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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:

Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review
Mohammad Reza Bonyadi, Zbigniew Michalewicz
Evolutionary Computation (2016) Vol. 25, Iss. 1, pp. 1-54
Closed Access | Times Cited: 684

Showing 1-25 of 684 citing articles:

Particle Swarm Optimization: A Comprehensive Survey
Tareq M. Shami, Ayman A. El‐Saleh, Mohammed Alswaitti, et al.
IEEE Access (2022) Vol. 10, pp. 10031-10061
Open Access | Times Cited: 640
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: 559
Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 291
Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets
Myron G. Best, Nik Sol, Sjors G. J. G. In ‘t Veld, et al.
Cancer Cell (2017) Vol. 32, Iss. 2, pp. 238-252.e9
Open Access | Times Cited: 274
Population size in Particle Swarm Optimization
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Swarm and Evolutionary Computation (2020) Vol. 58, pp. 100718-100718
Open Access | Times Cited: 259
Particle Swarm Optimisation: A Historical Review Up to the Current Developments
Diogo Freitas, Luiz Guerreiro Lopes, Fernando Morgado‐Dias
Entropy (2020) Vol. 22, Iss. 3, pp. 362-362
Open Access | Times Cited: 185
Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review
Yuqing Yang, Stephen Bremner, Chris Menictas, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112671-112671
Closed Access | Times Cited: 173
Cloudlets Activation Scheme for Scalable Mobile Edge Computing with Transmission Power Control and Virtual Machine Migration
Tiago Koketsu Rodrigues, Katsuya Suto, Hiroki Nishiyama, et al.
IEEE Transactions on Computers (2018) Vol. 67, Iss. 9, pp. 1287-1300
Closed Access | Times Cited: 172
A review on computational intelligence for identification of nonlinear dynamical systems
Giuseppe Quaranta, Walter Lacarbonara, Sami F. Masri
Nonlinear Dynamics (2020) Vol. 99, Iss. 2, pp. 1709-1761
Closed Access | Times Cited: 167
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
Nickolaos Koroniotis, Nour Moustafa, Elena Sitnikova
Future Generation Computer Systems (2020) Vol. 110, pp. 91-106
Closed Access | Times Cited: 167
A survey of swarm and evolutionary computing approaches for deep learning
Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1767-1812
Closed Access | Times Cited: 152
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: 120
A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems
Serhat Duman, Hamdi Tolga Kahraman, Yusuf Sönmez, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 111, pp. 104763-104763
Closed Access | Times Cited: 76
Particle Swarm Optimization
Eduardo Fávero Pacheco da Luz, José Carlos Becceneri, Stephan Stephany, et al.
Springer eBooks (2023), pp. 95-106
Closed Access | Times Cited: 75
Review and Comparison of Genetic Algorithm and Particle Swarm Optimization in the Optimal Power Flow Problem
Georgios K. Papazoglou, Pandelis N. Biskas
Energies (2023) Vol. 16, Iss. 3, pp. 1152-1152
Open Access | Times Cited: 69
Particle Swarm Optimization or Differential Evolution—A comparison
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106008-106008
Closed Access | Times Cited: 58
Efficient fog node placement using nature-inspired metaheuristic for IoT applications
Abdenacer Naouri, Nabil Abdelkader Nouri, Amar Khelloufi, et al.
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 8225-8241
Open Access | Times Cited: 14
Hybrid LSTM-PSO optimization techniques for enhancing wind power bidding efficiency in electricity markets
Anh Viet Truong, Ngoc Sang Dinh, Thanh Long Duong, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103285-103285
Open Access | Times Cited: 1
Chaotic dynamic weight particle swarm optimization for numerical function optimization
Ke Chen, Fengyu Zhou, Aling Liu
Knowledge-Based Systems (2017) Vol. 139, pp. 23-40
Closed Access | Times Cited: 155
A distributed PSO-based exploration algorithm for a UAV network assisting a disaster scenario
J. Sánchez-García, Daniel Gutiérrez Reina, S. L. Toral
Future Generation Computer Systems (2018) Vol. 90, pp. 129-148
Closed Access | Times Cited: 148
A survey on particle swarm optimization with emphasis on engineering and network applications
Mohammed Elbes, Shadi AlZu’bi, Tarek Kanan, et al.
Evolutionary Intelligence (2019) Vol. 12, Iss. 2, pp. 113-129
Closed Access | Times Cited: 130
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization
Man-Fai Leung, Jun Wang
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 7, pp. 2825-2836
Closed Access | Times Cited: 117
Twin-Timescale Artificial Intelligence Aided Mobility-Aware Edge Caching and Computing in Vehicular Networks
Le Thanh Tan, Rose Qingyang Hu, Lajos Hanzo
IEEE Transactions on Vehicular Technology (2019) Vol. 68, Iss. 4, pp. 3086-3099
Open Access | Times Cited: 111
Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)
Tatjana Šibalija
Applied Soft Computing (2019) Vol. 84, pp. 105743-105743
Closed Access | Times Cited: 110
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals
Zhen Wang, Jihui Zhang, Shengxiang Yang
Swarm and Evolutionary Computation (2019) Vol. 51, pp. 100594-100594
Open Access | Times Cited: 110
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