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:

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
Muhammad Mujahid, Erol Kına, Furqan Rustam, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan
Geodesy and Geodynamics (2025)
Open Access | Times Cited: 2

Impact of imbalanced datasets on ML algorithms for malware classification
Palak Mittal, Harjinder Singh Lallie, Elzbieta Titis
Information Security Journal A Global Perspective (2025), pp. 1-14
Open Access

Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning
Rathachai Chawuthai, Teeratat Promchan, Jularak Rojsanga, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Self-organizing maps as a way to evaluate optimal strategies for balancing binary class distributions: a methodological approach
Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor
Research Square (Research Square) (2025)
Closed Access

Enhancing the classification of isolated theropod teeth using machine learning: a comparative study
Carolina S. Marques, Emmanuel Dufourq, Soraia Pereira, et al.
PeerJ (2025) Vol. 13, pp. e19116-e19116
Open Access

Machine learning-based prediction of energy poverty in Bangladesh: Unveiling key socioeconomic drivers for targeted policy actions
Shamal Chandra Karmaker, Ajoy Rjbongshi, Bikash Pal, et al.
Socio-Economic Planning Sciences (2025), pp. 102213-102213
Closed Access

Comparative analysis of Bangla news classification: a study of fake news detection and multiclass classification using BERT and FastText
Rajeev Barua, Mohammed Mahbubur Rahman, Usman Gani Joy
International Journal of Computers and Applications (2025), pp. 1-11
Closed Access

Deep Feature Fusion via Transfer Learning for Multi-Class Network Intrusion Detection
S. Lee, Donghwan Roh, Jaehak Yu, et al.
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 4851-4851
Open Access

QENN: breast cancer prediction using quantum-enhanced neural network
Vimal Dixit, Krishnan Rajkumar
The Journal of Supercomputing (2025) Vol. 81, Iss. 7
Closed Access

Data-Augmented Offline Reinforcement Learning with Bidirectional Temporal Reconstruction for Ventilator Parameter Optimization
Weiyi Zhao, Xihe Qiu, Bo Zhang, et al.
Research Square (Research Square) (2025)
Closed Access

Accounting Support Using Artificial Intelligence for Bank Statement Classification
Marco Lecci, Thomas Hanne
Computers (2025) Vol. 14, Iss. 5, pp. 193-193
Open Access

COVID-19 IgG antibodies detection based on CNN-BiLSTM algorithm combined with fiber-optic dataset
Mohammed Jawad Ahmed Alathari, Yousif Al Mashhadany, Ahmad Ashrif A. Bakar, et al.
Journal of Virological Methods (2024) Vol. 330, pp. 115011-115011
Closed Access | Times Cited: 1

Kolmogorov–Arnold Network in the Fault Diagnosis of Oil-Immersed Power Transformers
Thales Wulfert Cabral, Felippe V. Gomes, Eduardo Rodrigues de Lima, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7585-7585
Open Access | Times Cited: 1

Sales Forecasting with LSTM, Custom Loss Function, and Hyperparameter Optimization: A Case Study
Hyasseliny A. Hurtado-Mora, Alejandro H. García-Ruiz, Roberto Pichardo, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9957-9957
Open Access | Times Cited: 1

Machine Learning for Predicting Zearalenone Contamination Levels in Pet Food
Zhenlong Wang, Wei An, Jiaxue Wang, et al.
Toxins (2024) Vol. 16, Iss. 12, pp. 553-553
Open Access

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