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:

Application of Machine Learning on Student Data for the Appraisal of Academic Performance
Mohamed Alloghani, Dhiya Al‐Jumeily, Abir Hussain, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2018), pp. 157-162
Closed Access | Times Cited: 13

Showing 13 citing articles:

Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review
Ilie Gligorea, Marius Cioca, Romana Oancea, et al.
Education Sciences (2023) Vol. 13, Iss. 12, pp. 1216-1216
Open Access | Times Cited: 247

Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection
Hari Gonaygunta, Geeta Sandeep Nadella, Priyanka Pawar, et al.
(2024), pp. 79-84
Closed Access | Times Cited: 10

Measuring and Predicting Student’s Academic Performance Using ML
Sumit Mohan, Gaurang Gujrati, N. Senthamarai
Smart innovation, systems and technologies (2025), pp. 387-403
Closed Access

Visual-Predictive Data Analysis Approach for the Academic Performance of Students from a Peruvian University
David Orrego Granados, Jonathan Ugalde, Rodrigo Salas, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11251-11251
Open Access | Times Cited: 15

Enhancing student experience and learning with iterative design in an intelligent educational game
Ryan Hare, Sarah L. Ferguson, Ying Tang
British Journal of Educational Technology (2024)
Open Access | Times Cited: 2

Student performance prediction using datamining classification algorithms: Evaluating generalizability of models from geographical aspect
A Parhizkar, Golnaz Tejeddin, Toktam Khatibi
Education and Information Technologies (2023) Vol. 28, Iss. 11, pp. 14167-14185
Closed Access | Times Cited: 5

A study on the relation between industry 4.0 technologies and gamification in e-learning
Renata Pereira Oliveira, Igor Leão dos Santos, Cristina Gomes de Souza, et al.
Interactive Technology and Smart Education (2022) Vol. 20, Iss. 4, pp. 449-474
Closed Access | Times Cited: 8

Towards the Selection of Best Machine Learning Model for Student Performance Analysis and Prediction
Muhammad Faisal Masood, Aimal Khan, Farhan Hussain, et al.
(2019), pp. 12-17
Closed Access | Times Cited: 9

Big Data Analytics in Education: A Data-Driven Literature Review
Negar Shabihi, Mi Song Kim
2022 International Conference on Advanced Learning Technologies (ICALT) (2021)
Closed Access | Times Cited: 8

Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods
Leonardo Emiro Contreras Bravo, Nayibe Nieves-Pimiento, Karolina Gonzalez-Guerrero
Ingeniería (2022) Vol. 28, Iss. 1, pp. e19514-e19514
Open Access | Times Cited: 6

Academic Performance Evaluation Using Data Mining in Times of Pandemic
Edgar Aurelio Taya-Acosta, Hugo Manuel Barraza Vizcarra, Ruth de Jesus Ramirez-Rejas, et al.
TECHNO REVIEW International Technology Science and Society Review /Revista Internacional de Tecnología Ciencia y Sociedad (2022) Vol. 11, Iss. 1, pp. 89-106
Closed Access | Times Cited: 1

Academic Data Analysis and Projection Using Artificial Intelligence
K. Kanagaraj, Joyce R. Amirtharaj, K. Ramya Barathi
Lecture notes on data engineering and communications technologies (2022), pp. 155-170
Closed Access

The Most Potential Decision Tree Technique to Classify the Large Dataset of Students
Afiqah Zahirah Zakaria, Ali Selamat, Hamido Fujita, et al.
Lecture notes in electrical engineering (2021), pp. 575-585
Closed Access

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