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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 Evolutionary Computation Approaches to Feature Selection
Bing Xue, Mengjie Zhang, Will N. Browne, et al.
IEEE Transactions on Evolutionary Computation (2015) Vol. 20, Iss. 4, pp. 606-626
Open Access | Times Cited: 1584

Showing 26-50 of 1584 citing articles:

Feature selection using bare-bones particle swarm optimization with mutual information
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
Pattern Recognition (2020) Vol. 112, pp. 107804-107804
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
Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
Mohammad H. Nadimi-Shahraki, Hoda Zamani, Seyedali Mirjalili
Computers in Biology and Medicine (2022) Vol. 148, pp. 105858-105858
Closed Access | Times Cited: 202
Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats
Maarten R. Dobbelaere, Pieter Plehiers, Ruben Van de Vijver, et al.
Engineering (2021) Vol. 7, Iss. 9, pp. 1201-1211
Open Access | Times Cited: 197
Improved salp swarm algorithm for feature selection
Ah. E. Hegazy, M. A. Makhlouf, Gh. S. El-Tawel
Journal of King Saud University - Computer and Information Sciences (2018) Vol. 32, Iss. 3, pp. 335-344
Open Access | Times Cited: 196
Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm
Zhang Yon, Shi Cheng, Yuhui Shi, et al.
Expert Systems with Applications (2019) Vol. 137, pp. 46-58
Closed Access | Times Cited: 190
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research
Kay Chen Tan, Liang Feng, Min Jiang
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 1, pp. 22-33
Closed Access | Times Cited: 189
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data
Isaac Triguero, Diego García‐Gil, Jesús Maillo, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 9, Iss. 2
Open Access | Times Cited: 188
Asynchronous accelerating multi-leader salp chains for feature selection
Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari, et al.
Applied Soft Computing (2018) Vol. 71, pp. 964-979
Open Access | Times Cited: 185
Early prediction of battery lifetime via a machine learning based framework
Zicheng Fei, Fangfang Yang, Kwok‐Leung Tsui, et al.
Energy (2021) Vol. 225, pp. 120205-120205
Closed Access | Times Cited: 184
MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting
M. Premkumar, Pradeep Jangir, R. Sowmya, et al.
IEEE Access (2020) Vol. 9, pp. 3229-3248
Open Access | Times Cited: 181
An efficient henry gas solubility optimization for feature selection
Nabil Neggaz, Essam H. Houssein, Kashif Hussain
Expert Systems with Applications (2020) Vol. 152, pp. 113364-113364
Closed Access | Times Cited: 180
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling
Fangfang Zhang, Yi Mei, Su Nguyen, et al.
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 4, pp. 1797-1811
Open Access | Times Cited: 180
A New Representation in PSO for Discretization-Based Feature Selection
Binh Tran, Bing Xue, Mengjie Zhang
IEEE Transactions on Cybernetics (2017) Vol. 48, Iss. 6, pp. 1733-1746
Open Access | Times Cited: 172
A novel hybrid genetic algorithm with granular information for feature selection and optimization
Hongbin Dong, Tao Li, Rui Ding, et al.
Applied Soft Computing (2018) Vol. 65, pp. 33-46
Closed Access | Times Cited: 169
Intelligent Diagnostic Prediction and Classification System for Chronic Kidney Disease
Mohamed Elhoseny, K. Shankar, J. Uthayakumar
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 162
Machine learning methods applied to drilling rate of penetration prediction and optimization - A review
Luís Felipe Ferreira Motta Barbosa, Andreas Nascimento, Mauro Hugo Mathias, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 183, pp. 106332-106332
Closed Access | Times Cited: 161
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
Kashif Hussain, Nabil Neggaz, William Zhu, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114778-114778
Closed Access | Times Cited: 157
An enhanced black widow optimization algorithm for feature selection
Gang Hu, Bo Du, Xiaofeng Wang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107638-107638
Closed Access | Times Cited: 156
A Review of Grey Wolf Optimizer-Based Feature Selection Methods for Classification
Qasem Al-Tashi, Helmi Md Rais, Said Jadid Abdulkadir, et al.
Algorithms for intelligent systems (2019), pp. 273-286
Closed Access | Times Cited: 154
Chemical Gas Sensors: Recent Developments, Challenges, and the Potential of Machine Learning—A Review
Usman Yaqoob, Mohammad I. Younis
Sensors (2021) Vol. 21, Iss. 8, pp. 2877-2877
Open Access | Times Cited: 154
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: 151
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
A two-layer feature selection method using Genetic Algorithm and Elastic Net
Fatemeh Amini, Guiping Hu
Expert Systems with Applications (2020) Vol. 166, pp. 114072-114072
Open Access | Times Cited: 138
Multi-objective particle swarm optimization with adaptive strategies for feature selection
Fei Han, Wen-Tao Chen, Qing-Hua Ling, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100847-100847
Closed Access | Times Cited: 133

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