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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:

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

Showing 1-25 of 4735 citing articles:

One Pixel Attack for Fooling Deep Neural Networks
Jiawei Su, Danilo Vargas, Kouichi Sakurai
IEEE Transactions on Evolutionary Computation (2019) Vol. 23, Iss. 5, pp. 828-841
Open Access | Times Cited: 2221
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar, Ajmal Mian
IEEE Access (2018) Vol. 6, pp. 14410-14430
Open Access | Times Cited: 1858
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: 1441
A survey on optimization metaheuristics
Ilhem Boussaïd, Julien Lepagnot, Patrick Siarry
Information Sciences (2013) Vol. 237, pp. 82-117
Closed Access | Times Cited: 1415
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: 1223
Success-history based parameter adaptation for Differential Evolution
Ryoji Tanabe, Alex Fukunaga
(2013), pp. 71-78
Open Access | Times Cited: 1088
A novel nature-inspired algorithm for optimization: Squirrel search algorithm
Mohit Jain, Vijander Singh, Asha Rani
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 148-175
Closed Access | Times Cited: 827
A comprehensive review of firefly algorithms
Iztok Fister, Iztok Fister, Xin‐She Yang, et al.
Swarm and Evolutionary Computation (2013) Vol. 13, pp. 34-46
Open Access | Times Cited: 822
Nature-Inspired Optimization Algorithms
Xin‐She Yang
Elsevier eBooks (2021)
Open Access | Times Cited: 717
Introduction to Algorithms
Xin‐She Yang
Elsevier eBooks (2021), pp. 1-22
Closed Access | Times Cited: 694
Optimizing connection weights in neural networks using the whale optimization algorithm
Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili
Soft Computing (2016) Vol. 22, Iss. 1, pp. 1-15
Closed Access | Times Cited: 685
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: 679
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
Pınar Çivicioğlu, Erkan Beşdok
Artificial Intelligence Review (2011) Vol. 39, Iss. 4, pp. 315-346
Closed Access | Times Cited: 654
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
ABCluster: the artificial bee colony algorithm for cluster global optimization
Jun Zhang, Michael Dolg
Physical Chemistry Chemical Physics (2015) Vol. 17, Iss. 37, pp. 24173-24181
Closed Access | Times Cited: 571
A New Bio-inspired Algorithm: Chicken Swarm Optimization
Xian-Bing Meng, Yu Liu, Xiao‐Zhi Gao, et al.
Lecture notes in computer science (2014), pp. 86-94
Closed Access | Times Cited: 533
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
Metaheuristic design of feedforward neural networks: A review of two decades of research
Varun Ojha, Ajith Abraham, Václav Snåšel
Engineering Applications of Artificial Intelligence (2017) Vol. 60, pp. 97-116
Open Access | Times Cited: 511
Evolutionary Algorithms and Neural Networks
Seyedali Mirjalili
Studies in computational intelligence (2018)
Closed Access | Times Cited: 503
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
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
Xian-Bing Meng, X.Z. Gao, Lihua Lü, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2015) Vol. 28, Iss. 4, pp. 673-687
Closed Access | Times Cited: 425
Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems
Essam H. Houssein, Mohammed R. Saad, Fatma A. Hashim, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103731-103731
Closed Access | Times Cited: 394
A social spider algorithm for global optimization
James J. Q. Yu, Victor O. K. Li
Applied Soft Computing (2015) Vol. 30, pp. 614-627
Open Access | Times Cited: 388
Differential Evolution With Neighborhood Mutation for Multimodal Optimization
Boyang Qu, Ponnuthurai Nagaratnam Suganthan, Jing Liang
IEEE Transactions on Evolutionary Computation (2012) Vol. 16, Iss. 5, pp. 601-614
Closed Access | Times Cited: 384
Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation
Xu Chen, Bin Xu, Congli Mei, et al.
Applied Energy (2018) Vol. 212, pp. 1578-1588
Closed Access | Times Cited: 384
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