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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 novel relation aware wrapper method for feature selection
Zhaogeng Liu, Jielong Yang, Li Wang, et al.
Pattern Recognition (2023) Vol. 140, pp. 109566-109566
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Multi-label Feature selection with adaptive graph learning and label information enhancement
Zhi Qin, Hongmei Chen, Yong Mi, et al.
Knowledge-Based Systems (2024) Vol. 285, pp. 111363-111363
Closed Access | Times Cited: 10
Information gain-based multi-objective evolutionary algorithm for feature selection
Baohang Zhang, Ziqian Wang, Haotian Li, et al.
Information Sciences (2024) Vol. 677, pp. 120901-120901
Open Access | Times Cited: 8
Feature selection algorithm based on optimized genetic algorithm and the application in high-dimensional data processing
Guilian Feng
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303088-e0303088
Open Access | Times Cited: 7
A novel framework for feature simplification and selection in flood susceptibility assessment based on machine learning
Kaili Zhu, Chengguang Lai, Zhaoli Wang, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101739-101739
Open Access | Times Cited: 6
An adaptive matrix-based evolutionary computation framework for EEG feature selection
Dan-Ting Duan, Bing Sun, Qiang Yang, et al.
Memetic Computing (2025) Vol. 17, Iss. 1
Closed Access
Feature Selection Based on Membrane Clustering
Sharmin Sultana Sheuly, Johannes Deivard, Tiberiu Seceleanu, et al.
Communications in computer and information science (2025), pp. 171-182
Closed Access
Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection
Ting Cai, Fan Ma, Zhiwei Ye, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimizing Cancer Classification and Gene Discovery with an Adaptive Learning Search Algorithm for Microarray Analysis
Chiwen Qu, Heng Yao, Tingjiang Pan, et al.
Journal of Bionic Engineering (2025)
Closed Access
Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
Neurocomputing (2025), pp. 129898-129898
Closed Access
Mathematical Approach
Naren Kathirvel, A. Kathirvel, N. Saravanan, et al.
Advances in electronic government, digital divide, and regional development book series (2024), pp. 253-280
Closed Access | Times Cited: 4
Decision making based ensemble feature selection approach through a new score function in q-rung orthopair hesitant fuzzy environment
S. Kavitha, N. Kendra, J. Satheeshkumar, et al.
Mathematics and Computers in Simulation (2025)
Closed Access
Analyzing fragmentation response of heterogeneous ring using the method of characteristics and machine learning techniques
Reza Abedi, Colin Furey, Farhad Pourkamali‐Anaraki, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117709-117709
Closed Access
Capsule feature selector for software defect prediction
Yu Tang, Qi Dai, Ye Du, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation
Runxin Li, Xiong Yang, Xiaowu Li, et al.
Expert Systems with Applications (2025) Vol. 273, pp. 126844-126844
Closed Access
Robust sparse orthogonal basis clustering for unsupervised feature selection
Jianyu Miao, Jingjing Zhao, Tiejun Yang, et al.
Expert Systems with Applications (2025), pp. 126890-126890
Closed Access
Sparse pinball Universum nonparallel support vector machine and its safe screening rule
Hongmei Wang, Ping Li, Yuyan Zheng, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Adaptive Method for Feature Selection in the Machine Learning Context
Yamen El Touati, Jihane Ben Slimane, Taoufik Saidani
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14295-14300
Open Access | Times Cited: 3
An Improved Binary Walrus Optimizer with Golden Sine Disturbance and Population Regeneration Mechanism to Solve Feature Selection Problems
Yanyu Geng, Ying Li, Deng Chun-yan
Biomimetics (2024) Vol. 9, Iss. 8, pp. 501-501
Open Access | Times Cited: 2
A wrapper feature selection approach using Markov blankets
Atif Hassan, Jiaul H. Paik, Swanand Khare, et al.
Pattern Recognition (2024), pp. 111069-111069
Closed Access | Times Cited: 2
Incremental feature selection for dynamic incomplete data using sub-tolerance relations
Jie Zhao, Yun Ling, Faliang Huang, et al.
Pattern Recognition (2023) Vol. 148, pp. 110125-110125
Closed Access | Times Cited: 6
Black-Box Attacks on Graph Neural Networks via White-Box Methods With Performance Guarantees
Jielong Yang, Rui Ding, Jianyu Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18193-18204
Closed Access | Times Cited: 1
FairScene: Learning unbiased object interactions for indoor scene synthesis
WU Zhen-yu, Ziwei Wang, Shengyu Liu, et al.
Pattern Recognition (2024) Vol. 156, pp. 110737-110737
Closed Access | Times Cited: 1
Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA
Duanzhang Li, Hongmei Chen, Yong Mi, et al.
Information Sciences (2024) Vol. 662, pp. 120227-120227
Closed Access
Sine cosine algorithm-based feature selection for improved machine learning models in polycystic ovary syndrome diagnosis
Ishwari Singh Rajput, Sonam Tyagi, Aditya Gupta, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75007-75031
Closed Access
Multi-Level Sparse Network Lasso: Locally Sparse Learning with Flexible Sample Clusters
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
(2024)
Closed Access
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