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:

Dropout prediction in Moocs using deep learning and machine learning
Ram B. Basnet, Clayton Johnson, Tenzin Doleck
Education and Information Technologies (2022) Vol. 27, Iss. 8, pp. 11499-11513
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Exploring the Transformative Role of Artificial Intelligence and Metaverse in Education: A Comprehensive Review
Devanshu Kumar, Md. Alimul Haque, Khushboo Mishra, et al.
Metaverse Basic and Applied Research (2023) Vol. 2, pp. 55-55
Open Access | Times Cited: 63

A comparative study on student performance prediction using machine learning
Yawen Chen, Linbo Zhai
Education and Information Technologies (2023) Vol. 28, Iss. 9, pp. 12039-12057
Closed Access | Times Cited: 33

Predicting student dropouts with machine learning: An empirical study in Finnish higher education
Matti Vaarma, Hongxiu Li
Technology in Society (2024) Vol. 76, pp. 102474-102474
Open Access | Times Cited: 9

Deciphering the impact of machine learning on education: Insights from a bibliometric analysis using bibliometrix R-package
Zilong Zhong, Hui Guo, Kun Qian
Education and Information Technologies (2024) Vol. 29, Iss. 16, pp. 21995-22022
Closed Access | Times Cited: 5

A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms
Saad Alghamdi, Ben Soh, Alice Li
Multimodal Technologies and Interaction (2025) Vol. 9, Iss. 1, pp. 3-3
Open Access

Predicting data science performance from log data: using machine learning
Tenzin Doleck, Pedram Agand, Dylan Pirrotta
Education and Information Technologies (2025)
Closed Access

A Chatbot Student Support System in Open and Distance Learning Institutions
Juliana Ngozi Ndunagu, Christiana Uchenna Ezeanya, Benjamin Onuorah, et al.
Computers (2025) Vol. 14, Iss. 3, pp. 96-96
Open Access

Design of a Distance Learning Supervision System Based on Time-Series Data of Learning Behaviors
Yan Zhu
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 2, pp. 337-348
Open Access

The Adventure of Artificial Intelligence Technology in Education: Comprehensive Scientific Mapping Analysis
Adem KARACA, Bahadır KILCAN
Participatory Educational Research (2023) Vol. 10, Iss. 4, pp. 144-165
Open Access | Times Cited: 9

Learning behavior feature fused deep learning network model for MOOC dropout prediction
Hanqiang Liu, Xiao Chen, Feng Zhao
Education and Information Technologies (2023) Vol. 29, Iss. 3, pp. 3257-3278
Closed Access | Times Cited: 7

Optimised SMOTE-based Imbalanced Learning for Student Dropout Prediction
Sheikh Wakie Masood, Munmi Gogoi, Shahin Ara Begum
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2

A Model for Predicting Dropout of Higher Education Students
Anaíle Mendes Rabelo, Luis E. Zárate
Data Science and Management (2024)
Open Access | Times Cited: 2

Ensemble Deep Learning Network Model for Dropout Prediction in MOOCs
Gaurav Kumar, Amar Singh, Ashok Sharma
International journal of electrical and computer engineering systems (2023) Vol. 14, Iss. 2, pp. 187-196
Open Access | Times Cited: 6

The MOOC Post-Mortem: Bibliometric and Systematic Analyses of Research on Massive Open Online Courses (MOOCs), 2009 to 2022
Jon Billsberry, Irit Alony
Organizational Behavior Teaching Review (2023) Vol. 48, Iss. 4, pp. 634-670
Open Access | Times Cited: 3

Predictive Video Analytics in Online Courses: A Systematic Literature Review
Ozan Raşit Yürüm, Tuğba Taşkaya Temizel, Soner Yıldırım
Technology Knowledge and Learning (2023) Vol. 29, Iss. 4, pp. 1907-1937
Closed Access | Times Cited: 3

Predicting Dropout in Programming MOOCs through Demographic Insights
Jakub Swacha, Karolina Muszyńska
Electronics (2023) Vol. 12, Iss. 22, pp. 4674-4674
Open Access | Times Cited: 3

Analysis of Student Study of Virtual Learning Using Machine Learning Techniques
Neha Singh, Umesh Chandra Jaiswal
International Journal of Software Science and Computational Intelligence (2022) Vol. 14, Iss. 1, pp. 1-21
Closed Access | Times Cited: 4

Using Feature Interaction for Mining Learners’ Hidden Information in MOOC Dropout Prediction
Tingfeng Pan, Guang Feng, Xin Liu, et al.
Lecture notes in computer science (2023), pp. 507-517
Closed Access | Times Cited: 2

MOOC performance prediction and analysis via Bayesian network and Maslow’s hierarchical needs theory
Luyu Zhu, Jia Hao, Jianhou Gan
Interactive Learning Environments (2023), pp. 1-17
Closed Access | Times Cited: 2

Predicting MOOC Dropout Using Ensemble Models Based on RNN and GRU
Kowsar Talebi, Zeinab Torabi, Negin Daneshpour
Research Square (Research Square) (2024)
Open Access

SoK: The Impact of Educational Data Mining on Organisational Administration
Hamad Almaghrabi, Ben Soh, Alice Li, et al.
Information (2024) Vol. 15, Iss. 11, pp. 738-738
Open Access

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