OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba, et al.
Swarm and Evolutionary Computation (2021) Vol. 67, pp. 100973-100973
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101248-101248
Open Access | Times Cited: 111

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

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

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

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
Zuyan Chen, Adam Francis, Shuai Li, et al.
Biomimetics (2022) Vol. 7, Iss. 4, pp. 144-144
Open Access | Times Cited: 71

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

Particle Swarm Optimization or Differential Evolution—A comparison
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106008-106008
Closed Access | Times Cited: 55

Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning
Nikola Savanović, Ana Toskovic, Aleksandar Petrović, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12563-12563
Open Access | Times Cited: 53

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

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

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

Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristic in a real-world application
Miguel Ángel Castán-Lascorz, A. Moreno, J. Arroyo
Results in Engineering (2025), pp. 103945-103945
Open Access | Times Cited: 1

Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
Miloš Antonijević, Miodrag Živković, Milica Djurić-Jovičić, et al.
Scientific Reports (2025) Vol. 15, 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

A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines
José Ruiz-Meza, Jairo R. Montoya‐Torres
Operations Research Perspectives (2022) Vol. 9, pp. 100228-100228
Open Access | Times Cited: 46

A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction
Alexandros Tzanetos, Maude Josée Blondin
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105521-105521
Closed Access | Times Cited: 37

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

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

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

Page 1 - Next Page

Scroll to top