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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:

Mutual information for feature selection: estimation or counting?
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Evolutionary Intelligence (2016) Vol. 9, Iss. 3, pp. 95-110
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 349
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
Mutual information based feature subset selection in multivariate time series classification
Josu Ircio, Aizea Lojo, Usue Mori, et al.
Pattern Recognition (2020) Vol. 108, pp. 107525-107525
Open Access | Times Cited: 50
Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters
Amir Reza Naderi Yaghouti, Hamed Zamanian, Ahmad Shalbaf
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Causal Discovery and Reasoning for Continuous Variables with an Improved Bayesian Network Constructed by Locality Sensitive Hashing and Kernel Density Estimation
Chenghao Wei, Chen Li, Yingying Liu, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 123-123
Open Access
PSO with surrogate models for feature selection: static and dynamic clustering-based methods
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Memetic Computing (2018) Vol. 10, Iss. 3, pp. 291-300
Closed Access | Times Cited: 36
A Survey on Evolutionary Machine Learning
Harith Al-Sahaf, Ying Bi, Qi Chen, et al.
(2020)
Open Access | Times Cited: 28
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
Emrah Hançer
Connection Science (2019) Vol. 31, Iss. 4, pp. 323-341
Closed Access | Times Cited: 29
An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme
Emrah Hançer
Machine Learning (2021) Vol. 113, Iss. 8, pp. 4977-5000
Open Access | Times Cited: 21
Evolutionary feature manipulation in data mining/big data
Bing Xue, Mengjie Zhang
ACM SIGEVOlution (2017) Vol. 10, Iss. 1, pp. 4-11
Closed Access | Times Cited: 19
Simultaneous feature and instance selection in big noisy data using memetic variable neighborhood search
Chun‐Cheng Lin, Jia-Rong Kang, Yangyang Liang, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107855-107855
Closed Access | Times Cited: 15
Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO
Gianluigi Silvestri, Laura Sani, Michele Amoretti, et al.
Communications in computer and information science (2018), pp. 308-321
Closed Access | Times Cited: 14
Compact feature subset-based multi-label music categorization for mobile devices
Jaesung Lee, Wangduk Seo, Jin-Hyeong Park, et al.
Multimedia Tools and Applications (2018) Vol. 78, Iss. 4, pp. 4869-4883
Closed Access | Times Cited: 14
A Hybrid GA-GP Method for Feature Reduction in Classification
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Lecture notes in computer science (2017), pp. 591-604
Closed Access | Times Cited: 13
A differential evolution based feature selection approach using an improved filter criterion
Emrah Hançer, Bing Xue, Mengjie Zhang
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2017), pp. 1-8
Closed Access | Times Cited: 8
Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains
Vural Aksakallı, Zeren D. Yenice, Milad Malekipirbazari, et al.
Computers & Operations Research (2021) Vol. 132, pp. 105334-105334
Closed Access | Times Cited: 5
A Survey on Evolutionary Machine Learning
Harith Al-Sahaf, Ying Bi, Qi Chen, et al.
(2020)
Open Access | Times Cited: 4
Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information
Bing Xue, Mitchell C. Lane, Ivy Liu, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2016) Vol. 3, pp. 1-8
Closed Access | Times Cited: 3
Forestry Investigation Phase 2: Enhancing Bark Classification with Boosted Support Vector Machines Using Bagging and Feature Selection Techniques
Gokul Kottilapurath Surendran, D. A., Jozef Výbošťok, et al.
(2024)
Closed Access
Evolutionary Classification
Bach Hoai Nguyen, Bing Xue, Will N. Browne, et al.
Genetic and evolutionary computation (2023), pp. 171-204
Closed Access | Times Cited: 1
An Efficient Parallel Hybrid Feature Selection Approach for Big Data Analysis
Mohamed Amine Azaiz, Djamel Amar Bensaber
International Journal of Swarm Intelligence Research (2022) Vol. 13, Iss. 1, pp. 1-22
Closed Access | Times Cited: 2
Revisiting Feature Ranking Methods using Information-Centric and Evolutionary Approaches: Survey
Rashmi Gandhi, Udayan Ghose, Hardeo Kumar Thakur
International Journal of Sensors Wireless Communications and Control (2021) Vol. 12, Iss. 1, pp. 5-18
Closed Access | Times Cited: 2
Differential evolution for filter feature selection based on information theory and feature ranking
E Hancer, Bing Xue, Jun Zhang
(2021)
Open Access | Times Cited: 1
Differential evolution for filter feature selection based on information theory and feature ranking
E Hancer, Bing Xue, Jun Zhang
(2021)
Open Access | Times Cited: 1
A Survey on Evolutionary Machine Learning
Harith Al-Sahaf, Ying Bi, Qi Chen, et al.
(2020)
Open Access
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