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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:

Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data
Binh Tran, Bing Xue, Mengjie Zhang
Lecture notes in computer science (2017), pp. 210-226
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Explainable Artificial Intelligence by Genetic Programming: A Survey
Yi Mei, Qi Chen, Andrew Lensen, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 621-641
Closed Access | Times Cited: 72
Unbalanced breast cancer data classification using novel fitness functions in genetic programming
Divyaansh Devarriya, Cairo Gulati, Vidhi Mansharamani, et al.
Expert Systems with Applications (2019) Vol. 140, pp. 112866-112866
Closed Access | Times Cited: 115
Genetic programming for multiple-feature construction on high-dimensional classification
Binh Tran, Bing Xue, Jun Zhang
Pattern Recognition (2019) Vol. 93, pp. 404-417
Open Access | Times Cited: 98
Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
Wenbin Pei, Bing Xue, Mengjie Zhang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 2, pp. 353-373
Closed Access | Times Cited: 18
Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
Lecture notes in computer science (2018), pp. 271-288
Closed Access | Times Cited: 34
A Feature Selection based on perturbation theory
Javad Rahimipour Anaraki, Hamid Usefi
Expert Systems with Applications (2019) Vol. 127, pp. 1-8
Open Access | Times Cited: 29
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism
Wenbin Pei, Bing Xue, Lin Shang, et al.
Soft Computing (2020) Vol. 24, Iss. 23, pp. 18021-18038
Closed Access | Times Cited: 21
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]
Wenbin Pei, Bing Xue, Lin Shang, et al.
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 1, pp. 84-98
Closed Access | Times Cited: 17
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
GSP: an automatic programming technique with gravitational search algorithm
Afsaneh Mahanipour, Hossein Nezamabadi‐pour
Applied Intelligence (2018) Vol. 49, Iss. 4, pp. 1502-1516
Closed Access | Times Cited: 17
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data
Wenbin Pei, Bing Xue, Lin Shang, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 2779-2786
Closed Access | Times Cited: 17
A multiple feature construction method based on gravitational search algorithm
Afsaneh Mahanipour, Hossein Nezamabadi‐pour
Expert Systems with Applications (2019) Vol. 127, pp. 199-209
Closed Access | Times Cited: 15
Evolving autoencoding structures through genetic programming
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
Genetic Programming and Evolvable Machines (2019) Vol. 20, Iss. 3, pp. 413-440
Closed Access | Times Cited: 15
Using fuzzy-rough set feature selection for feature construction based on genetic programming
Afsaneh Mahanipour, Hossein Nezamabadi‐pour, Bahareh Nikpour
(2018), pp. 1-6
Closed Access | Times Cited: 12
Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante, et al.
Lecture notes in computer science (2020), pp. 48-62
Closed Access | Times Cited: 10
A new feature extraction technique based on improved owl search algorithm: a case study in copper electrorefining plant
N. Mansouri, Gholam Reza Khayati, Behnam Mohammad Hasani Zade, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7749-7814
Closed Access | Times Cited: 6
Automatic Feature Construction for Network Intrusion Detection
Binh Tran, Stjepan Picek, Bing Xue
Lecture notes in computer science (2017), pp. 569-580
Closed Access | Times Cited: 9
Recent Developments on Evolutionary Computation Techniques to Feature Construction
Idheba Mohamad Ali O. Swesi, Azuraliza Abu Bakar
Studies in computational intelligence (2019), pp. 109-122
Open Access | Times Cited: 7
FEATURE CLUSTERING FOR PSO-BASED FEATURE CONSTRUCTION ON HIGH-DIMENSIONAL DATA
Idheba Mohamad Ali O. Swesi, Azuraliza Abu Bakar
Journal of Information and Communication Technology (2019) Vol. 18
Open Access | Times Cited: 7
Convolutional Genetic Programming
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
Lecture notes in computer science (2019), pp. 47-57
Closed Access | Times Cited: 6
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming
Peng Wang, Bing Xue, Jing Liang, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Feature selection strategy based on hybrid horse herd optimization algorithm and perturbation theory: an mRMI approach
Nasibeh Emami, Marjan Kuchaki Rafsanjani
Annals of Operations Research (2024)
Closed Access
Feature selection, construction and search space reduction based on genetic programming for high-dimensional datasets
David Herrera-Sánchez, Efrén Mezura‐Montes, Héctor‐Gabriel Acosta‐Mesa, et al.
Neural Computing and Applications (2024)
Closed Access
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data
Wenbin Pei, Bing Xue, Lin Shang, et al.
Lecture notes in computer science (2018), pp. 643-655
Closed Access | Times Cited: 2
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