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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:

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

Showing 1-25 of 155 citing articles:

Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
Lifeng Wu, Xiaohui Gao, Yanli Xiao, et al.
Energy (2018) Vol. 157, pp. 327-335
Closed Access | Times Cited: 204
Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection
Ke Chen, Fengyu Zhou, Xianfeng Yuan
Expert Systems with Applications (2019) Vol. 128, pp. 140-156
Closed Access | Times Cited: 171
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification
Ke Chen, Bing Xue, Mengjie Zhang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 7, pp. 7172-7186
Closed Access | Times Cited: 152
A modified particle swarm optimization using adaptive strategy
Hao Liu, XuWei Zhang, Liangping Tu
Expert Systems with Applications (2020) Vol. 152, pp. 113353-113353
Closed Access | Times Cited: 142
Chaotic vortex search algorithm: metaheuristic algorithm for feature selection
Farhad Soleimanian Gharehchopogh, Isa Maleki, Zahra Asheghi Dizaji
Evolutionary Intelligence (2021) Vol. 15, Iss. 3, pp. 1777-1808
Closed Access | Times Cited: 133
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Taiyong Li, Jiayi Shi, Wu Deng, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108731-108731
Closed Access | Times Cited: 82
A Chaotic-Based Interactive Autodidactic School Algorithm for Data Clustering Problems and Its Application on COVID-19 Disease Detection
Farhad Soleimanian Gharehchopogh, Aysan Alavi Khargoush
Symmetry (2023) Vol. 15, Iss. 4, pp. 894-894
Open Access | Times Cited: 59
Multipopulation cooperative particle swarm optimization with a mixed mutation strategy
Wei Li, Xiang Meng, Ying Huang, et al.
Information Sciences (2020) Vol. 529, pp. 179-196
Closed Access | Times Cited: 100
Chaotic coyote algorithm applied to truss optimization problems
Juliano Pierezan, Leandro dos Santos Coelho, Viviana Cocco Mariani, et al.
Computers & Structures (2020) Vol. 242, pp. 106353-106353
Closed Access | Times Cited: 88
A chaotic optimization method based on logistic-sine map for numerical function optimization
Fahrettin Burak Demir, Türker Tuncer, Adnan Fatih Kocamaz
Neural Computing and Applications (2020) Vol. 32, Iss. 17, pp. 14227-14239
Closed Access | Times Cited: 85
Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural network in engineering systems
Bin Bai, Junyi Zhang, Xuan Wu, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114952-114952
Closed Access | Times Cited: 72
Vibration control of semi-active suspension system using PID controller with advanced firefly algorithm and particle swarm optimization
Mat Hussin Ab Talib, Intan Zaurah Mat Darus, Pakharuddin Mohd Samin, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 1, pp. 1119-1137
Closed Access | Times Cited: 70
Particle swarm optimization with an enhanced learning strategy and crossover operator
Sajjad Molaei, Hadi Moazen, Samad Najjar-Ghabel, et al.
Knowledge-Based Systems (2021) Vol. 215, pp. 106768-106768
Closed Access | Times Cited: 57
A novel hybrid particle swarm optimization using adaptive strategy
Rui Wang, Kuangrong Hao, Lei Chen, et al.
Information Sciences (2021) Vol. 579, pp. 231-250
Closed Access | Times Cited: 56
Reinforcement-learning-based parameter adaptation method for particle swarm optimization
Shiyuan Yin, Jin Min, Huaxiang Lu, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5585-5609
Open Access | Times Cited: 22
A hybrid particle swarm optimization algorithm for solving engineering problem
Jinwei Qiao, Guangyuan Wang, Zhi Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs
Abouzar Rajabi Behesht Abad, Seyedmohammadvahid Mousavi, Nima Mohamadian, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 95, pp. 104210-104210
Closed Access | Times Cited: 47
Improved binary pigeon-inspired optimization and its application for feature selection
Jeng‐Shyang Pan, Ai-Qing Tian, Shu‐Chuan Chu, et al.
Applied Intelligence (2021) Vol. 51, Iss. 12, pp. 8661-8679
Closed Access | Times Cited: 46
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
A strategy learning framework for particle swarm optimization algorithm
Huaqiang Xu, Shuai Gu, Yu‐Cheng Fan, et al.
Information Sciences (2022) Vol. 619, pp. 126-152
Closed Access | Times Cited: 32
Constrained engineering design optimization problems
Chao Huang, Hailong Huang, Yiying Zhang
Elsevier eBooks (2025), pp. 23-80
Closed Access
An ameliorated particle swarm optimizer for solving numerical optimization problems
Ke Chen, Fengyu Zhou, Yugang Wang, et al.
Applied Soft Computing (2018) Vol. 73, pp. 482-496
Closed Access | Times Cited: 54
Parameter Identification of Fractional-Order Discrete Chaotic Systems
Yuexi Peng, Kehui Sun, Shaobo He, et al.
Entropy (2019) Vol. 21, Iss. 1, pp. 27-27
Open Access | Times Cited: 53
An improved differential harmony search algorithm for function optimization problems
Lin Wang, Huanling Hu, Rui Liu, et al.
Soft Computing (2018) Vol. 23, Iss. 13, pp. 4827-4852
Closed Access | Times Cited: 50
Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
Wen-jing Niu, Zhong-kai Feng, Bao-fei Feng, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102686-102686
Closed Access | Times Cited: 45
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