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:

Social Network Search for Solving Engineering Optimization Problems
Hadi Bayzidi, Siamak Talatahari, Meysam Saraee, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

Dwarf Mongoose Optimization Algorithm
Jeffrey O. Agushaka, Absalom E. Ezugwu, Laith Abualigah
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 391, pp. 114570-114570
Closed Access | Times Cited: 693

Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems
Amir Seyyedabbasi, Farzad Kiani
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2627-2651
Closed Access | Times Cited: 452

Gannet optimization algorithm : A new metaheuristic algorithm for solving engineering optimization problems
Jeng‐Shyang Pan, Li-Gang Zhang, Ruo-Bin Wang, et al.
Mathematics and Computers in Simulation (2022) Vol. 202, pp. 343-373
Closed Access | Times Cited: 192

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: 155

Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
Mohamed Abdel‐Basset, Doaa El-Shahat, Mohammed Jameel, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9329-9400
Closed Access | Times Cited: 120

Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems
Mohamed Abdel‐Basset, Doaa El-Shahat, Mohammed Jameel, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 403, pp. 115652-115652
Closed Access | Times Cited: 117

Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems
Fang Zhu, Guoshuai Li, Hao Tang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121219-121219
Closed Access | Times Cited: 104

Optimization based on performance of lungs in body: Lungs performance-based optimization (LPO)
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 419, pp. 116582-116582
Closed Access | Times Cited: 73

PSCSO: Enhanced sand cat swarm optimization inspired by the political system to solve complex problems
Farzad Kiani, Fateme Aysin Anka, Fahri ERENEL
Advances in Engineering Software (2023) Vol. 178, pp. 103423-103423
Closed Access | Times Cited: 56

Metaheuristic optimization algorithms: a comprehensive overview and classification of benchmark test functions
Pankaj Sharma, R. Saravanakumar
Soft Computing (2023) Vol. 28, Iss. 4, pp. 3123-3186
Closed Access | Times Cited: 56

Red-tailed hawk algorithm for numerical optimization and real-world problems
Seydali Ferahtia, Azeddine Houari, Hegazy Rezk, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 53

Snow Geese Algorithm: A novel migration-inspired meta-heuristic algorithm for constrained engineering optimization problems
Ai-Qing Tian, Feifei Liu, Hongxia Lv
Applied Mathematical Modelling (2023) Vol. 126, pp. 327-347
Closed Access | Times Cited: 48

Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Mojtaba Ghasemi, Keyvan Golalipour, Mohsen Zare, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 15, pp. 22913-23017
Closed Access | Times Cited: 35

The Differentiated Creative Search (DCS): Leveraging differentiated knowledge-acquisition and creative realism to address complex optimization problems
Poomin Duankhan, Khamron Sunat, Sirapat Chiewchanwattana, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 123734-123734
Closed Access | Times Cited: 25

Love Evolution Algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization
Yuansheng Gao, Jiahui Zhang, Yulin Wang, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12346-12407
Closed Access | Times Cited: 22

Prism refraction search: a novel physics-based metaheuristic algorithm
Rohit Kundu, Soumitri Chattopadhyay, Sayan Nag, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 8, pp. 10746-10795
Closed Access | Times Cited: 18

Artificial lemming algorithm: a novel bionic meta-heuristic technique for solving real-world engineering optimization problems
Yaning Xiao, Hao Cui, Ruba Abu Khurma, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 6

Sand Cat Swarm Optimization Based on Stochastic Variation With Elite Collaboration
Yiming Li, Gencheng Wang
IEEE Access (2022) Vol. 10, pp. 89989-90003
Open Access | Times Cited: 46

Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Jeffrey O. Agushaka, Absalom E. Ezugwu, Oyelade N. Olaide, et al.
Journal of Bionic Engineering (2022) Vol. 20, Iss. 3, pp. 1263-1295
Open Access | Times Cited: 45

An analysis on the performance of metaheuristic algorithms for the estimation of parameters in solar cell models
Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, et al.
Energy Conversion and Management (2022) Vol. 276, pp. 116523-116523
Closed Access | Times Cited: 42

Chaotic Sand Cat Swarm Optimization
Farzad Kiani, Sajjad Nematzadeh, Fateme Aysin Anka, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2340-2340
Open Access | Times Cited: 41

DTCSMO: An efficient hybrid starling murmuration optimizer for engineering applications
Gang Hu, Jingyu Zhong, Guo Wei, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 405, pp. 115878-115878
Closed Access | Times Cited: 40

BEESO: Multi-strategy Boosted Snake-Inspired Optimizer for Engineering Applications
Gang Hu, Rui Yang, Muhammad Abbas, et al.
Journal of Bionic Engineering (2023) Vol. 20, Iss. 4, pp. 1791-1827
Closed Access | Times Cited: 34

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