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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 fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance
Zeyu Qiu, Hong Zhao
Applied Intelligence (2022) Vol. 52, Iss. 10, pp. 11089-11102
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Feature selection for classification with Spearman’s rank correlation coefficient-based self-information in divergence-based fuzzy rough sets
Jiefang Jiang, Xianyong Zhang, Zhong Yuan
Expert Systems with Applications (2024) Vol. 249, pp. 123633-123633
Closed Access | Times Cited: 25
A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets
Anoop Kumar Tiwari, Abhigyan Nath, Rakesh Kumar Pandey, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124087-124087
Closed Access | Times Cited: 6
Feature selection using three-stage heuristic measures based on mutual fuzzy granularities
Qian Wang, Xianyong Zhang
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1445-1473
Closed Access | Times Cited: 5
Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification
Wanli Huang, Yanhong She, Xiaoli He, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 10, pp. 3721-3733
Closed Access | Times Cited: 14
Hybrid similarity relation based mutual information for feature selection in intuitionistic fuzzy rough framework and its applications
Anoop Kumar Tiwari, Rajat Saini, Abhigyan Nath, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
From responsible sourcing of wastes to sustainable energy consumption in the blue hydrogen supply chain: Case of nearshoring in Nuevo Leon
Parvaneh Zeraati Foukolaei, Fatemeh Alizadeh Asari, Moein Khazaei, et al.
International Journal of Hydrogen Energy (2024) Vol. 77, pp. 1387-1400
Closed Access | Times Cited: 4
Hierarchical feature selection driven by inter-category relevance and semantic independence
Zilong Lin, Yaojin Lin, Yang Zhang, et al.
Pattern Recognition (2025) Vol. 161, pp. 111335-111335
Closed Access
Feature selections based on fuzzy probability dominance rough sets in interval-valued ordered decision systems
Xia Liu, Xianyong Zhang, Benwei Chen
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Incremental feature selection for large-scale hierarchical classification with the arrival of new samples
Tian Yang, Yanhong She
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 3933-3953
Closed Access | Times Cited: 2
Online streaming feature selection based on hierarchical structure information
Shuxian Lin, Chenxi Wang, Xiehua Yu, et al.
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 16
Closed Access | Times Cited: 2
Hierarchical few-shot learning based on coarse- and fine-grained relation network
Zhiping Wu, Hong Zhao
Artificial Intelligence Review (2022) Vol. 56, Iss. 3, pp. 2011-2030
Closed Access | Times Cited: 8
Hierarchical feature selection based on neighborhood interclass spacing from fine to coarse
Zilong Lin, Yaojin Lin
Neurocomputing (2024) Vol. 575, pp. 127319-127319
Closed Access | Times Cited: 1
Uncertainty Measure-Based Incremental Feature Selection For Hierarchical Classification
Tian Yang, Yanhong She
International Journal of Fuzzy Systems (2024) Vol. 26, Iss. 6, pp. 2074-2096
Closed Access | Times Cited: 1
Attribute reduction for hierarchical classification based on improved fuzzy rough set
Jie Yang, Xiaodan Qin, Guoyin Wang, et al.
Information Sciences (2024) Vol. 677, pp. 120900-120900
Closed Access | Times Cited: 1
Preference ranking organization method for enrichment evaluation-based feature selection for multiple source ordered information systems
Weihua Xu, Z. Yang
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109935-109935
Closed Access | Times Cited: 1
An incremental approach to hierarchical feature selection by applying fuzzy rough set technique
Yanhong She, Jinlan Wu, Xiaoli He
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2571-2598
Closed Access | Times Cited: 4
Fuzzy rough assisted missing value imputation and feature selection
Pankhuri Jain, Anoop Kumar Tiwari, Tanmoy Som
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2773-2793
Closed Access | Times Cited: 5
High-Precision Automatic Identification of Fentanyl-Related Drugs by Terahertz Spectroscopy with Molecular Dynamics Simulation and Spectral Similarity Mapping
Fangfang Qu, Lei Lin, Pengcheng Nie, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10321-10321
Open Access | Times Cited: 3
Geodesic Fuzzy Rough Sets Based on Overlap Functions and its Applications In Feature Extraction
Chengxi Jian, Junsheng Qiao, Shan He
(2024)
Closed Access
Hierarchical classification with exponential weighting of multi-granularity paths
Yibin Wang, Qing Zhu, Yusheng Cheng
Information Sciences (2024) Vol. 675, pp. 120715-120715
Closed Access
Introduction
Yuanhang Zheng, Zeshui Xu
Studies in fuzziness and soft computing (2024), pp. 1-20
Closed Access
DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint
Yang Zhang, Jie Shi, Hong Zhao
Expert Systems with Applications (2024) Vol. 255, pp. 124588-124588
Closed Access
A new approach for attribute reduction from decision table based on intuitionistic fuzzy topology
Trần Thanh Đại, Nguyễn Long Giang, Vũ Đức Thi, et al.
Soft Computing (2024) Vol. 28, Iss. 20, pp. 11799-11822
Open Access
Rough-Fuzzy Based Synthetic Data Generation Exploring Boundary Region of Rough Sets to Handle Class Imbalance Problem
Mehwish Naushin, Asit Kumar Das, Janmenjoy Nayak, et al.
Axioms (2023) Vol. 12, Iss. 4, pp. 345-345
Open Access | Times Cited: 1
CT image segmentation of meat sheep Loin based on deep learning
Xiaoyao Cao, Yihang Lu, Luming Yang, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293764-e0293764
Open Access | Times Cited: 1
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