
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:
Student-Performulator: Predicting Students’ Academic Performance at Secondary and Intermediate Level Using Machine Learning
Shah Hussain, Muhammad Qasim Khan
Annals of Data Science (2021) Vol. 10, Iss. 3, pp. 637-655
Open Access | Times Cited: 104
Shah Hussain, Muhammad Qasim Khan
Annals of Data Science (2021) Vol. 10, Iss. 3, pp. 637-655
Open Access | Times Cited: 104
Showing 1-25 of 104 citing articles:
Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)
Nabila Sghir, Amina Adadi, Mohammed Lahmer
Education and Information Technologies (2022) Vol. 28, Iss. 7, pp. 8299-8333
Open Access | Times Cited: 108
Nabila Sghir, Amina Adadi, Mohammed Lahmer
Education and Information Technologies (2022) Vol. 28, Iss. 7, pp. 8299-8333
Open Access | Times Cited: 108
Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, et al.
IEEE Access (2022) Vol. 10, pp. 72480-72503
Open Access | Times Cited: 77
Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb, et al.
IEEE Access (2022) Vol. 10, pp. 72480-72503
Open Access | Times Cited: 77
A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Iddrisu Issah, Obed Appiah, Peter Appiahene, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100204-100204
Open Access | Times Cited: 47
Iddrisu Issah, Obed Appiah, Peter Appiahene, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100204-100204
Open Access | Times Cited: 47
The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms
Yagyanath Rimal, Navneet Sharma, Abeer Alsadoon
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74349-74364
Closed Access | Times Cited: 28
Yagyanath Rimal, Navneet Sharma, Abeer Alsadoon
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74349-74364
Closed Access | Times Cited: 28
Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
Bashir Khan Yousafzai, Sher Afzal Khan, Taj Rahman, et al.
Sustainability (2021) Vol. 13, Iss. 17, pp. 9775-9775
Open Access | Times Cited: 88
Bashir Khan Yousafzai, Sher Afzal Khan, Taj Rahman, et al.
Sustainability (2021) Vol. 13, Iss. 17, pp. 9775-9775
Open Access | Times Cited: 88
A systematic review on machine learning models for online learning and examination systems
Sanaa Kaddoura, Daniela Elena Popescu, D. Jude Hemanth
PeerJ Computer Science (2022) Vol. 8, pp. e986-e986
Open Access | Times Cited: 50
Sanaa Kaddoura, Daniela Elena Popescu, D. Jude Hemanth
PeerJ Computer Science (2022) Vol. 8, pp. e986-e986
Open Access | Times Cited: 50
Machine learning model (RG-DMML) and ensemble algorithm for prediction of students’ retention and graduation in education
Kingsley Okoye, Julius T. Nganji, José Escamilla, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100205-100205
Open Access | Times Cited: 16
Kingsley Okoye, Julius T. Nganji, José Escamilla, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100205-100205
Open Access | Times Cited: 16
Predicting Student Performance in Online Learning: A Multidimensional Time-Series Data Analysis Approach
Zhaoyu Shou, Mingquan Xie, Jianwen Mo, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2522-2522
Open Access | Times Cited: 11
Zhaoyu Shou, Mingquan Xie, Jianwen Mo, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2522-2522
Open Access | Times Cited: 11
Harnessing machine learning for academic insight: A study of educational performance in Bhopal, India
Vandana Onker, Krishna Kumar Singh, Hemraj Shobharam Lamkuche, et al.
Education and Information Technologies (2025)
Closed Access | Times Cited: 1
Vandana Onker, Krishna Kumar Singh, Hemraj Shobharam Lamkuche, et al.
Education and Information Technologies (2025)
Closed Access | Times Cited: 1
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
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
Predicting performance of students by optimizing tree components of random forest using genetic algorithm
Mengyao Chen, Zhengqi Liu
Heliyon (2024) Vol. 10, Iss. 12, pp. e32570-e32570
Open Access | Times Cited: 7
Mengyao Chen, Zhengqi Liu
Heliyon (2024) Vol. 10, Iss. 12, pp. e32570-e32570
Open Access | Times Cited: 7
Count Regression and Machine Learning Techniques for Zero-Inflated Overdispersed Count Data: Application to Ecological Data
Bonelwa Sidumo, Energy Sonono, Isaac Takaidza
Annals of Data Science (2023) Vol. 11, Iss. 3, pp. 803-817
Open Access | Times Cited: 15
Bonelwa Sidumo, Energy Sonono, Isaac Takaidza
Annals of Data Science (2023) Vol. 11, Iss. 3, pp. 803-817
Open Access | Times Cited: 15
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
Olusola Olabanjo, Ashiribo Senapon Wusu, Mazzara Manuel
Trends in Neuroscience and Education (2022) Vol. 29, pp. 100190-100190
Closed Access | Times Cited: 20
Using Reinforcement Learning Algorithms to Optimize Practical Skills Development in Higher Vocational and Technical Education
Xingli Zhang
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2146-2155
Open Access | Times Cited: 4
Xingli Zhang
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2146-2155
Open Access | Times Cited: 4
Deep Neural Network-Based Prediction and Early Warning of Student Grades and Recommendations for Similar Learning Approaches
Tao Tao, Chen Sun, Zhaoyang Wu, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7733-7733
Open Access | Times Cited: 19
Tao Tao, Chen Sun, Zhaoyang Wu, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7733-7733
Open Access | Times Cited: 19
Role of convolutional features and machine learning for predicting student academic performance from MOODLE data
Nihal Abuzinadah, Muhammad Umer, Abid Ishaq, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293061-e0293061
Open Access | Times Cited: 10
Nihal Abuzinadah, Muhammad Umer, Abid Ishaq, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293061-e0293061
Open Access | Times Cited: 10
Predicting Student Performance in a Blended Learning Course Using Machine Learning
Gülsüm Aşıksoy
Sustainable civil infrastructures (2025), pp. 1251-1263
Closed Access
Gülsüm Aşıksoy
Sustainable civil infrastructures (2025), pp. 1251-1263
Closed Access
Beyond The Gradebook: Machine Learning and LMS Data for True Student Performance
Varsha Ganesh, S. Umarani
Journal of Machine and Computing (2025), pp. 539-550
Closed Access
Varsha Ganesh, S. Umarani
Journal of Machine and Computing (2025), pp. 539-550
Closed Access
PREDIKSI INDEKS PERFORMA SISWA BERDASARKAN WAKTU BELAJAR, NILAI SEBELUMNYA, KEGIATAN EKSTRAKURIKULER, WAKTU TIDUR, DAN BANYAKNYA SOAL YANG DIKERJAKAN DENGAN REGRESI LINEAR KUADRAT-TERKECIL
Sapto Mukti Handoyo, Mohamad Khoirun Najib
Al-Aqlu Jurnal Matematika Teknik dan Sains (2025) Vol. 3, Iss. 1, pp. 22-30
Closed Access
Sapto Mukti Handoyo, Mohamad Khoirun Najib
Al-Aqlu Jurnal Matematika Teknik dan Sains (2025) Vol. 3, Iss. 1, pp. 22-30
Closed Access
Early Identification of Vulnerable Students with Machine Learning Algorithms
Mohammad Awedh, Ahmed Mueen
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2025) Vol. 22, pp. 166-188
Open Access
Mohammad Awedh, Ahmed Mueen
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2025) Vol. 22, pp. 166-188
Open Access
Enhancing Student Success Prediction: A Comparative Analysis of Machine Learning Technique
Majdi Beseiso
TechTrends (2025)
Closed Access
Majdi Beseiso
TechTrends (2025)
Closed Access
Assessments of Student’s Adaptability Using Convoluted Geyser Bidirectional Long Short-Term Memory in Online Education
B. S. Vijaya Baskar, Ramesh Kesavan
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
B. S. Vijaya Baskar, Ramesh Kesavan
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
A hybrid model combining environmental analysis and machine learning for predicting AI education quality
Xinyu Ren
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Xinyu Ren
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Result Analysis and SGPA Prediction using SVR and LSR: A Comparative Analysis
Aleena Fatima, Deebah Fatima, Shurookh Mohammed Anana
International Journal of Advanced Research in Science Communication and Technology (2025), pp. 577-589
Open Access
Aleena Fatima, Deebah Fatima, Shurookh Mohammed Anana
International Journal of Advanced Research in Science Communication and Technology (2025), pp. 577-589
Open Access
Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective
Shajid Hossain Hemal, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3
Shajid Hossain Hemal, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3