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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 group incremental feature selection for classification using rough set theory based genetic algorithm
Asit Kumar Das, Shampa Sengupta, Siddhartha Bhattacharyya
Applied Soft Computing (2018) Vol. 65, pp. 400-411
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.
Information Sciences (2019) Vol. 502, pp. 18-41
Closed Access | Times Cited: 236
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification
Yu Xue, Haokai Zhu, Jiayu Liang, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107218-107218
Closed Access | Times Cited: 142
Genetic Algorithms in the Fields of Artificial Intelligence and Data Sciences
Ayesha Sohail
Annals of Data Science (2021) Vol. 10, Iss. 4, pp. 1007-1018
Closed Access | Times Cited: 141
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection
Pei Hu, Jeng‐Shyang Pan, Shu‐Chuan Chu, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108736-108736
Closed Access | Times Cited: 71
A feature selection approach based on NSGA-II with ReliefF
Yu Xue, Haokai Zhu, Ferrante Neri
Applied Soft Computing (2023) Vol. 134, pp. 109987-109987
Open Access | Times Cited: 55
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers
Yu Xue, Tao Tang, Wei Pang, et al.
Applied Soft Computing (2019) Vol. 88, pp. 106031-106031
Open Access | Times Cited: 140
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Abdul Majid, Muhammad Attique Khan, Mussarat Yasmin, et al.
Microscopy Research and Technique (2020) Vol. 83, Iss. 5, pp. 562-576
Closed Access | Times Cited: 133
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy
Xiao Zhang, Changlin Mei, Degang Chen, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 5, pp. 901-915
Closed Access | Times Cited: 124
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.
Applied Intelligence (2018) Vol. 49, Iss. 4, pp. 1245-1259
Closed Access | Times Cited: 100
Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets
Binbin Sang, Hongmei Chen, Lei Yang, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 6, pp. 1683-1697
Closed Access | Times Cited: 91
Fast hybrid dimensionality reduction method for classification based on feature selection and grouped feature extraction
Mengmeng Li, Haofeng Wang, Lifang Yang, et al.
Expert Systems with Applications (2020) Vol. 150, pp. 113277-113277
Closed Access | Times Cited: 87
Feature selection via normative fuzzy information weight with application into tumor classification
Jianhua Dai, Jiaolong Chen
Applied Soft Computing (2020) Vol. 92, pp. 106299-106299
Closed Access | Times Cited: 85
Feature selection based on brain storm optimization for data classification
Farhad Pourpanah, Yuhui Shi, Chee Peng Lim, et al.
Applied Soft Computing (2019) Vol. 80, pp. 761-775
Closed Access | Times Cited: 79
Incremental feature selection based on fuzzy rough sets
Peng Ni, Suyun Zhao, Xizhao Wang, et al.
Information Sciences (2020) Vol. 536, pp. 185-204
Closed Access | Times Cited: 65
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems
Lin Sun, Lanying Wang, Yuhua Qian, et al.
Knowledge-Based Systems (2019) Vol. 186, pp. 104942-104942
Closed Access | Times Cited: 56
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set
Binbin Sang, Hongmei Chen, Lei Yang, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107223-107223
Closed Access | Times Cited: 53
Multiobjective Hyperspectral Feature Selection Based on Discrete Sine Cosine Algorithm
Yuting Wan, Ailong Ma, Yanfei Zhong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 5, pp. 3601-3618
Closed Access | Times Cited: 50
Feature selection based on improved binary global harmony search for data classification
Jafar Gholami, Farhad Pourpanah, Xizhao Wang
Applied Soft Computing (2020) Vol. 93, pp. 106402-106402
Closed Access | Times Cited: 50
Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification
Lin Ke, Min Li, Lei Wang, et al.
Pattern Analysis and Applications (2022) Vol. 26, Iss. 2, pp. 455-472
Closed Access | Times Cited: 29
Improved versions of snake optimizer for feature selection in medical diagnosis: a real case COVID-19
Malik Braik, Abdelaziz I. Hammouri, Mohammed A. Awadallah, et al.
Soft Computing (2023) Vol. 27, Iss. 23, pp. 17833-17865
Closed Access | Times Cited: 16
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network
Jin Liu, Ran Su, Jiahang Zhang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Closed Access | Times Cited: 43
Robust supervised rough granular description model with the principle of justifiable granularity
Hengrong Ju, Weiping Ding, Xibei Yang, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107612-107612
Closed Access | Times Cited: 39
The impact of digital marketing strategies on customer’s buying behavior in online shopping using the rough set theory
Ebrahim Forghani, Reza Sheikh, Seyed Mohammad Hassan Hosseini, et al.
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. 2, pp. 625-640
Closed Access | Times Cited: 38
MFeature: Towards high performance evolutionary tools for feature selection
Yueting Xu, Hui Huang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115655-115655
Closed Access | Times Cited: 35
Feature selection based on fuzzy combination entropy considering global and local feature correlation
Jianhua Dai, Qi Liu, Xiongtao Zou, et al.
Information Sciences (2023) Vol. 652, pp. 119753-119753
Closed Access | Times Cited: 14
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