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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:

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
Rianne Conijn, Chris Snijders, Ad Kleingeld, et al.
IEEE Transactions on Learning Technologies (2016) Vol. 10, Iss. 1, pp. 17-29
Closed Access | Times Cited: 321

Showing 26-50 of 321 citing articles:

A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE)
Swati Joshi, P. J. Pramod
Heliyon (2023) Vol. 9, Iss. 2, pp. e13424-e13424
Open Access | Times Cited: 39
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
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
Enhancing the hiring process: A predictive system for soft skills assessment
Asmaa Lamjid, Anass Ariss, Imane Ennejjai, et al.
Data & Metadata (2024) Vol. 3
Closed Access | Times Cited: 9
Interpretable Multiview Early Warning System Adapted to Underrepresented Student Populations
Alberto Cano, John D. Leonard
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 198-211
Closed Access | Times Cited: 72
Utilizing Student Time Series Behaviour in Learning Management Systems for Early Prediction of Course Performance
Fu Chen, Ying Cui
Journal of Learning Analytics (2020) Vol. 7, Iss. 2, pp. 1-17
Open Access | Times Cited: 70
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering
Ling Huang, Chang‐Dong Wang, Hongyang Chao, et al.
IEEE Access (2019) Vol. 7, pp. 19550-19563
Open Access | Times Cited: 69
Technology Acceptance Model and Moodle: A systematic mapping study
Gabriel García Murillo, Pavel Novoa‐Hernández, Rocío Serrano Rodriǵuez
Information Development (2020) Vol. 37, Iss. 4, pp. 617-632
Closed Access | Times Cited: 66
Predicting Academic Performance for College Students
Huaxiu Yao, Defu Lian, Yi Cao, et al.
ACM Transactions on Intelligent Systems and Technology (2019) Vol. 10, Iss. 3, pp. 1-21
Closed Access | Times Cited: 65
Effectiveness of online presence in a blended higher learning environment in the Pacific
Bibhya Sharma, Ravneil Nand, Mohammed Naseem, et al.
Studies in Higher Education (2019) Vol. 45, Iss. 8, pp. 1547-1565
Closed Access | Times Cited: 65
Feature Extraction for Next-Term Prediction of Poor Student Performance
Agoritsa Polyzou, George Karypis
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 237-248
Closed Access | Times Cited: 58
Student Performance Prediction with Short-Term Sequential Campus Behaviors
Xinhua Wang, Xuemeng Yu, Lei Guo, et al.
Information (2020) Vol. 11, Iss. 4, pp. 201-201
Open Access | Times Cited: 56
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: 55
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, et al.
International Journal of Electrical Engineering Education (2021)
Closed Access | Times Cited: 53
A Pandemic of Busywork: Increased Online Coursework Following the Transition to Remote Instruction is Associated with Reduced Academic Achievement
Benjamin Motz, Joshua Quick, Julie Wernert, et al.
Online Learning (2021) Vol. 25, Iss. 1
Open Access | Times Cited: 48
On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining
Gomathy Ramaswami, Teo Sušnjak, Anuradha Mathrani
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 1, pp. 6-6
Open Access | Times Cited: 36
Integrating LA and EDM for Improving Students Success in Higher Education Using FCN Algorithm
Monika Hooda, Chhavi Rana, Omdev Dahiya, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 30
Prediction of learning outcomes with a machine learning algorithm based on online learning behavior data in blended courses
Yangyang Luo, Xibin Han, Chaoyang Zhang
Asia Pacific Education Review (2022) Vol. 25, Iss. 2, pp. 267-285
Closed Access | Times Cited: 30
Connecting the dots – A literature review on learning analytics indicators from a learning design perspective
Atezaz Ahmad, Ján Schneider, David Griffiths, et al.
Journal of Computer Assisted Learning (2022)
Open Access | Times Cited: 30
GA-CNN: Analyzing student’s cognitive skills with EEG data using a hybrid deep learning approach
S. Devi, S. Sophia
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105888-105888
Closed Access | Times Cited: 8
Learning analytics: A glance of evolution, status, and trends according to a proposed taxonomy
Alejandro Peña‐Ayala
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 3
Closed Access | Times Cited: 58
Prediction model for students' future development by deep learning and tensorflow artificial intelligence engine
Wilton Fok, Yanjing He, Ho Yeung, et al.
(2018), pp. 103-106
Closed Access | Times Cited: 58
Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems
Luiz Antonio Buschetto Macarini, Cristian Cechinel, Matheus Francisco Batista Machado, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5523-5523
Open Access | Times Cited: 54
From Lab to Production: Lessons Learnt and Real-Life Challenges of an Early Student-Dropout Prevention System
Álvaro Ortigosa, Rosa M. Carro, Javier Bravo, et al.
IEEE Transactions on Learning Technologies (2019) Vol. 12, Iss. 2, pp. 264-277
Open Access | Times Cited: 50
Early Prediction of Student Performance in Blended Learning Courses Using Deep Neural Networks
Rodolfo C. Raga, Jennifer Raga
(2019), pp. 39-43
Closed Access | Times Cited: 49

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