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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:

Student achievement prediction using deep neural network from multi-source campus data
LI Xiao-yong, Yong Zhang, Huimin Cheng, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 6, pp. 5143-5156
Open Access | Times Cited: 25

Showing 25 citing articles:

A Method for Predicting the Academic Performances of College Students Based on Education System Data
Chuang Liu, Haojie Wang, Zhonghu Yuan
Mathematics (2022) Vol. 10, Iss. 20, pp. 3737-3737
Open Access | Times Cited: 23
Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review
Ahmet Kala, Orhan Torkul, Tuğba Tunacan, et al.
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 152-170
Open Access
Multi-Output Based Hybrid Integrated Models for Student Performance Prediction
Han Xue, Yanmin Niu
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5384-5384
Open Access | Times Cited: 9
Deep Learning Techniques for Predicting Student’s Academic Performance on Virtual Learning Environments: A Review
Bayan Alnasyan, Mohammed Basheri, Madini O. Alassafi
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
A Student Performance Prediction Model Based on Hierarchical Belief Rule Base with Interpretability
Minjie Liang, Guohui Zhou, Wei He, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2296-2296
Open Access | Times Cited: 2
Early Warning of Student Performance With Integration of Subjective and Objective Elements
Kuangyu Qin, Xiaoyang Xie, Qian He, et al.
IEEE Access (2023) Vol. 11, pp. 72601-72617
Open Access | Times Cited: 5
Long-term student performance prediction using learning ability self-adaptive algorithm
Yi Ren, Xinjie Yu
Complex & Intelligent Systems (2024)
Open Access | Times Cited: 1
Predicting Student Performance Using Mental Health and Linguistic Attributes with Deep Learning
Bakyalakshmi Venkatachalam, Kanchana Sivanraju
Revue d intelligence artificielle (2023) Vol. 37, Iss. 4, pp. 889-899
Open Access | Times Cited: 3
Hybrid attention network-based students behavior data analytics framework with enhanced capuchin search algorithm using multimodal data
Thulasi Bharathi Sridharan, P. S. S. Akilashri
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 2
Evaluation of Machine Learning Methods for Prediction Student Performance
Muskan Sihare
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 1, pp. 534-544
Open Access
An Intelligent Mathematics Problem-Solving Tutoring System Framework
Mohamad Ariffin Abu Bakar, Ahmad Termimi Ab Ghani, Lazim Abdullah
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 05, pp. 44-65
Open Access
Online course evaluation model based on graph auto-encoder
Wei Yuan, Shiyu Zhao, Lianzhou Wang, et al.
Intelligent Data Analysis (2024) Vol. 28, Iss. 6, pp. 1467-1489
Closed Access
A multidimensional analysis of self-esteem and individualism: A deep learning-based model for predicting elementary school students' academic performance
Jielin Deng, Xiaohua Huang, Xiaopeng Ren
Measurement Sensors (2024) Vol. 33, pp. 101147-101147
Open Access
ViSSR: A visual analytics system for student high-order social relationships at campus
Xiaoyong Li, Huimin Cheng, Sufang An, et al.
Intelligent Data Analysis (2024), pp. 1-26
Closed Access
Fuzzy Logic-Based Preliminary Risk Assessment for a Supervised Federated Learning Solution in Predicting Student Results
Zsolt Csaba Johanyák, Edit Tóth-Laufer, Levente Kovács
(2024), pp. 1-8
Closed Access
Ensemble Learning for Student Performance Assessment: Identifying and Analyzing Significant Affecting Factors in Higher Education
Taneja Sanjay Devkishan, Sanjay Singh, Ajay Kumar Bharti
(2024), pp. 271-277
Closed Access
Predictive Model for Enhancing Learning Skill Through Biometric Integration
Surekha Yashodharan, K. S. Vijayanand
Advances in educational technologies and instructional design book series (2024), pp. 413-446
Closed Access
A Study of Math Grade Prediction Models Combining Boosting and Decision Tree C5.0
Mengxiao Tang
(2024), pp. 181-186
Closed Access
Using machine learning to predict low academic performance at a Nigerian university
Ebiemi Allen Ekubo, Bukohwo Michael Esiefarienrhe
The African Journal of Information and Communication (AJIC) (2022), Iss. 30
Open Access | Times Cited: 2
Feature Extraction Techniques to Analyze Competitive Exam Result Data to Improvise Educational Policies
Richa Richa, Jyoti Singh
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023) Vol. 07, Iss. 12, pp. 1-13
Open Access
A Study on Student Performance Prediction and Intervention Mechanisms in MOOC
S. Lakshmi, C. P. Maheswaran
Lecture notes in networks and systems (2023), pp. 238-247
Closed Access
Analysis of educational data enabled by deep learning to increase student success
Gautam Kumar, Sachin Chaudhary, Sachin Choudhary
Multidisciplinary Science Journal (2023) Vol. 5
Open Access
Achievement Performance Prediction Model Based on Deep Neural Network of Student Similarity
Yixuan Rong, Tingnian He, Zhuoran Li, et al.
(2023)
Open Access
Closing the gap: exploring the untapped potential of machine learning in deaf students and hearing students’ academic performance
R. Mathusoothana S. Kumar
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 108
Open Access
Inferring Personality From Social Media User Behaviors Using Dense Net Convolutional Neural Networks
J. Jeba Emilyn, M. Murali, N. Prabakaran
Advances in computational intelligence and robotics book series (2023), pp. 173-184
Closed Access
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