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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:

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

Showing 1-25 of 93 citing articles:

Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
Nebojša Bačanin, Luka Jovanovic, Miodrag Živković, et al.
Information Sciences (2023) Vol. 642, pp. 119122-119122
Open Access | Times Cited: 83
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
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: 23
The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere
Nebojša Bačanin, Mirjana Perišić, Gordana Jovanović, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172195-172195
Closed Access | Times Cited: 14
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
Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
Bratislav Predić, Luka Jovanovic, Vladimir Šimić, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2249-2269
Open Access | Times Cited: 34
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
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
Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm
Mohamed Salb, Luka Jovanovic, Nebojša Bačanin, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12687-12687
Open Access | Times Cited: 24
A novel governing equation for shale gas production prediction via physics-informed neural networks
Hai Wang, Muming Wang, Shengnan Chen, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123387-123387
Open Access | Times Cited: 11
Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning
Jelica Cincovic, Luka Jovanovic, Boško Nikolić, et al.
IEEE Access (2024) Vol. 12, pp. 26719-26734
Open Access | Times Cited: 9
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
Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques
Goran Radic, Luka Jovanovic, Nebojša Bačanin, et al.
IEEE Access (2024) Vol. 12, pp. 122377-122400
Open Access | Times Cited: 6
Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction
Luka Jovanovic, Miodrag Živković, Nebojša Bačanin, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 24, pp. 14727-14756
Open Access | Times Cited: 5
Optimizing renewable energy utilization through production and demand forecasting using optimized recurrent networks
Nebojša Bačanin, M. Pavlov, Stanislava Kozakijevic, et al.
Elsevier eBooks (2025), pp. 203-225
Closed Access
Using Text Mining to Identify Employee Dissatisfaction Optimized by Modified Metaheuristics
Vule Mizdraković, Luka Jovanovic, Miodrag Živković, et al.
Algorithms for intelligent systems (2025), pp. 1-14
Closed Access
Adaboost Optimized by Sinh Cosh Algorithm for Prediction of Software Defects
Saramma John Villoth, John Philipose Villoth, Tamara Živković, et al.
Communications in computer and information science (2025), pp. 53-68
Closed Access
Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection
Dejan Pilčević, Milica Djurić-Jovičić, Miloš Antonijević, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 13
XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems
Miodrag Živković, Luka Jovanovic, Nebojša Bačanin, et al.
Algorithms for intelligent systems (2024), pp. 1-16
Closed Access | Times Cited: 4
Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks
Mohammed Alruqimi, Luca Di Persio
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Sunspot Occurrence Forecasting With Metaheuristic Optimized Recurrent Neural Networks
Kanchana Devi, Joseph Mani, Hotefa Shaker, et al.
Theoretical and Applied Computational Intelligence (2023) Vol. 1, Iss. 1, pp. 15-26
Open Access | Times Cited: 11
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