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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:

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

Showing 1-25 of 75 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
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
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: 40
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
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
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
Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning
Gehad Ismail Sayed, Mohamed Abd Elfattah, Ashraf Darwish, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 21, pp. 31492-31510
Open Access | Times Cited: 5
Enhancing smart grid reliability with advanced load forecasting using deep learning
J. Jasmine, M. Germin Nisha, Rajesh Prasad
Electrical Engineering (2025)
Closed Access
An Optimized Deep-Forest Algorithm Using a Modified Differential Evolution Optimization Algorithm: A Case of Host-Pathogen Protein-Protein Interaction Prediction.
Jerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade
Computational and Structural Biotechnology Journal (2025)
Open 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
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
Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory
Filip Marković, Luka Jovanovic, Petar Spalević, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Hybrid feature-based neural network regression method for load profiles forecasting
Aidos Satan, Nurkhat Zhakiyev, Aliya Nugumanova, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
A Genetic Algorithm based Three HyperParameter optimization of Deep Long Short Term Memory (GA3P-DLSTM) for Predicting Electric Vehicles energy consumption
Boutheina Jlifi, Syrine Ferjani, Claude Duvallet
Computers & Electrical Engineering (2025) Vol. 123, pp. 110185-110185
Closed Access
Transportation mode detection through spatial attention-based transductive long short-term memory and off-policy feature selection
Mahsa Merikhipour, Shayan Khanmohammadidoustani, Muhammad Daud Abbasi
Expert Systems with Applications (2024) Vol. 267, pp. 126196-126196
Open Access | Times Cited: 4
Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification
Dimas Chaerul Ekty Saputra, Alfian Ma’arif, Khamron Sunat
Journal of Robotics and Control (JRC) (2024) Vol. 4, Iss. 6, pp. 896-904
Open Access | Times Cited: 3
A knowledge distillation based cross-modal learning framework for the lithium-ion battery state of health estimation
Wei Xie, Yuyu Zeng
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5489-5511
Open Access | Times Cited: 3
Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
Ali Alhamami, Sani I. Abba, Bashir Musa, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118766-118766
Closed Access | Times Cited: 3
On the value of parameter tuning in stacking ensemble model for software regression test effort estimation
Taher Labidi, Zaineb Sakhrawi
The Journal of Supercomputing (2023) Vol. 79, Iss. 15, pp. 17123-17145
Closed Access | Times Cited: 8
Residual current detection method based on improved VMD-BPNN
Yunpeng Bai, Xiangke Zhang, Yajing Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0289129-e0289129
Open Access | Times Cited: 2
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