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:
Diversity enhanced particle swarm optimization with neighborhood search
Hui Wang, Hui Sun, Changhe Li, et al.
Information Sciences (2012) Vol. 223, pp. 119-135
Closed Access | Times Cited: 385
Hui Wang, Hui Sun, Changhe Li, et al.
Information Sciences (2012) Vol. 223, pp. 119-135
Closed Access | Times Cited: 385
Showing 1-25 of 385 citing articles:
Particle swarm optimization algorithm: an overview
Dongshu Wang, Dapei Tan, Lei Liu
Soft Computing (2017) Vol. 22, Iss. 2, pp. 387-408
Closed Access | Times Cited: 2118
Dongshu Wang, Dapei Tan, Lei Liu
Soft Computing (2017) Vol. 22, Iss. 2, pp. 387-408
Closed Access | Times Cited: 2118
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
Yudong Zhang, Shuihua Wang, Genlin Ji
Mathematical Problems in Engineering (2015) Vol. 2015, pp. 1-38
Open Access | Times Cited: 1029
Yudong Zhang, Shuihua Wang, Genlin Ji
Mathematical Problems in Engineering (2015) Vol. 2015, pp. 1-38
Open Access | Times Cited: 1029
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: 686
Mohammad Reza Bonyadi, Zbigniew Michalewicz
Evolutionary Computation (2016) Vol. 25, Iss. 1, pp. 1-54
Closed Access | Times Cited: 686
A social learning particle swarm optimization algorithm for scalable optimization
Ran Cheng, Yaochu Jin
Information Sciences (2014) Vol. 291, pp. 43-60
Closed Access | Times Cited: 670
Ran Cheng, Yaochu Jin
Information Sciences (2014) Vol. 291, pp. 43-60
Closed Access | Times Cited: 670
A swarm optimization algorithm inspired in the behavior of the social-spider
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldívar, et al.
Expert Systems with Applications (2013) Vol. 40, Iss. 16, pp. 6374-6384
Open Access | Times Cited: 535
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldívar, et al.
Expert Systems with Applications (2013) Vol. 40, Iss. 16, pp. 6374-6384
Open Access | Times Cited: 535
Metaheuristics in large-scale global continues optimization: A survey
Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan
Information Sciences (2014) Vol. 295, pp. 407-428
Closed Access | Times Cited: 421
Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan
Information Sciences (2014) Vol. 295, pp. 407-428
Closed Access | Times Cited: 421
Opposition based learning: A literature review
Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb
Swarm and Evolutionary Computation (2017) Vol. 39, pp. 1-23
Closed Access | Times Cited: 363
Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb
Swarm and Evolutionary Computation (2017) Vol. 39, pp. 1-23
Closed Access | Times Cited: 363
Feature selection for high-dimensional classification using a competitive swarm optimizer
Shenkai Gu, Ran Cheng, Yaochu Jin
Soft Computing (2016) Vol. 22, Iss. 3, pp. 811-822
Closed Access | Times Cited: 343
Shenkai Gu, Ran Cheng, Yaochu Jin
Soft Computing (2016) Vol. 22, Iss. 3, pp. 811-822
Closed Access | Times Cited: 343
Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm
Hosein Abedinpourshotorban, Siti Mariyam Shamsuddin, Zahra Beheshti, et al.
Swarm and Evolutionary Computation (2015) Vol. 26, pp. 8-22
Closed Access | Times Cited: 322
Hosein Abedinpourshotorban, Siti Mariyam Shamsuddin, Zahra Beheshti, et al.
Swarm and Evolutionary Computation (2015) Vol. 26, pp. 8-22
Closed Access | Times Cited: 322
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
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
MPSO: Modified particle swarm optimization and its applications
D. Tian, Zhongzhi Shi
Swarm and Evolutionary Computation (2018) Vol. 41, pp. 49-68
Closed Access | Times Cited: 308
D. Tian, Zhongzhi Shi
Swarm and Evolutionary Computation (2018) Vol. 41, pp. 49-68
Closed Access | Times Cited: 308
Self regulating particle swarm optimization algorithm
Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
Information Sciences (2014) Vol. 294, pp. 182-202
Closed Access | Times Cited: 303
Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
Information Sciences (2014) Vol. 294, pp. 182-202
Closed Access | Times Cited: 303
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
Yu Xue, Bing Xue, Jun Zhang
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 5, pp. 1-27
Open Access | Times Cited: 303
Yu Xue, Bing Xue, Jun Zhang
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 5, pp. 1-27
Open Access | Times Cited: 303
A novel stability-based adaptive inertia weight for particle swarm optimization
Mojtaba Taherkhani, Reza Safabakhsh
Applied Soft Computing (2015) Vol. 38, pp. 281-295
Closed Access | Times Cited: 296
Mojtaba Taherkhani, Reza Safabakhsh
Applied Soft Computing (2015) Vol. 38, pp. 281-295
Closed Access | Times Cited: 296
A hybrid particle swarm optimization algorithm using adaptive learning strategy
Feng Wang, Heng Zhang, Kangshun Li, et al.
Information Sciences (2018) Vol. 436-437, pp. 162-177
Closed Access | Times Cited: 255
Feng Wang, Heng Zhang, Kangshun Li, et al.
Information Sciences (2018) Vol. 436-437, pp. 162-177
Closed Access | Times Cited: 255
Multi-strategy ensemble artificial bee colony algorithm
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, et al.
Information Sciences (2014) Vol. 279, pp. 587-603
Closed Access | Times Cited: 247
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, et al.
Information Sciences (2014) Vol. 279, pp. 587-603
Closed Access | Times Cited: 247
Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems
Ahmad Rezaee Jordehi
Applied Soft Computing (2014) Vol. 26, pp. 401-417
Closed Access | Times Cited: 234
Ahmad Rezaee Jordehi
Applied Soft Computing (2014) Vol. 26, pp. 401-417
Closed Access | Times Cited: 234
Phasor particle swarm optimization: a simple and efficient variant of PSO
Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, et al.
Soft Computing (2018) Vol. 23, Iss. 19, pp. 9701-9718
Closed Access | Times Cited: 212
Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, et al.
Soft Computing (2018) Vol. 23, Iss. 19, pp. 9701-9718
Closed Access | Times Cited: 212
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: 188
Diogo Freitas, Luiz Guerreiro Lopes, Fernando Morgado‐Dias
Entropy (2020) Vol. 22, Iss. 3, pp. 362-362
Open Access | Times Cited: 188
Improving artificial Bee colony algorithm using a new neighborhood selection mechanism
Hui Wang, Wenjun Wang, Songyi Xiao, et al.
Information Sciences (2020) Vol. 527, pp. 227-240
Closed Access | Times Cited: 145
Hui Wang, Wenjun Wang, Songyi Xiao, et al.
Information Sciences (2020) Vol. 527, pp. 227-240
Closed Access | Times Cited: 145
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: 69
Eduardo Fávero Pacheco da Luz, José Carlos Becceneri, Stephan Stephany, et al.
Springer eBooks (2023), pp. 95-106
Closed Access | Times Cited: 69
Diversity-guided particle swarm optimization with multi-level learning strategy
Dongping Tian, Qiu Xu, Xinhui Yao, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101533-101533
Closed Access | Times Cited: 19
Dongping Tian, Qiu Xu, Xinhui Yao, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101533-101533
Closed Access | Times Cited: 19
A Swarm Optimization Algorithm Inspired in the Behavior of the Social-Spider
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldívar, et al.
Intelligent systems reference library (2025), pp. 43-68
Closed Access | Times Cited: 1
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldívar, et al.
Intelligent systems reference library (2025), pp. 43-68
Closed Access | Times Cited: 1
Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems
Yuhua Li, Zhi‐Hui Zhan, Shujin Lin, et al.
Information Sciences (2014) Vol. 293, pp. 370-382
Closed Access | Times Cited: 171
Yuhua Li, Zhi‐Hui Zhan, Shujin Lin, et al.
Information Sciences (2014) Vol. 293, pp. 370-382
Closed Access | Times Cited: 171
A global optimization algorithm inspired in the behavior of selfish herds
Fernando Fausto, Erik Cuevas, Arturo Valdivia, et al.
Biosystems (2017) Vol. 160, pp. 39-55
Closed Access | Times Cited: 152
Fernando Fausto, Erik Cuevas, Arturo Valdivia, et al.
Biosystems (2017) Vol. 160, pp. 39-55
Closed Access | Times Cited: 152
