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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:

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

Showing 1-25 of 253 citing articles:

An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
Kanchan Rajwar, Kusum Deep, Swagatam Das
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13187-13257
Open Access | Times Cited: 220
Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system
Jinchao Chen, Fuyuan Ling, Ying Zhang, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 101005-101005
Closed Access | Times Cited: 165
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, et al.
Swarm and Evolutionary Computation (2021) Vol. 67, pp. 100961-100961
Closed Access | Times Cited: 157
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
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
The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
Esraa Hassan, Mahmoud Y. Shams, Noha A. Hikal, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 11, pp. 16591-16633
Open Access | Times Cited: 109
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
R. Sowmya, M. Premkumar, Pradeep Jangir
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107532-107532
Closed Access | Times Cited: 91
An Improved Tunicate Swarm Algorithm with Best-random Mutation Strategy for Global Optimization Problems
Farhad Soleimanian Gharehchopogh
Journal of Bionic Engineering (2022) Vol. 19, Iss. 4, pp. 1177-1202
Closed Access | Times Cited: 90
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems
Fei Ming, Wenyin Gong, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 70, pp. 101055-101055
Closed Access | Times Cited: 70
Global-and-Local Attention-Based Reinforcement Learning for Cooperative Behaviour Control of Multiple UAVs
Jinchao Chen, Tingyang Li, Ying Zhang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 3, pp. 4194-4206
Closed Access | Times Cited: 62
Autonomous driving system: A comprehensive survey
Jingyuan Zhao, Wenyi Zhao, Bo Deng, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122836-122836
Closed Access | Times Cited: 59
A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems
Bladimir Toaza, Domokos Esztergár-Kiss
Applied Soft Computing (2023) Vol. 148, pp. 110908-110908
Open Access | Times Cited: 52
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 51
Development of the Natural Survivor Method (NSM) for designing an updating mechanism in metaheuristic search algorithms
Hamdi Tolga Kahraman, Mehmet Katı, Sefa Aras, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106121-106121
Closed Access | Times Cited: 46
Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig, et al.
Reviews of Geophysics (2024) Vol. 62, Iss. 1
Open Access | Times Cited: 36
Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
Xiaopeng Wang, Václav Snåšel, Seyedali Mirjalili, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111737-111737
Open Access | Times Cited: 30
Metaheuristic optimization algorithms for real-world electrical and civil engineering application: A review
Hegazy Rezk, A.G. Olabi, Tabbi Wilberforce, et al.
Results in Engineering (2024) Vol. 23, pp. 102437-102437
Open Access | Times Cited: 20
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization
Fangfang Zhu, Zhenhao Shuai, Yuer Lu, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101567-101567
Closed Access | Times Cited: 18
Multiple strategies based Grey Wolf Optimizer for feature selection in performance evaluation of open-ended funds
Dan Chang, Congjun Rao, Xinping Xiao, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101518-101518
Closed Access | Times Cited: 16
Enhanced crayfish optimization algorithm with differential evolution’s mutation and crossover strategies for global optimization and engineering applications
Biswajit Maiti, Saptadeep Biswas, Absalom E. Ezugwu, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
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
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
Haoxiang Qin, Yuyan Han, Biao Zhang, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 100992-100992
Closed Access | Times Cited: 90
Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems
Yichao He, Fazhan Zhang, Seyedali Mirjalili, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 101022-101022
Closed Access | Times Cited: 67
A critical problem in benchmarking and analysis of evolutionary computation methods
Jakub Kůdela
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1238-1245
Closed Access | Times Cited: 50
Random neighbor elite guided differential evolution for global numerical optimization
Qiang Yang, Jiaqi Yan, Xudong Gao, et al.
Information Sciences (2022) Vol. 607, pp. 1408-1438
Closed Access | Times Cited: 42
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