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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:

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

Showing 1-25 of 535 citing articles:

A survey on new generation metaheuristic algorithms
Tansel Dökeroğlu, Ender Sevinç, Tayfun Küçükyılmaz, et al.
Computers & Industrial Engineering (2019) Vol. 137, pp. 106040-106040
Closed Access | Times Cited: 697
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
Holger R. Maier, Zoran Kapelan, Joseph Kasprzyk, et al.
Environmental Modelling & Software (2014) Vol. 62, pp. 271-299
Open Access | Times Cited: 601
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
Ye Ren, Le Zhang, Ponnuthurai Nagaratnam Suganthan
IEEE Computational Intelligence Magazine (2016) Vol. 11, Iss. 1, pp. 41-53
Closed Access | Times Cited: 593
Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm
Maziar Yazdani, Fariborz Jolai
Journal of Computational Design and Engineering (2015) Vol. 3, Iss. 1, pp. 24-36
Open Access | Times Cited: 588
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104743-104743
Closed Access | Times Cited: 538
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
Ali Wagdy Mohamed, Anas A. Hadi, Ali Khater Mohamed
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 7, pp. 1501-1529
Closed Access | Times Cited: 393
Hybrid clustering analysis using improved krill herd algorithm
Laith Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh
Applied Intelligence (2018) Vol. 48, Iss. 11, pp. 4047-4071
Closed Access | Times Cited: 329
Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings
Sankhadeep Chatterjee, Sarbartha Sarkar, Sirshendu Hore, et al.
Neural Computing and Applications (2016) Vol. 28, Iss. 8, pp. 2005-2016
Closed Access | Times Cited: 284
A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis
Laith Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh
Engineering Applications of Artificial Intelligence (2018) Vol. 73, pp. 111-125
Closed Access | Times Cited: 247
Automatic clustering using nature-inspired metaheuristics: A survey
Adán José-García, Wilfrido Gómez‐Flores
Applied Soft Computing (2015) Vol. 41, pp. 192-213
Open Access | Times Cited: 220
A novel hybridization strategy for krill herd algorithm applied to clustering techniques
Laith Abualigah, Ahamad Tajudin Khader, Essam Said Hanandeh, et al.
Applied Soft Computing (2017) Vol. 60, pp. 423-435
Closed Access | Times Cited: 217
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology
Meeta Kumar, Anand J. Kulkarni, Suresh Chandra Satapathy
Future Generation Computer Systems (2017) Vol. 81, pp. 252-272
Closed Access | Times Cited: 203
A survey on evolutionary machine learning
Harith Al-Sahaf, Ying Bi, Qi Chen, et al.
Journal of the Royal Society of New Zealand (2019) Vol. 49, Iss. 2, pp. 205-228
Open Access | Times Cited: 202
Improving K-means clustering with enhanced Firefly Algorithms
Hailun Xie, Zhang Li, Chee Peng Lim, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105763-105763
Open Access | Times Cited: 146
Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning
Benyamın Abdollahzadeh, Nima Khodadadi, Saeid Barshandeh, et al.
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5235-5283
Closed Access | Times Cited: 144
Evolutionary Machine Learning: A Survey
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-35
Open Access | Times Cited: 140
Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering
Timea Bezdan, Cătălin Stoean, Ahmed Al Naamany, et al.
Mathematics (2021) Vol. 9, Iss. 16, pp. 1929-1929
Open Access | Times Cited: 105
Load Balancing Algorithms in Fog Computing
Mostafa Haghi Kashani, Ebrahim Mahdipour
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 2, pp. 1505-1521
Closed Access | Times Cited: 77
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
Zuyan Chen, Adam Francis, Shuai Li, et al.
Biomimetics (2022) Vol. 7, Iss. 4, pp. 144-144
Open Access | Times Cited: 72
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Gustavo A. Mesías-Ruiz, María Pérez‐Ortiz, José Dorado, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 63
Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems
M. Premkumar, Garima Sinha, R. Manjula Devi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 24
A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems
Arnapurna Panda, Sabyasachi Pani
Applied Soft Computing (2016) Vol. 46, pp. 344-360
Closed Access | Times Cited: 153
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization
Telmo M. Silva Filho, Bruno Almeida Pimentel, Renata M.C.R. de Souza, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 17-18, pp. 6315-6328
Closed Access | Times Cited: 148
A power efficient cluster-based routing algorithm for wireless sensor networks: Honeybees swarm intelligence based approach
Ado Adamou Abba Ari, Blaise Omer Yenké, Nabila Labraoui, et al.
Journal of Network and Computer Applications (2016) Vol. 69, pp. 77-97
Closed Access | Times Cited: 143
Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network
Dieu Tien Bui, Viet‐Ha Nhu, Nhat‐Duc Hoang
Advanced Engineering Informatics (2018) Vol. 38, pp. 593-604
Closed Access | Times Cited: 139
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