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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:

COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
Miodrag Živković, Nebojša Bačanin, K. Venkatachalam, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102669-102669
Open Access | Times Cited: 292

Showing 1-25 of 292 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: 161
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: 116
What determines urban resilience against COVID-19: City size or governance capacity?
Zhen Chu, Mingwang Cheng, Malin Song
Sustainable Cities and Society (2021) Vol. 75, pp. 103304-103304
Open Access | Times Cited: 112
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: 107
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
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: 90
Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment
Amin Ullah, Syed Myhammad Anwar, Jianqiang Li, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 1607-1637
Open Access | Times Cited: 86
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: 78
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
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: 73
A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms
Mehdi A. Kamran, Reza Kia, Fariba Goodarzian, et al.
Socio-Economic Planning Sciences (2022) Vol. 85, pp. 101378-101378
Open Access | Times Cited: 70
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
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: 57
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: 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
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
Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 16899-16919
Open Access | Times Cited: 100
Digital Technology-Based Telemedicine for the COVID-19 Pandemic
Yuting Shen, Chen Liang, Wenwen Yue, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 98
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design
Jameer Basha, Nebojša Bačanin, Nikola Vukobrat, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6654-6654
Open Access | Times Cited: 85
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
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
Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade
Timea Bezdan, Stefan Milosevic, K. Venkatachalam, et al.
(2021), pp. 171-176
Closed Access | Times Cited: 64
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, Parisa Motie, et al.
Heliyon (2021) Vol. 7, Iss. 10, pp. e08143-e08143
Open Access | Times Cited: 59
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