouatik, Mohammed Erritali, Fahd Ouatik, et al.
International Journal of Emerging Technologies in Learning (iJET) (2022) Vol. 17, Iss. 12, pp. 236-251
Open Access | Times Cited: 30
Student course grade prediction using the random forest algorithm: Analysis of predictors' importance
Mirna Nachouki, Elfadil A. Mohamed, Riyadh Mehdi, et al.
Trends in Neuroscience and Education (2023) Vol. 33, pp. 100214-100214
Open Access | Times Cited: 21
Systematic Literature Review of Predictive Analysis Tools in Higher Education
Martín Liz-Domínguez, Manuel Caeiro Rodríguez, Martín Llamas Nistal, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5569-5569
Open Access | Times Cited: 52
Prediction of Academic Performance at Undergraduate Graduation: Course Grades or Grade Point Average?
Ahmet Emin Tatar, Dilek Düştegör
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4967-4967
Open Access | Times Cited: 46
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
Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic Review
Sarah Alwarthan, Nida Aslam, Irfan Ullah Khan
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-26
Open Access | Times Cited: 25
Predicting Student Performance to Improve Academic Advising Using the Random Forest Algorithm
Mirna Nachouki, Mahmoud Abou Naaj
International Journal of Distance Education Technologies (2022) Vol. 20, Iss. 1, pp. 1-17
Open Access | Times Cited: 24
Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review
Khalid Alalawi, Rukshan Athauda, Raymond Chiong
Engineering Reports (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 15
Identification of Student Behavioral Patterns in Higher Education Using K-Means Clustering and Support Vector Machine
Nur Izzati Mohd Talib, Nazatul Aini Abd Majid, Shahnorbanun Sahran
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3267-3267
Open Access | Times Cited: 14
Student Performance Patterns in Engineering at the University of Johannesburg: An Exploratory Data Analysis
Mfowabo Maphosa, Wesley Doorsamy, Babu Paul
IEEE Access (2023) Vol. 11, pp. 48977-48987
Open Access | Times Cited: 14
Regression analysis of student academic performance using deep learning
Sadiq Hussain, Silvia Gaftandzhıeva, Md. Maniruzzaman, et al.
Education and Information Technologies (2020) Vol. 26, Iss. 1, pp. 783-798
Closed Access | Times Cited: 36
Predicting Academic Outcomes: A Survey from 2007 Till 2018
Sarah Alturki, Ioana Hulpuş, Heiner Stuckenschmidt
Technology Knowledge and Learning (2020) Vol. 27, Iss. 1, pp. 275-307
Open Access | Times Cited: 34
A machine learning prediction of academic performance of secondary school students using radial basis function neural network
Olusola Olabanjo, Ashiribo Senapon Wusu, Mazzara Manuel
Trends in Neuroscience and Education (2022) Vol. 29, pp. 100190-100190
Closed Access | Times Cited: 20
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