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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 many-objective feature selection for multi-label classification
Hongbin Dong, Jing Sun, Xiaohang Sun, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106456-106456
Closed Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

A multi-objective evolutionary feature selection approach for the classification of multi-label data
Pradip Dhal, Chandrashekhar Azad
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 1986-1989
Closed Access | Times Cited: 4
A hybrid metaheuristic algorithm to achieve sustainable production: involving employee characteristics in the job-shop matching problem
Bingtao Quan, Sujian Li, Kuo‐Jui Wu
Journal of Industrial and Production Engineering (2023) Vol. 40, Iss. 4, pp. 246-270
Closed Access | Times Cited: 2
Feature subset selection using heuristic and metaheuristic approaches for diabetes prediction on a binary encoded dataset
Puneet Kumar, Bhoopesh Singh Bhati, Rajesh Kumar Dhanaraj, et al.
Advances in Complex Systems (2024) Vol. 15, Iss. 03
Closed Access
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection
Kaan Demir, Bach Hoai Nguyen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 271-274
Closed Access
Semi-supervised multi-label feature selection based on dual dynamic graph
Xue Zhao, Qiaoyan Li, Zhiwei Xing, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9591-9605
Closed Access
Multiple reference points-based multi-objective feature selection for multi-label learning
Yangtao Chen, Wenbin Qian
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4952-4978
Closed Access
Feature selection on real-time application using hybrid of flamingo search algorithm and improved non-dominated sorting genetic algorithm III
C. Gnana Kousalya, Vinay Kumar, Primitivo Díaz, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2024), pp. 1-19
Closed Access
Decomposition and Clustering-Based Many-Objective Optimization for Multi-Label Feature Selection
Somayeh Kanani, Parham Moradi, Mahdi Jalili
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 671-674
Closed Access
A Multimodal Multi-Objective Feature Selection Method for Intelligent Rating Models of Unmanned Highway Toll Stations
Zhaohui Gao, Huan Mo, Zicheng Yan, et al.
Biomimetics (2024) Vol. 9, Iss. 10, pp. 613-613
Open Access
Multi-Objective Feature Selection Algorithm Based on Mutual Information and NSGA-II
Erchao Li, Lilian T. Sheng
Lecture notes in electrical engineering (2024), pp. 669-680
Closed Access
Multi-label feature selection considering label importance-weighted relevance and label-dependency redundancy
Ma Xiao, H. Liu, Yi Liu, et al.
European Journal of Operational Research (2024) Vol. 322, Iss. 1, pp. 215-236
Closed Access
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation
Kaan Demir, Bach Hoai Nguyen, Bing Xue, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 760-767
Closed Access | Times Cited: 3
Complexity Graph-Based Multilabel Classification Method of Human Action in Rope Skipping Scene
Yichen Wang, Yi Wang, Zhimin Zhang
Security and Communication Networks (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 2
Learn structured analysis discriminative dictionary for multi-label classification
Bo Liu, Zhiyong Che, Ke‐Jian Song, et al.
Applied Intelligence (2021) Vol. 52, Iss. 3, pp. 3175-3192
Closed Access | Times Cited: 2
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification
Kaan Demir, Bach Hoai Nguyen, Bing Xue, et al.
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 823-832
Closed Access | Times Cited: 2
Particle swarm optimisation for sparsity-based feature selection in multi-label classification
Kaan Demir, Bach Hoai Nguyen, Bing Xue, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 232-235
Closed Access | Times Cited: 1
Examining Swarm Intelligence-based Feature Selection for Multi-Label Classification
Awder Mohammed Ahmed, Adnan Mohsin Abdulazeez
Journal of Soft Computing and Data Mining (2021) Vol. 2, Iss. 2
Open Access | Times Cited: 1
Seleksi Fitur Pada Klasifikasi Multi-label Menggunakan Proportional Feature Rough Selector
Vilat Sasax Mandala Putra Paryoko
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) (2021) Vol. 8, Iss. 4, pp. 2084-2094
Open Access | Times Cited: 1
Hybrid genetic algorithm based feature selection to diagnosis breast cancer
Rajeswari Chhual Singh, Santosh Kumar Maharana, Subasish Mohapatra
AIP conference proceedings (2023) Vol. 2814, pp. 020019-020019
Closed Access
Disease classification using neighbourhood centroid opposition based multi-objective flamingo search algorithm based feature selection approach
Revathi Durgam, Nagaraju Devarakonda
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 4, pp. 6911-6922
Closed Access
Multi label feature selection for copper flotation process design
Haipei Dong, Fuli Wang, Dakuo He
2022 34th Chinese Control and Decision Conference (CCDC) (2023), pp. 51-56
Closed Access
A Filter-Based Improved Multi-Objective Equilibrium Optimizer for Single-Label and Multi-Label Feature Selection Problem
Wendong Wang, Yu Li, Jingsen Liu, et al.
International Journal of Computational Intelligence and Applications (2023) Vol. 23, Iss. 01
Closed Access
A Cooperative Co-evolutionary Salp Swarm Feature Selection Algorithm with Reverse Escape Strategy for Classification
Zikang Yu, Hongbin Dong, Jing Sun, et al.
(2023)
Closed Access
A Novel Supervised Feature Selection Method Based on Gaussian Distribution
Lixin Lu, Weihao Wang, Dongdong Kong, et al.
SSRN Electronic Journal (2022)
Closed Access
Feature subset selection using filter, heuristic and meta-heuristic approaches using binary encoded diabetes dataset
Puneet Kumar, Raman Chadha, Sandeep Singh Kang, et al.
AIP conference proceedings (2022) Vol. 2555, pp. 020014-020014
Open Access

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