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:

Symbiotic Organisms Search: A new metaheuristic optimization algorithm
Min‐Yuan Cheng, Doddy Prayogo
Computers & Structures (2014) Vol. 139, pp. 98-112
Closed Access | Times Cited: 1428

Showing 1-25 of 1428 citing articles:

The Whale Optimization Algorithm
Seyedali Mirjalili, Andrew Lewis
Advances in Engineering Software (2016) Vol. 95, pp. 51-67
Closed Access | Times Cited: 11182

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Seyedali Mirjalili, Amir H. Gandomi, Seyedeh Zahra Mirjalili, et al.
Advances in Engineering Software (2017) Vol. 114, pp. 163-191
Closed Access | Times Cited: 4302

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Seyedali Mirjalili
Knowledge-Based Systems (2015) Vol. 89, pp. 228-249
Closed Access | Times Cited: 4021

The Ant Lion Optimizer
Seyedali Mirjalili
Advances in Engineering Software (2015) Vol. 83, pp. 80-98
Closed Access | Times Cited: 2841

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Abdolreza Hatamlou
Neural Computing and Applications (2015) Vol. 27, Iss. 2, pp. 495-513
Closed Access | Times Cited: 2520

Grasshopper Optimisation Algorithm: Theory and application
Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis
Advances in Engineering Software (2017) Vol. 105, pp. 30-47
Closed Access | Times Cited: 2414

Slime mould algorithm: A new method for stochastic optimization
Shimin Li, Huiling Chen, Mingjing Wang, et al.
Future Generation Computer Systems (2020) Vol. 111, pp. 300-323
Closed Access | Times Cited: 2364

The Arithmetic Optimization Algorithm
Laith Abualigah, Ali Diabat, Seyedali Mirjalili, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 376, pp. 113609-113609
Open Access | Times Cited: 2227

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: 1719

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Laith Abualigah, Mohamed Abd Elaziz, Putra Sumari, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116158-116158
Closed Access | Times Cited: 1070

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: 882

A novel nature-inspired algorithm for optimization: Squirrel search algorithm
Mohit Jain, Vijander Singh, Asha Rani
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 148-175
Closed Access | Times Cited: 833

RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
Iman Ahmadianfar, Ali Asghar Heidari, Amir H. Gandomi, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115079-115079
Open Access | Times Cited: 828

Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 10, pp. 5887-5958
Open Access | Times Cited: 784

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: 714

Gradient-based optimizer: A new metaheuristic optimization algorithm
Iman Ahmadianfar, Omid Bozorg‐Haddad, Xuefeng Chu
Information Sciences (2020) Vol. 540, pp. 131-159
Closed Access | Times Cited: 677

Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
Weiguo Zhao, Liying Wang, Seyedali Mirjalili
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 388, pp. 114194-114194
Closed Access | Times Cited: 659

INFO: An efficient optimization algorithm based on weighted mean of vectors
Iman Ahmadianfar, Ali Asghar Heidari, Saeed Noshadian, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116516-116516
Closed Access | Times Cited: 575

The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems
Soodeh Shadravan, Hamid Reza Naji, Vahid Khatibi Bardsiri
Engineering Applications of Artificial Intelligence (2019) Vol. 80, pp. 20-34
Closed Access | Times Cited: 534

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
Changting Zhong, Gang Li, Zeng Meng
Knowledge-Based Systems (2022) Vol. 251, pp. 109215-109215
Closed Access | Times Cited: 522

The Colony Predation Algorithm
Jiaze Tu, Huiling Chen, Mingjing Wang, et al.
Journal of Bionic Engineering (2021) Vol. 18, Iss. 3, pp. 674-710
Open Access | Times Cited: 511

RIME: A physics-based optimization
Hang Su, Dong Zhao, Ali Asghar Heidari, et al.
Neurocomputing (2023) Vol. 532, pp. 183-214
Closed Access | Times Cited: 495

A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
Jui‐Sheng Chou, Dinh‐Nhat Truong
Applied Mathematics and Computation (2020) Vol. 389, pp. 125535-125535
Closed Access | Times Cited: 489

Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems
Juliano Pierezan, Leandro dos Santos Coelho
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 468

Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
Liying Wang, Qingjiao Cao, Zhenxing Zhang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105082-105082
Closed Access | Times Cited: 463

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