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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:

Development of a Web-Based Prediction System for Students’ Academic Performance
Dabiah Alboaneen, Modhe Almelihi, Rawan Alsubaie, et al.
Data (2022) Vol. 7, Iss. 2, pp. 21-21
Open Access | Times Cited: 23

Showing 23 citing articles:

Prediction of Students’ Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks
Luis Vives, Iván Cabezas, Juan Carlos Vives Garnique, et al.
IEEE Access (2024) Vol. 12, pp. 5882-5898
Open Access | Times Cited: 11
Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models
Balqis Albreiki, Tetiana Habuza, Nazar Zaki
International Journal of Educational Technology in Higher Education (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 17
Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education
Gianni Fenu, Roberta Galici, Mirko Marras
Lecture notes in computer science (2022), pp. 243-255
Open Access | Times Cited: 13
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
Framework for suggesting corrective actions to help students intended at risk of low performance based on experimental study of college students using explainable machine learning model
Harsimran Singh, Banipreet Kaur, Arun Sharma, et al.
Education and Information Technologies (2023) Vol. 29, Iss. 7, pp. 7997-8034
Closed Access | Times Cited: 6
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
Machine Learning-Based System for Admission and Jobs Prediction in Engineering and Technology Sector
Sangam Suman, Simran Kaur, Aryan Sharma, et al.
(2024), pp. 463-468
Closed Access | Times Cited: 1
Big Data in Education: Students at Risk as a Case Study
Ahmed B. Altamimi
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 5, pp. 11705-11714
Open Access | Times Cited: 3
Predictive Model of Undergraduate Student Grading Using Machine Learning for Learning Analytics
Mohd Norhisham Razali, Habiel Zakariah, Rozita Hanapi, et al.
(2022)
Closed Access | Times Cited: 4
Predicting Student's Soft Skills Based on Socio-Economical Factors: An Educational Data Mining Approach
Rathimala Kannan, Chew Chin Jet, Kannan Ramakrishnan, et al.
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 3-2, pp. 2040-2040
Open Access | Times Cited: 2
Performance Comparison of Machine Learning Algorithms for Student Personality Classification
Didi Supriyadi, Purwanto Purwanto, Budi Warsito
(2022), pp. 73-78
Closed Access | Times Cited: 3
Academic Performance Prediction of At-Risk Students using Machine Learning Techniques
Shoukath TK, Midhunchakkravarthy
(2023), pp. 1222-1227
Closed Access | Times Cited: 1
Effect of Block-based Python Programming Environment on Programming Learning
Yongcheon Kim, JaMee Kim, Wonkyu Lee
(2023)
Open Access | Times Cited: 1
Prediction of Students’ Grades Based on Non-academic Data
Beatriz Lacerda, Francisco S. Marcondes, Henrique Espada Lima, et al.
Lecture notes in networks and systems (2023), pp. 87-95
Closed Access | Times Cited: 1
Advancements in Machine Learning Techniques for Educational Data Mining: An Overview of Perspectives and Trends
Rithesh Kannan, Timothy Tzen Vun Yap, Hu Ng, et al.
International Journal of Membrane Science and Technology (2023) Vol. 10, Iss. 3, pp. 1820-1839
Open Access | Times Cited: 1
Effect of Block-Based Python Programming Environment on Programming Learning
Yongcheon Kim, JaMee Kim, Wongyu Lee
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10898-10898
Open Access | Times Cited: 1
Optimizing Neural Networks for Academic Performance Classification Using Feature Selection and Resampling Approach
Didi Supriyadi, Purwanto Purwanto, Budi Warsito
MENDEL (2023) Vol. 29, Iss. 2, pp. 261-272
Open Access | Times Cited: 1
Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining
Luis Barba-Guamán, Priscila Valdiviezo-Díaz
Communications in computer and information science (2024), pp. 219-230
Closed Access
Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education
Priscila Valdiviezo-Díaz, Janneth Chicaiza
Communications in computer and information science (2024), pp. 206-218
Closed Access
Stacking Based Machine Learning Approach for Student Performance Analysis
Hariegwambe, Shakila Baskaran, Prakash Marimuthu
(2024), pp. 1-5
Closed Access
Multifactor higher education model taking into account the level of emotional intelligence
Vadim G. Feklin, Marina V. Melnichuk, Светлана Фрумина, et al.
Perspectives of science and education (2022) Vol. 58, Iss. 4, pp. 475-493
Open Access | Times Cited: 1
Forecasting Student Achievement through Machine Learning Models
N. Abinaya, S. Priyanka, E Pavithra, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1170-1174
Closed Access
Predicting at-risk students in a higher educational institution in Ghana for early intervention using machine learning
Fati Tahiru
(2023)
Open Access
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