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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:

Improved students’ performance prediction for multi-class imbalanced problems using hybrid and ensemble approach in educational data mining
Hasniza Hassan, Nor Bahiah Ahmad, Syahid Anuar
Journal of Physics Conference Series (2020) Vol. 1529, Iss. 5, pp. 052041-052041
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
Tarid Wongvorachan, Surina He, Okan Bulut
Information (2023) Vol. 14, Iss. 1, pp. 54-54
Open Access | Times Cited: 165
Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks
Aya Nabil, Mohammed Seyam, Ahmed AbouElfetouh
IEEE Access (2021) Vol. 9, pp. 140731-140746
Open Access | Times Cited: 105
A survey on educational data mining methods used for predicting students' performance
Wen Xiao, Ping Ji, Juan Hu
Engineering Reports (2021) Vol. 4, Iss. 5
Closed Access | Times Cited: 59
Practical early prediction of students’ performance using machine learning and eXplainable AI
Yeonju Jang, Seongyune Choi, Heeseok Jung, et al.
Education and Information Technologies (2022) Vol. 27, Iss. 9, pp. 12855-12889
Closed Access | Times Cited: 47
ANN-LSTM: A deep learning model for early student performance prediction in MOOC
Fatima Ahmed A.Al-azazi, Mossa Ghurab
Heliyon (2023) Vol. 9, Iss. 4, pp. e15382-e15382
Open Access | Times Cited: 30
Academic course planning recommendation and students’ performance prediction multi-modal based on educational data mining techniques
Ahmed M. Kord, Ahmed Aboelfetouh, Samaa M. Shohieb
Journal of Computing in Higher Education (2025)
Open Access | Times Cited: 1
Predicting Academic Performance Using an Efficient Model Based on Fusion of Classifiers
Ansar Siddique, Asiya Jan, Fiaz Majeed, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11845-11845
Open Access | Times Cited: 47
Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review
Siti Dianah Abdul Bujang, Ali Selamat, Ondřej Krejcar, et al.
IEEE Access (2022) Vol. 11, pp. 1970-1989
Open Access | Times Cited: 23
Quantifying variability in predictions of student performance: Examining the impact of bootstrap resampling in data pipelines
Roberto Bertolini, Stephen J. Finch, Ross H. Nehm
Computers and Education Artificial Intelligence (2022) Vol. 3, pp. 100067-100067
Open Access | Times Cited: 20
Convolutional Neural Network for Predicting Student Academic Performance in Intelligent Tutoring System
Fatema Alshaikh, Nabil M. Hewahi
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 239-258
Open Access | Times Cited: 4
Improving prediction of class-imbalanced time series through curation of training data: A case study of frozen ground prediction
Mousumi Ghosh, Aatish Anshuman, Mukesh Kumar
Journal of Hydrology X (2025), pp. 100201-100201
Open Access
Accurate multi-category student performance forecasting at early stages of online education using neural networks
Naveed Ur Rehman Junejo, Muhammad Wasim Nawaz, Qingsheng Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A critical review of data mining in education on the levels and aspects of education
Fuseini Inusah, Yaw Marfo Missah
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 41-59
Closed Access | Times Cited: 3
Balancing sequential data to predict students at-risk using adversarial networks
Hajra Waheed, Muhammad Anas, Saeed‐Ul Hassan, et al.
Computers & Electrical Engineering (2021) Vol. 93, pp. 107274-107274
Closed Access | Times Cited: 19
Advancing Sustainable Learning Environments: A Literature Review on Data Encoding Techniques for Student Performance Prediction using Deep Learning Models in Education
Mariame Ouahi, Samira Khoulji, Mohammed Laarbi Kerkeb
E3S Web of Conferences (2024) Vol. 477, pp. 00074-00074
Open Access | Times Cited: 1
LSTM-CNN Hybrid Model Performance Improvement with BioWordVec for Biomedical Report Big Data Classification
Dian Kurniasari, Warsono Warsono, Mustofa Usman, et al.
Science & Technology Indonesia (2024) Vol. 9, Iss. 2, pp. 273-283
Open Access | Times Cited: 1
RnkHEU: A Hybrid Feature Selection Method for Predicting Students’ Performance
Wen Xiao, Ping Ji, Juan Hu
Scientific Programming (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 9
A prediction model based machine learning algorithms with feature selection approaches over imbalanced dataset
Alaa Khalaf Hamoud, Mohammed B. M. Kamel, Alaa Sahl Gaafar, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 28, Iss. 2, pp. 1105-1105
Open Access | Times Cited: 6
An Effectual Model for Early Prediction of Academic Perfomance using Ensemble Classification
Chietra Jalota
Journal of Language and Linguistics in Society (2023), Iss. 32, pp. 19-33
Open Access | Times Cited: 2
Machine Learning-Based E-Learners’ Engagement Level Prediction Using Benchmark Datasets
God’swill Theophilus, Christopher Ifeanyi Eke
International Journal of Applied Information Systems (2023) Vol. 12, Iss. 41, pp. 23-32
Open Access | Times Cited: 2
Investigation of ensemble methods in terms of statistics: TIMMS 2019 example
Özlem Bezek Güre
Neural Computing and Applications (2023) Vol. 35, Iss. 32, pp. 23507-23520
Closed Access | Times Cited: 1
Increment of Academic Performance Prediction of At‐Risk Student by Dealing With Data Imbalance Problem
Cu Nguyen Giap, Thi-Lich Nghiem, Thi Thuy Ngo, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
Improve Imbalanced Multiclass Classification Based on Modified SMOTE and Feature Selection for Student Grade Prediction
Siti Dianah, Ali Selamat, Ondřej Krejcar
Advances in computational intelligence and robotics book series (2022), pp. 371-389
Closed Access | Times Cited: 2
Arbitrator Miniature: A Paradigm using Data Science Methods to Predict Academic Performance
Saleem Malik, K. Jothimani
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Election model classifications of problem-based learning using a machine learning technique
Cep Lukman Rohmat, Saeful Anwar, Arif Rinaldi Dikananda, et al.
IOP Conference Series Materials Science and Engineering (2021) Vol. 1088, Iss. 1, pp. 012030-012030
Open Access | Times Cited: 1
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