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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:

Analysis of the Factors Influencing Learners’ Performance Prediction With Learning Analytics
Pedro Manuel Moreno-Marcos, Ting-Chuen Pong, Pedro J. Muñoz‐Merino, et al.
IEEE Access (2020) Vol. 8, pp. 5264-5282
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Abdallah Namoun, Abdullah Alshanqiti
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 237-237
Open Access | Times Cited: 290
Multiclass Prediction Model for Student Grade Prediction Using Machine Learning
Siti Dianah Abdul Bujang, Ali Selamat, Roliana Ibrahim, et al.
IEEE Access (2021) Vol. 9, pp. 95608-95621
Open Access | Times Cited: 118
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: 89
Learning Analytics on Student Engagement to Enhance Students’ Learning Performance: A Systematic Review
Nurul Atiqah Johar, Si Na Kew, Zaidatun Tasir, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7849-7849
Open Access | Times Cited: 39
Learning analytics on video-viewing engagement in a flipped statistics course: Relating external video-viewing patterns to internal motivational dynamics and performance
Chen‐Hsuan Liao, Jiun‐Yu Wu
Computers & Education (2023) Vol. 197, pp. 104754-104754
Open Access | Times Cited: 28
Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review
Lidya R. Pelima, Yuda Sukmana, Yusep Rosmansyah
IEEE Access (2024) Vol. 12, pp. 23451-23465
Open Access | Times Cited: 11
Applying machine learning approach to predict students’ performance in higher educational institutions
Mohammed Nasiru Yakubu, A. Mohammed Abubakar
Kybernetes (2021) Vol. 51, Iss. 2, pp. 916-934
Closed Access | Times Cited: 52
Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education
Lele Sha, Mladen Raković, Angel Das, et al.
IEEE Transactions on Learning Technologies (2022) Vol. 15, Iss. 4, pp. 481-492
Closed Access | Times Cited: 36
Real-time prediction of science student learning outcomes using machine learning classification of hemodynamics during virtual reality and online learning sessions
Richard Lamb, Knut Neumann, Kayleigh A. Linder
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100078-100078
Open Access | Times Cited: 25
SAPEx-D: A Comprehensive Dataset for Predictive Analytics in Personalized Education Using Machine Learning
Muhammad Adnan Aslam, Fiza Murtaza, Muhammad Ehatisham Ul Haq, et al.
Data (2025) Vol. 10, Iss. 3, pp. 27-27
Open Access
Comparing Student Preferences for AI-Generated and Peer-Generated Feedback in AI-driven Formative Peer Assessment
Injae Shin, Seung-won Hwang, Yun Joo Yoo, et al.
(2025), pp. 159-169
Closed Access
The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model
Md Galal Uddin, Apoorva Bamal, Mir Talas Mahammad Diganta, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 411-435
Closed Access
Predictive Performance Assessment in Simulation Training using Machine Learning
Ziaul Haque Munim, Fabian Kjeldsberg, Morten Bustgaard, et al.
International Journal of Artificial Intelligence in Education (2025)
Open Access
Rank-Based singular value decomposition recommendation algorithm for academic web pages
Mehwish Naseer, Wei Zhang
International Journal of Computers and Applications (2025), pp. 1-11
Closed Access
Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques
Mahmoud Ragab, Ahmed M.K. Abdel Aal, Ali O. Jifri, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 27
Learning assessments in search-as-learning: A survey of prior work and opportunities for future research
Kelsey Urgo, Jaime Arguello
Information Processing & Management (2022) Vol. 59, Iss. 2, pp. 102821-102821
Open Access | Times Cited: 20
A Random Forest Students’ Performance Prediction (RFSPP) Model Based on Students’ Demographic Features
Saba Batool, Junaid Rashid, Muhammad Wasif Nisar, et al.
(2021)
Closed Access | Times Cited: 23
Learning analytics to predict students’ performance: A case study of a neurodidactics-based collaborative learning platform
Carlos J. Pérez, Fernando Calle-Alonso, Miguel A. Vega‐Rodríguez
Education and Information Technologies (2022) Vol. 27, Iss. 9, pp. 12913-12938
Open Access | Times Cited: 16
Achieving Personalized Precision Education Using the Catboost Model during the COVID-19 Lockdown Period in Pakistan
Rimsha Asad, Saud Altaf, Shafiq Ahmad, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2714-2714
Open Access | Times Cited: 10
Online Students’ Learning Behaviors and Academic Success: An Analysis of LMS Log Data From Flipped Classrooms via Regularization
Jin Eun Yoo, Minjeong Rho, Yekyung Lee
IEEE Access (2022) Vol. 10, pp. 10740-10753
Open Access | Times Cited: 15
Learning Analytics Lens: Improving Quality of Higher Education
Monika Hooda
International Journal of Emerging Trends in Engineering Research (2020) Vol. 8, Iss. 5, pp. 1626-1646
Open Access | Times Cited: 22
A prediction model of student performance based on self-attention mechanism
Yan Chen, Ganglin Wei, Jiaxin Liu, et al.
Knowledge and Information Systems (2022) Vol. 65, Iss. 2, pp. 733-758
Closed Access | Times Cited: 13
Utilizing Random Forest and XGBoost DataMining Algorithms for Anticipating Students’Academic Performance
Mukesh Kumar, Navneet Kumar Singh, Jessica Wadhwa, et al.
International Journal of Modern Education and Computer Science (2024) Vol. 16, Iss. 2, pp. 29-44
Open Access | Times Cited: 2
A review on machine learning based student’s academic performance prediction systems
Rahul Katarya, Jalaj Gaba, Aryan Garg, et al.
(2021), pp. 254-259
Closed Access | Times Cited: 16
Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics
Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata
IEEE Access (2022) Vol. 10, pp. 26230-26241
Open Access | Times Cited: 12
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