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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 1-25 of 1584 citing articles:

Investigating the impact of data normalization on classification performance
Dalwinder Singh, Birmohan Singh
Applied Soft Computing (2019) Vol. 97, pp. 105524-105524
Closed Access | Times Cited: 1130
Benchmark for filter methods for feature selection in high-dimensional classification data
Andrea Bommert, Xudong Sun, Bernd Bischl, et al.
Computational Statistics & Data Analysis (2019) Vol. 143, pp. 106839-106839
Open Access | Times Cited: 544
Bio-inspired computation: Where we stand and what's next
Javier Del Ser, Eneko Osaba, Daniel Molina, et al.
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 220-250
Open Access | Times Cited: 526
Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
Prachi Agrawal, Hattan F. Abutarboush, Talari Ganesh, et al.
IEEE Access (2021) Vol. 9, pp. 26766-26791
Open Access | Times Cited: 425
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
Differential evolution for filter feature selection based on information theory and feature ranking
Emrah Hançer, Bing Xue, Jun Zhang
Knowledge-Based Systems (2017) Vol. 140, pp. 103-119
Open Access | Times Cited: 347
Feature selection for high-dimensional classification using a competitive swarm optimizer
Shenkai Gu, Ran Cheng, Yaochu Jin
Soft Computing (2016) Vol. 22, Iss. 3, pp. 811-822
Closed Access | Times Cited: 343
A survey on swarm intelligence approaches to feature selection in data mining
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Swarm and Evolutionary Computation (2020) Vol. 54, pp. 100663-100663
Closed Access | Times Cited: 336
Swarm Intelligence Algorithms for Feature Selection: A Review
Lucija Brezočnik, Iztok Fister, Vili Podgorelec
Applied Sciences (2018) Vol. 8, Iss. 9, pp. 1521-1521
Open Access | Times Cited: 323
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
Yu Xue, Bing Xue, Jun Zhang
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 5, pp. 1-27
Open Access | Times Cited: 302
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
Miodrag Živković, Nebojša Bačanin, K. Venkatachalam, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102669-102669
Open Access | Times Cited: 292
Pareto front feature selection based on artificial bee colony optimization
Emrah Hançer, Bing Xue, Mengjie Zhang, et al.
Information Sciences (2017) Vol. 422, pp. 462-479
Open Access | Times Cited: 290
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
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer, et al.
European Journal of Operational Research (2021) Vol. 296, Iss. 2, pp. 393-422
Open Access | Times Cited: 278
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, et al.
Annual Reviews in Control (2018) Vol. 46, pp. 107-133
Closed Access | Times Cited: 256
AI-based modeling and data-driven evaluation for smart manufacturing processes
Mohammadhossein Ghahramani, Yan Qiao, Meng Chu Zhou, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 7, Iss. 4, pp. 1026-1037
Open Access | Times Cited: 253
A comprehensive survey on feature selection in the various fields of machine learning
Pradip Dhal, Chandrashekhar Azad
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 4543-4581
Closed Access | Times Cited: 252
Review on Smart Gas Sensing Technology
Shaobin Feng, Fadi Farha, Qingjuan Li, et al.
Sensors (2019) Vol. 19, Iss. 17, pp. 3760-3760
Open Access | Times Cited: 251
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification
Binh Tran, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 3, pp. 473-487
Open Access | Times Cited: 245
Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey
Yanxing Song, F. Richard Yu, Li Zhou, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 6, pp. 4250-4274
Closed Access | Times Cited: 234
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
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, et al.
Computers and Electronics in Agriculture (2018) Vol. 155, pp. 220-236
Closed Access | Times Cited: 209
A return-cost-based binary firefly algorithm for feature selection
Zhang Yon, Xianfang Song, Dunwei Gong
Information Sciences (2017) Vol. 418-419, pp. 561-574
Closed Access | Times Cited: 204
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