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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:

Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection
Mohammed Tayebi, Said El Kafhali
Evolutionary Intelligence (2022) Vol. 17, Iss. 2, pp. 921-939
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting
M. Pavlov, Luka Jovanovic, Nebojša Bačanin, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 33
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrović, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1795-e1795
Open Access | Times Cited: 27
Combining Autoencoders and Deep Learning for Effective Fraud Detection in Credit Card Transactions
Mohammed Tayebi, Said El Kafhali
Operations Research Forum (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 2
Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection
Mohammed Tayebi, Said El Kafhali
Journal of Cybersecurity and Privacy (2025) Vol. 5, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm
Fatima Zahrae El-Hassani, Meryem Amri, Nour‐Eddine Joudar, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 12
A soft voting ensemble learning approach for credit card fraud detection
Mimusa Azim Mim, Nazia Majadi, Peal Mazumder
Heliyon (2024) Vol. 10, Iss. 3, pp. e25466-e25466
Open Access | Times Cited: 10
Research on Supply Chain Financial Risk Prevention Based on Machine Learning
Yang Lei, Hou Qiaoming, Tong Zhao
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 19
Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection
Priyanka Singh, Samir Kumar Borgohain, Achintya Kumar Sarkar, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 17
An Optimized Deep Learning Approach for Detecting Fraudulent Transactions
Said El Kafhali, Mohammed Tayebi, Hamza Sulimani
Information (2024) Vol. 15, Iss. 4, pp. 227-227
Open Access | Times Cited: 6
Deep learning-based credit card fraud detection in federated learning
V. V. Krishna Reddy, Radha Vijaya Kumar Reddy, Masthan Siva Krishna Munaga, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124493-124493
Closed Access | Times Cited: 5
Green synthesis optimization with artificial intelligence studies of copper–gallic acid metal–organic framework and its application in dye removal from wastewater
Badril Azhar, Cries Avian, Ardila Hayu Tiwikrama
Journal of Molecular Liquids (2023) Vol. 389, pp. 122844-122844
Closed Access | Times Cited: 11
Multi-channel advertising budget allocation: A novel method using Q-learning and mutual learning-based artificial bee colony
B. Wang, Pourya Zareeihemat
Expert Systems with Applications (2025), pp. 126649-126649
Closed Access
Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory Based Networks Approach
Aleksandar Stojković, Boško Nikolić, Miodrag Živković, et al.
IEEE Access (2025) Vol. 13, pp. 25198-25222
Open Access
Predicting workability and mechanical properties of bentonite plastic concrete using hybrid ensemble learning
Amir Tavana Amlashi, Ali Reza Ghanizadeh, Shadi Firouzranjbar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning
Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2946-2946
Open Access
A Novel Approach based on XGBoost Classifier and Bayesian Optimization for Credit Card Fraud Detection
Mohammed Tayebi, Said El Kafhali
Cyber Security and Applications (2025), pp. 100093-100093
Open Access
Credit Card Fraud Detection Based on Hyperparameters ‎Optimization Using the Differential Evolution
Mohammed Tayebi, Said El Kafhali
International Journal of Information Security and Privacy (2022) Vol. 16, Iss. 1, pp. 1-21
Closed Access | Times Cited: 17
A comparison of novel hybrid ensemble learners to predict the compressive strength of green engineering materials: a case of concrete composed of rice husk ash
Ali Reza Ghanizadeh, Amir Tavana Amlashi, Samer Dessouky, et al.
European Journal of Environmental and Civil engineering (2024), pp. 1-28
Closed Access | Times Cited: 3
Solving the 0/1 Knapsack Problem Using Metaheuristic and Neural Networks for the Virtual Machine Placement Process in Cloud Computing Environment
Mohamed Abid, Said El Kafhali, Abdellah Amzil, et al.
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 7
Optimization of UAV Flight Paths in Multi-UAV Networks for Efficient Data Collection
Mohamed Abid, Said El Kafhali, Abdellah Amzil, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
Optimization of microwave-assisted extraction in the purification of triglycerides from non-edible crude Calophyllum inophyllum oil as biodiesel feedstock using artificial intelligence
Badril Azhar, Setiyo Gunawan, Maktum Muharja, et al.
South African Journal of Chemical Engineering (2023) Vol. 47, pp. 312-321
Open Access | Times Cited: 4
Efficient loss updated XGBoost with deep emended genetic algorithm for detecting online fraudulent transactions
R. Lingeswari, S. Brindha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 37, pp. 84471-84494
Closed Access | Times Cited: 1
Generative Adversarial Neural Networks based Oversampling Technique for Imbalanced Credit Card Dataset
Said El Kafhali, Mohammed Tayebi
(2022), pp. 1-5
Closed Access | Times Cited: 7
XGBoost based solutions for detecting fraudulent credit card transactions
Said El Kafhali, Mohammed Tayebi
(2022), pp. 1-6
Closed Access | Times Cited: 5
A Machine Learning-Based Framework for Detecting Credit Card Anomalies and Fraud
Maram Alamri, Mourad Ykhlef
(2023), pp. 1-7
Closed Access | Times Cited: 2
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