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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:

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Daniel Molina, Javier Poyatos, Javier Del Ser, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 897-939
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Yutao Yang, Huiling Chen, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114864-114864
Open Access | Times Cited: 865
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
Eneko Osaba, Esther Villar-Rodríguez, Javier Del Ser, et al.
Swarm and Evolutionary Computation (2021) Vol. 64, pp. 100888-100888
Closed Access | Times Cited: 253
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
J. M. Górriz, Javier Ramı́rez, Andrés Ortíz, et al.
Neurocomputing (2020) Vol. 410, pp. 237-270
Open Access | Times Cited: 235
A survey on data‐efficient algorithms in big data era
Amina Adadi
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 215
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
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Absalom E. Ezugwu, Amit K. Shukla, Moyinoluwa B. Agbaje, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 6247-6306
Closed Access | Times Cited: 122
Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development
Fernando Peres, Mauro Castelli
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6449-6449
Open Access | Times Cited: 80
Binary Chimp Optimization Algorithm (BChOA): a New Binary Meta-heuristic for Solving Optimization Problems
Jianhao Wang, Mohammad Khishe, Mehrdad Kaveh, et al.
Cognitive Computation (2021) Vol. 13, Iss. 5, pp. 1297-1316
Closed Access | Times Cited: 80
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 76
Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems
Eşref Boğar, Selami Beyhan
Applied Soft Computing (2020) Vol. 95, pp. 106503-106503
Closed Access | Times Cited: 70
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
Shameem Ahmed, Kushal Kanti Ghosh, Seyedali Mirjalili, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107283-107283
Open Access | Times Cited: 58
Stock exchange trading optimization algorithm: a human-inspired method for global optimization
Hojjat Emami
The Journal of Supercomputing (2021) Vol. 78, Iss. 2, pp. 2125-2174
Open Access | Times Cited: 57
Classifying Metaheuristics: Towards a unified multi-level classification system
Helena Stegherr, Michael Heider, Jörg Hähner
Natural Computing (2020) Vol. 21, Iss. 2, pp. 155-171
Open Access | Times Cited: 56
Evaluating genetic algorithms through the approximability hierarchy
Alba Muñoz del Río, Fernando Rubio
Journal of Computational Science (2021) Vol. 53, pp. 101388-101388
Open Access | Times Cited: 46
Review of Metaheuristics Inspired from the Animal Kingdom
Elena-Niculina Drăgoi, Vlad Dafinescu
Mathematics (2021) Vol. 9, Iss. 18, pp. 2335-2335
Open Access | Times Cited: 41
Recent Advances and Application of Metaheuristic Algorithms: A Survey (2014–2020)
Neha Khanduja, Bharat Bhushan
Studies in computational intelligence (2020), pp. 207-228
Closed Access | Times Cited: 43
MFeature: Towards high performance evolutionary tools for feature selection
Yueting Xu, Hui Huang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115655-115655
Closed Access | Times Cited: 35
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
Ana I. Torre-Bastida, Josu Díaz-de-Arcaya, Eneko Osaba, et al.
Neural Computing and Applications (2021)
Open Access | Times Cited: 28
A comprehensive meta-analysis of emerging swarm intelligent computing techniques and their research trend
Preeti Monga, Manik Sharma, S. K. Sharma
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 9622-9643
Open Access | Times Cited: 28
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodríguez, et al.
Information Fusion (2020) Vol. 67, pp. 161-194
Open Access | Times Cited: 31
How Does the Number of Objective Function Evaluations Impact Our Understanding of Metaheuristics Behavior?
Anežka Kazíková, Michal Pluháček, Roman Šenkeřík
IEEE Access (2021) Vol. 9, pp. 44032-44048
Open Access | Times Cited: 25
Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications
Adam Słowik, Krzysztof Cpałka
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 1, pp. 546-558
Closed Access | Times Cited: 23
Improving the Protection of Wireless Sensor Network Using a Black Hole Optimization Algorithm (BHOA) on Best Feasible Node Capture Attack
Ankur Khare, Rajendra Gupta, Piyush Kumar Shukla
Lecture notes in networks and systems (2021), pp. 333-343
Closed Access | Times Cited: 20
Improved Manta Ray Foraging Optimization for Parameters Identification of Magnetorheological Dampers
Yingying Liao, Weiguo Zhao, Liying Wang
Mathematics (2021) Vol. 9, Iss. 18, pp. 2230-2230
Open Access | Times Cited: 19
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