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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:

Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection
Dijana Jovanovic, Miloš Antonijević, Miloš S. Stanković, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2272-2272
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Miodrag Živković, Nebojša Bačanin, Miloš Antonijević, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3798-3798
Open Access | Times Cited: 106
Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator
Luka Jovanovic, Dejan Jovanović, Nebojša Bačanin, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14616-14616
Open Access | Times Cited: 93
On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1434-1434
Open Access | Times Cited: 75
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation
Cătălin Stoean, Miodrag Živković, Aleksandra Bozovic, et al.
Axioms (2023) Vol. 12, Iss. 3, pp. 266-266
Open Access | Times Cited: 58
The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate
Luka Jovanovic, Gordana Jovanović, Mirjana Perišić, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 55
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
Tamara Živković, Boško Nikolić, Vladimir Šimić, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110659-110659
Closed Access | Times Cited: 38
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: 29
Tuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics
Aleksa Ćuk, Timea Bezdan, Luka Jovanovic, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Vule Mizdraković, Maja Kljajić, Miodrag Živković, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112026-112026
Open Access | Times Cited: 14
A systematic review of AI-enhanced techniques in credit card fraud detection
Ibrahim Y. Hafez, Alaaeldin M. Hafez, Ahmed M. Shamsan Saleh, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering
Nebojša Bačanin, Miodrag Živković, Cătălin Stoean, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4173-4173
Open Access | Times Cited: 55
Machine Learning to Develop Credit Card Customer Churn Prediction
Dana Al-Najjar, Nadia Al‐Rousan, Hazem Al‐Najjar
Journal of theoretical and applied electronic commerce research (2022) Vol. 17, Iss. 4, pp. 1529-1542
Open Access | Times Cited: 39
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Miloš Dobrojević, Miodrag Živković, Amit Chhabra, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1405-e1405
Open Access | Times Cited: 37
Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
Aleksandar Petrović, Robertas Damaševičius, Luka Jovanovic, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9181-9181
Open Access | Times Cited: 26
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0
Luka Jovanovic, Nebojša Bačanin, Miodrag Živković, et al.
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 25
Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis
M. Todorovic, Nemanja Stanišić, Miodrag Živković, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110955-110955
Closed Access | Times Cited: 24
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data
Ana Minic, Luka Jovanovic, Nebojša Bačanin, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9878-9878
Open Access | Times Cited: 24
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7254-7254
Open Access | Times Cited: 23
Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
Nebojša Bačanin, Miodrag Živković, Miloš Antonijević, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 7269-7304
Open Access | Times Cited: 23
Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Nebojša Bačanin, Vladimir Šimić, Miodrag Živković, et al.
Annals of Operations Research (2023)
Closed Access | Times Cited: 21
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
Nebojša Bačanin, Cătălin Stoean, Dušan Marković, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76035-76075
Closed Access | Times Cited: 8
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2031-e2031
Open Access | Times Cited: 8
Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search
Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin, et al.
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate
Gordana Jovanović, Mirjana Perišić, Nebojša Bačanin, et al.
Toxics (2023) Vol. 11, Iss. 4, pp. 394-394
Open Access | Times Cited: 19
The XGBoost Approach Tuned by TLB Metaheuristics for Fraud Detection
Aleksandar Petrović, Miloš Antonijević, Ivana Strumberger, et al.
(2023), pp. 219-234
Open Access | Times Cited: 15
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