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:

Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
A. K. Qin, V. L. Huang, Ponnuthurai Nagaratnam Suganthan
IEEE Transactions on Evolutionary Computation (2008) Vol. 13, Iss. 2, pp. 398-417
Open Access | Times Cited: 3390

Showing 1-25 of 3390 citing articles:

Differential Evolution: A Survey of the State-of-the-Art
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
IEEE Transactions on Evolutionary Computation (2010) Vol. 15, Iss. 1, pp. 4-31
Closed Access | Times Cited: 4735

Recent advances in differential evolution – An updated survey
Swagatam Das, Sankha Subhra Mullick, Ponnuthurai Nagaratnam Suganthan
Swarm and Evolutionary Computation (2016) Vol. 27, pp. 1-30
Closed Access | Times Cited: 1442

Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
Yong Wang, Zixing Cai, Qingfu Zhang
IEEE Transactions on Evolutionary Computation (2011) Vol. 15, Iss. 1, pp. 55-66
Closed Access | Times Cited: 1344

Differential evolution algorithm with ensemble of parameters and mutation strategies
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, et al.
Applied Soft Computing (2010) Vol. 11, Iss. 2, pp. 1679-1696
Closed Access | Times Cited: 1283

Improving the search performance of SHADE using linear population size reduction
Ryoji Tanabe, Alex Fukunaga
2022 IEEE Congress on Evolutionary Computation (CEC) (2014), pp. 1658-1665
Open Access | Times Cited: 1226

Exploration and exploitation in evolutionary algorithms
Matej Črepinšek, Shih-Hsi Liu, Marjan Mernik
ACM Computing Surveys (2013) Vol. 45, Iss. 3, pp. 1-33
Closed Access | Times Cited: 1165

Differential Evolution Using a Neighborhood-Based Mutation Operator
Swagatam Das, Ajith Abraham, Uday K. Chakraborty, et al.
IEEE Transactions on Evolutionary Computation (2009) Vol. 13, Iss. 3, pp. 526-553
Open Access | Times Cited: 1134

Success-history based parameter adaptation for Differential Evolution
Ryoji Tanabe, Alex Fukunaga
(2013), pp. 71-78
Open Access | Times Cited: 1092

Backtracking Search Optimization Algorithm for numerical optimization problems
Pınar Çivicioğlu
Applied Mathematics and Computation (2013) Vol. 219, Iss. 15, pp. 8121-8144
Closed Access | Times Cited: 958

Recent advances in differential evolution: a survey and experimental analysis
Ferrante Neri, Ville Tirronen
Artificial Intelligence Review (2009) Vol. 33, Iss. 1-2, pp. 61-106
Closed Access | Times Cited: 895

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Yutao Yang, Huiling Chen, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114864-114864
Open Access | Times Cited: 868

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Chong Zhang, Pin Lim, A. K. Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2016) Vol. 28, Iss. 10, pp. 2306-2318
Closed Access | Times Cited: 725

Nature-Inspired Optimization Algorithms
Xin‐She Yang
Elsevier eBooks (2021)
Open Access | Times Cited: 717

Differential Evolution: A review of more than two decades of research
Bilal, Millie Pant, Hira Zaheer, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103479-103479
Closed Access | Times Cited: 690

Dwarf Mongoose Optimization Algorithm
Jeffrey O. Agushaka, Absalom E. Ezugwu, Laith Abualigah
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 391, pp. 114570-114570
Closed Access | Times Cited: 676

An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
S. M. Islam, Swagatam Das, Susmita Ghosh, et al.
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (2011) Vol. 42, Iss. 2, pp. 482-500
Closed Access | Times Cited: 602

Memetic algorithms and memetic computing optimization: A literature review
Ferrante Neri, Carlos Cotta
Swarm and Evolutionary Computation (2011) Vol. 2, pp. 1-14
Closed Access | Times Cited: 589

Parameter tuning for configuring and analyzing evolutionary algorithms
A. E. Eiben, S. K. Smit
Swarm and Evolutionary Computation (2011) Vol. 1, Iss. 1, pp. 19-31
Closed Access | Times Cited: 563

Review: Multi-objective optimization methods and application in energy saving
Yunfei Cui, Zhiqiang Geng, Qunxiong Zhu, et al.
Energy (2017) Vol. 125, pp. 681-704
Closed Access | Times Cited: 538

A survey on nature inspired metaheuristic algorithms for partitional clustering
Satyasai Jagannath Nanda, Ganapati Panda
Swarm and Evolutionary Computation (2014) Vol. 16, pp. 1-18
Closed Access | Times Cited: 535

Differential Evolution as Applied to Electromagnetics
Paolo Rocca, Giacomo Oliveri, Andrea Massa
IEEE Antennas and Propagation Magazine (2011) Vol. 53, Iss. 1, pp. 38-49
Closed Access | Times Cited: 527

Differential evolution with multi-population based ensemble of mutation strategies
Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, et al.
Information Sciences (2015) Vol. 329, pp. 329-345
Closed Access | Times Cited: 516

A Comprehensive Review of Swarm Optimization Algorithms
Mohd Nadhir Ab Wahab, Samia Nefti‐Meziani, Adham Atyabi
PLoS ONE (2015) Vol. 10, Iss. 5, pp. e0122827-e0122827
Open Access | Times Cited: 499

Genetic Learning Particle Swarm Optimization
Yue‐Jiao Gong, Jingjing Li, Yicong Zhou, et al.
IEEE Transactions on Cybernetics (2015) Vol. 46, Iss. 10, pp. 2277-2290
Open Access | Times Cited: 498

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
Natasha Padfield, Jaime Zabalza, Huimin Zhao, et al.
Sensors (2019) Vol. 19, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 463

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