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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:

Binary differential evolution with self-learning for multi-objective feature selection
Zhang Yon, Dunwei Gong, Xiao‐Zhi Gao, et al.
Information Sciences (2019) Vol. 507, pp. 67-85
Closed Access | Times Cited: 366

Showing 1-25 of 366 citing articles:

Review of swarm intelligence-based feature selection methods
Mehrdad Rostami, Kamal Berahmand, Elahe Nasiri, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104210-104210
Open Access | Times Cited: 356
Differential evolution: A recent review based on state-of-the-art works
M. F. Ahmad, Nor Ashidi Mat Isa, Wei Hong Lim, et al.
Alexandria Engineering Journal (2021) Vol. 61, Iss. 5, pp. 3831-3872
Open Access | Times Cited: 288
Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data
Xianfang Song, Zhang Yon, Yinan Guo, et al.
IEEE Transactions on Evolutionary Computation (2020) Vol. 24, Iss. 5, pp. 882-895
Closed Access | Times Cited: 281
A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9573-9586
Closed Access | Times Cited: 230
A comprehensive survey on recent metaheuristics for feature selection
Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz
Neurocomputing (2022) Vol. 494, pp. 269-296
Open Access | Times Cited: 227
Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
Ying Hu, Zhang Yon, Dunwei Gong
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 2, pp. 874-888
Closed Access | Times Cited: 215
Dynamic Salp swarm algorithm for feature selection
Mohammad Tubishat, Salinah Ja’afar, Mohammed Alswaitti, et al.
Expert Systems with Applications (2020) Vol. 164, pp. 113873-113873
Closed Access | Times Cited: 186
Integration of multi-objective PSO based feature selection and node centrality for medical datasets
Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4370-4384
Closed Access | Times Cited: 169
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
Approaches to Multi-Objective Feature Selection: A Systematic Literature Review
Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, et al.
IEEE Access (2020) Vol. 8, pp. 125076-125096
Open Access | Times Cited: 143
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
A novel community detection based genetic algorithm for feature selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 129
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies
An‐Da Li, Bing Xue, Mengjie Zhang
Applied Soft Computing (2021) Vol. 106, pp. 107302-107302
Closed Access | Times Cited: 128
A multi-objective optimization algorithm for feature selection problems
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh
Engineering With Computers (2021) Vol. 38, Iss. S3, pp. 1845-1863
Closed Access | Times Cited: 124
A novel multi-objective forest optimization algorithm for wrapper feature selection
Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian
Expert Systems with Applications (2021) Vol. 175, pp. 114737-114737
Closed Access | Times Cited: 104
A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Abiodun Esther Omolara, Abdulatif Alabdulatif, Oludare Isaac Abiodun, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15091-15118
Open Access | Times Cited: 101
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
Mohammad H. Nadimi-Shahraki, Hoda Zamani
Expert Systems with Applications (2022) Vol. 198, pp. 116895-116895
Closed Access | Times Cited: 92
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach
Peng Wang, Bing Xue, Jing Liang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 2, pp. 296-310
Closed Access | Times Cited: 69
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1896-1911
Open Access | Times Cited: 61
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
N. Ganesh, Rajendran Shankar, Róbert Čep, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3223-3223
Open Access | Times Cited: 60
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges
Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 1156-1176
Closed Access | Times Cited: 58
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Majdi Mafarja, Thaer Thaher, Mohammed Azmi Al‐Betar, et al.
Applied Intelligence (2023)
Open Access | Times Cited: 55
A feature selection approach based on NSGA-II with ReliefF
Yu Xue, Haokai Zhu, Ferrante Neri
Applied Soft Computing (2023) Vol. 134, pp. 109987-109987
Open Access | Times Cited: 52
A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection
Changting Zhong, Gang Li, Zeng Meng, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106520-106520
Open Access | Times Cited: 40
Information gain ratio-based subfeature grouping empowers particle swarm optimization for feature selection
Jinrui Gao, Ziqian Wang, Ting Jin, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111380-111380
Closed Access | Times Cited: 22
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