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:

Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks
Miodrag Živković, Nebojša Bačanin, Tamara Živković, et al.
(2020), pp. 87-92
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization
Nebojša Bačanin, Ruxandra Stoean, Miodrag Živković, et al.
Mathematics (2021) Vol. 9, Iss. 21, pp. 2705-2705
Open Access | Times Cited: 163

Modified firefly algorithm for workflow scheduling in cloud-edge environment
Nebojša Bačanin, Miodrag Živković, Timea Bezdan, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 11, pp. 9043-9068
Open Access | Times Cited: 120

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: 108

Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
Nebojša Bačanin, Miodrag Živković, Fadi Al‐Turjman, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 91

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
Miodrag Živković, Milan Tair, K. Venkatachalam, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e956-e956
Open Access | Times Cited: 79

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: 78

Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
Miodrag Živković, Cătălin Stoean, Amit Chhabra, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1711-1711
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: 59

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: 58

Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm
Nebojša Bačanin, Timea Bezdan, K. Venkatachalam, et al.
IEEE Access (2021) Vol. 9, pp. 169135-169155
Open Access | Times Cited: 72

Multi-layer Perceptron Training Using Hybridized Bat Algorithm
Luka Gajic, Dušan Cvetnić, Miodrag Živković, et al.
Advances in intelligent systems and computing (2021), pp. 689-705
Closed Access | Times Cited: 57

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: 57

Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Nebojša Bačanin, Cătălin Stoean, Miodrag Živković, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4204-4204
Open Access | Times Cited: 53

Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset
Miodrag Živković, Luka Jovanovic, Milica Ivanovic, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 15-31
Closed Access | Times Cited: 46

The AdaBoost Approach Tuned by Firefly Metaheuristics for Fraud Detection
Aleksandar Petrović, Nebojša Bačanin, Miodrag Živković, et al.
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2022), pp. 834-839
Closed Access | Times Cited: 39

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: 28

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: 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

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: 25

GWO-SMSLO: Grey wolf optimization based clustering with secured modified Sea Lion optimization routing algorithm in wireless sensor networks
K. Dinesh, Santhosh Kumar SVN
Peer-to-Peer Networking and Applications (2024) Vol. 17, Iss. 2, pp. 585-611
Closed Access | Times Cited: 13

Parkinson’s Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm
Nebojša Bačanin, Aleksandar Petrović, Luka Jovanovic, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 12

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: 9

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: 9

Artificial Neural Networks with Soft Attention: Natural Language Processing for Phishing Email Detection Optimized with Modified Metaheuristics
Bojana Lakicevic, Žaklina Spalević, Igor Volas, et al.
Communications in computer and information science (2025), pp. 421-438
Closed Access | Times Cited: 1

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