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:

Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer
Hamdi Tolga Kahraman, Mustafa Akbel, Serhat Duman
Applied Soft Computing (2021) Vol. 116, pp. 108334-108334
Closed Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Advances in Manta Ray Foraging Optimization: A Comprehensive Survey
Farhad Soleimanian Gharehchopogh, Shafi Ghafouri, Mohammad Hasan Namazi, et al.
Journal of Bionic Engineering (2024) Vol. 21, Iss. 2, pp. 953-990
Closed Access | Times Cited: 57

A Modified Artificial Hummingbird Algorithm for solving optimal power flow problem in power systems
Mohamed Ebeed, Mohamed A. Abdelmotaleb, Noor Habib Khan, et al.
Energy Reports (2024) Vol. 11, pp. 982-1005
Open Access | Times Cited: 23

Hybridizing of Whale and Moth-Flame Optimization Algorithms to Solve Diverse Scales of Optimal Power Flow Problem
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, et al.
Electronics (2022) Vol. 11, Iss. 5, pp. 831-831
Open Access | Times Cited: 65

Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Rebika Rai, Arunita Das, Krishna Gopal Dhal
Evolving Systems (2022) Vol. 13, Iss. 6, pp. 889-945
Open Access | Times Cited: 47

A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
M. Premkumar, C. Kumar, Thankkapan Dharma Raj, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 6, pp. 1333-1357
Open Access | Times Cited: 32

Multi-objective optimization of shading devices using ensemble machine learning and orthogonal design of experiments
Rashed Alsharif, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, et al.
Energy and Buildings (2023) Vol. 283, pp. 112840-112840
Closed Access | Times Cited: 28

A multi-objective thermal exchange optimization model for solving optimal power flow problems in hybrid power systems
Sunilkumar Agrawal, Sundaram B. Pandya, Pradeep Jangir, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100299-100299
Open Access | Times Cited: 27

A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
Shihong Yin, Zhengrong Xiang
Expert Systems with Applications (2024) Vol. 256, pp. 124929-124929
Closed Access | Times Cited: 10

MOBBO: A Multiobjective Brown Bear Optimization Algorithm for Solving Constrained Structural Optimization Problems
Pranav Mehta, Sumit Kumar, Ghanshyam G. Tejani, et al.
Journal of Optimization (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 10

An improved pelican optimization algorithm for solving stochastic optimal power flow problem of power systems considering uncertainty of renewable energy resources
Raheela Jamal, Noor Habib Khan, Mohamed Ebeed, et al.
Results in Engineering (2025), pp. 104553-104553
Open Access | Times Cited: 1

Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
Hamdi Tolga Kahraman, Mustafa Akbel, Serhat Duman, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101196-101196
Closed Access | Times Cited: 35

Solution of Probabilistic Optimal Power Flow Incorporating Renewable Energy Uncertainty Using a Novel Circle Search Algorithm
Mohamed A. M. Shaheen, Zia Ullah, Mohammed H. Qais, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8303-8303
Open Access | Times Cited: 34

Modern Techniques for the Optimal Power Flow Problem: State of the Art
Benedetto-Giuseppe Risi, Francesco Riganti Fulginei, Antonino Laudani
Energies (2022) Vol. 15, Iss. 17, pp. 6387-6387
Open Access | Times Cited: 33

An efficient multi-objective gorilla troops optimizer for minimizing energy consumption of large-scale wireless sensor networks
Essam H. Houssein, Mohammed R. Saad, Abdelmgeid A. Ali, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118827-118827
Closed Access | Times Cited: 33

Probabilistic Optimal Power Flow Solution Using a Novel Hybrid Metaheuristic and Machine Learning Algorithm
Mohamed A. M. Shaheen, Hany M. Hasanien, S. F. Mekhamer, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3036-3036
Open Access | Times Cited: 30

A systematic review of the emerging metaheuristic algorithms on solving complex optimization problems
Oğuz Emrah Turgut, Mert Sinan Turgut, Erhan Kırtepe
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14275-14378
Closed Access | Times Cited: 21

A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations
Fatima Daqaq, Mohamed H. Hassan, Salah Kamel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21

Optimal power flow using a hybridization algorithm of arithmetic optimization and aquila optimizer
Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121212-121212
Closed Access | Times Cited: 20

Multi-objective SHADE with manta ray foraging optimizer for structural design problems
Changting Zhong, Gang Li, Zeng Meng, et al.
Applied Soft Computing (2023) Vol. 134, pp. 110016-110016
Open Access | Times Cited: 19

A Two-Archive Harris Hawk Optimization for Solving Many-Objective Optimal Power Flow Problems
Sirote Khunkitti, Suttichai Premrudeepreechacharn, Apirat Siritaratiwat
IEEE Access (2023) Vol. 11, pp. 134557-134574
Open Access | Times Cited: 17

CAVOA: A chaotic optimization algorithm for optimal power flow with facts devices and stochastic wind power generation
Amal Mohamed, Salah Kamel, Mohamed H. Hassan, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 1, pp. 121-144
Open Access | Times Cited: 17

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