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:

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

Showing 1-25 of 259 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

Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
Essam H. Houssein, Ahmed G. Gad, Kashif Hussain, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100868-100868
Closed Access | Times Cited: 321

Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan, et al.
Journal of Network and Computer Applications (2022) Vol. 200, pp. 103309-103309
Open Access | Times Cited: 85

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

A Survey on Particle Swarm Optimization Algorithm
Mukesh Kumar Khandelwal, Neetu Sharma
Algorithms for intelligent systems (2023), pp. 591-602
Closed Access | Times Cited: 64

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: 55

Velocity pausing particle swarm optimization: a novel variant for global optimization
Tareq M. Shami, Seyedali Mirjalili, Yasser Al-Eryani, et al.
Neural Computing and Applications (2023)
Open Access | Times Cited: 39

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig, et al.
Reviews of Geophysics (2024) Vol. 62, Iss. 1
Open Access | Times Cited: 36

Particle swarm optimization performance improvement using deep learning techniques
Y. V. R. Naga Pawan, Kolla Bhanu Prakash, S. Chowdhury, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 19, pp. 27949-27968
Closed Access | Times Cited: 66

A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid
Cristian Chiñas‐Palacios, Carlos Vargas‐Salgado, Jesús Águila-León, et al.
Energy Conversion and Management (2021) Vol. 232, pp. 113896-113896
Open Access | Times Cited: 55

BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Usman Zahid, Imran Ashraf, Muhammad Attique Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 53

Energy-Efficient Robot Configuration and Motion Planning Using Genetic Algorithm and Particle Swarm Optimization
Kazuki Nonoyama, Ziang Liu, Tomofumi Fujiwara, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2074-2074
Open Access | Times Cited: 46

Automized parametrization of PEM and alkaline water electrolyzer polarisation curves
Lauri Järvinen, Pietari Puranen, Antti Kosonen, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 75, pp. 31985-32003
Open Access | Times Cited: 37

Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model
Song Ding, Jiaqi Hu, Qianqian Lin
Energy Economics (2023) Vol. 126, pp. 107013-107013
Closed Access | Times Cited: 31

Lens imaging opposition-based learning for differential evolution with cauchy perturbation
Fei Yu, Jian Guan, Hongrun Wu, et al.
Applied Soft Computing (2023) Vol. 152, pp. 111211-111211
Closed Access | Times Cited: 23

Application of an Optimized PSO-BP Neural Network to the Assessment and Prediction of Underground Coal Mine Safety Risk Factors
Dorcas Muadi Mulumba, Jiankang Liu, Jian Jun Hao, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5317-5317
Open Access | Times Cited: 21

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach
Shoffan Saifullah, Rafał Dreżewski
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 923-923
Open Access | Times Cited: 10

Optimization of Day-Ahead Energy Storage System Scheduling in Microgrid Using Genetic Algorithm and Particle Swarm Optimization
Ajay Raghavan, Paarth Maan, K. B. Ajitha Shenoy
IEEE Access (2020) Vol. 8, pp. 173068-173078
Open Access | Times Cited: 58

Control of an underactuated double-pendulum overhead crane using improved model reference command shaping: Design, simulation and experiment
Hazriq Izzuan Jaafar, Z. Mohamed, Mohd Ashraf Ahmad, et al.
Mechanical Systems and Signal Processing (2020) Vol. 151, pp. 107358-107358
Open Access | Times Cited: 52

Simulation methodology for an off-grid solar–battery–water electrolyzer plant: Simultaneous optimization of component capacities and system control
Alejandro Ibáñez-Rioja, Pietari Puranen, Lauri Järvinen, et al.
Applied Energy (2021) Vol. 307, pp. 118157-118157
Open Access | Times Cited: 46

Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia
Mehdi Neshat, Seyedali Mirjalili, Nataliia Y. Sergiienko, et al.
Energy (2021) Vol. 239, pp. 122463-122463
Closed Access | Times Cited: 44

A review: use of evolutionary algorithm for optimisation of machining parameters
Nor Atiqah Zolpakar, Mohd Fuad Yasak, Sunil Pathak
The International Journal of Advanced Manufacturing Technology (2021) Vol. 115, Iss. 1-2, pp. 31-47
Closed Access | Times Cited: 43

A hybrid particle swarm optimization with crisscross learning strategy
Baoxian Liang, Yunlong Zhao, Yang Li
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104418-104418
Closed Access | Times Cited: 41

Optimisation of mooring line parameters for offshore floating structures: A review paper
Idris Ahmed Ja’e, Montasir Osman Ahmed Ali, Anurag Yenduri, et al.
Ocean Engineering (2022) Vol. 247, pp. 110644-110644
Closed Access | Times Cited: 36

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