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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:

Volleyball Premier League Algorithm
Reza Moghdani, Khodakaram Salimifard
Applied Soft Computing (2017) Vol. 64, pp. 161-185
Closed Access | Times Cited: 266

Showing 1-25 of 266 citing articles:

Aquila Optimizer: A novel meta-heuristic optimization algorithm
Laith Abualigah, Dalia Yousri, Mohamed Abd Elaziz, et al.
Computers & Industrial Engineering (2021) Vol. 157, pp. 107250-107250
Closed Access | Times Cited: 1669
Henry gas solubility optimization: A novel physics-based algorithm
Fatma A. Hashim, Essam H. Houssein, Mai S. Mabrouk, et al.
Future Generation Computer Systems (2019) Vol. 101, pp. 646-667
Open Access | Times Cited: 874
A survey on new generation metaheuristic algorithms
Tansel Dökeroğlu, Ender Sevinç, Tayfun Küçükyılmaz, et al.
Computers & Industrial Engineering (2019) Vol. 137, pp. 106040-106040
Closed Access | Times Cited: 697
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
Mohammad Dehghani, Zeinab Montazeri, Eva Trojovská, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110011-110011
Open Access | Times Cited: 485
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
Malik Braik, Abdelaziz I. Hammouri, Jaffar Atwan, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108457-108457
Closed Access | Times Cited: 468
Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
Prachi Agrawal, Hattan F. Abutarboush, Talari Ganesh, et al.
IEEE Access (2021) Vol. 9, pp. 26766-26791
Open Access | Times Cited: 430
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
Ali Wagdy Mohamed, Anas A. Hadi, Ali Khater Mohamed
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 7, pp. 1501-1529
Closed Access | Times Cited: 394
Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems
Essam H. Houssein, Mohammed R. Saad, Fatma A. Hashim, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103731-103731
Closed Access | Times Cited: 394
Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103330-103330
Closed Access | Times Cited: 342
Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
Mohammad Dehghani, Štěpán Hubálovský, Pavel Trojovský
IEEE Access (2021) Vol. 9, pp. 162059-162080
Open Access | Times Cited: 328
Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
Mohammad Dehghani, Pavel Trojovský
Frontiers in Mechanical Engineering (2023) Vol. 8
Open Access | Times Cited: 252
An intensify Harris Hawks optimizer for numerical and engineering optimization problems
Vikram Kumar Kamboj, Ayani Nandi, Ashutosh Bhadoria, et al.
Applied Soft Computing (2019) Vol. 89, pp. 106018-106018
Closed Access | Times Cited: 243
Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 392, pp. 114616-114616
Closed Access | Times Cited: 224
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: 224
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Absalom E. Ezugwu, Amit K. Shukla, Rahul Nath, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 6, pp. 4237-4316
Closed Access | Times Cited: 209
Crow Search Algorithm: Theory, Recent Advances, and Applications
Abdelazim G. Hussien, Mohammed A. Amin, Mingjing Wang, et al.
IEEE Access (2020) Vol. 8, pp. 173548-173565
Open Access | Times Cited: 177
Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm
Mohammad Dehghani, Štěpán Hubálovský, Pavel Trojovský
IEEE Access (2022) Vol. 10, pp. 19599-19620
Open Access | Times Cited: 175
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
Gang Hu, Yixuan Zheng, Laith Abualigah, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102004-102004
Closed Access | Times Cited: 152
A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process
Mohammad Dehghani, Eva Trojovská, Pavel Trojovský
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 150
Liver Cancer Algorithm: A novel bio-inspired optimizer
Essam H. Houssein, Diego Oliva, Nagwan Abdel Samee, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107389-107389
Closed Access | Times Cited: 141
Advanced metaheuristic optimization techniques in applications of deep neural networks: a review
Mohamed Abd Elaziz, Abdelghani Dahou, Laith Abualigah, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14079-14099
Closed Access | Times Cited: 121
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results
Laith Abualigah, Mohamed Abd Elaziz, Ahmad M. Khasawneh, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 6, pp. 4081-4110
Closed Access | Times Cited: 121
Subtraction-Average-Based Optimizer: A New Swarm-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Pavel Trojovský, Mohammad Dehghani
Biomimetics (2023) Vol. 8, Iss. 2, pp. 149-149
Open Access | Times Cited: 121
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: 114
A new bio-inspired metaheuristic algorithm for solving optimization problems based on walruses behavior
Pavel Trojovský, Mohammad Dehghani
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 105
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