Citation Impact

Citing Papers

State-of-the-art in artificial neural network applications: A survey
2018 Standout
Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future
2014 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Knowledge and intelligent computing system in medicine
2009 Standout
Concept learning via granular computing: A cognitive viewpoint
2014 Standout
Deep learning-based automated detection of retinal diseases using optical coherence tomography images
2019
Trends in extreme learning machines: A review
2014 Standout
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data
2018
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
2018
Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
2021 Standout
Triangular fuzzy decision-theoretic rough sets
2013 Standout
Granular Computing: Perspectives and Challenges
2013 Standout
SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
2012
Big Data technologies: A survey
2017 Standout
Sparse Representation of Monogenic Signal: With Application to Target Recognition in SAR Images
2014
Reverse logistics strategies for end‐of‐life products
2008
Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning
2017
Dimensionality reduction based on rough set theory: A review
2008
Literature review of Industry 4.0 and related technologies
2018 Standout
Toward Digitalization of Maritime Transport?
2019 Standout
Leaf image based cucumber disease recognition using sparse representation classification
2017
Using deep transfer learning for image-based plant disease identification
2020 Standout
Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II
2008
GreenSea: Visual Soccer Analysis Using Broad Learning System
2020 Standout
Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Biomolecular Data
2013
Classification on the Monogenic Scale Space: Application to Target Recognition in SAR Image
2015
Knowledge Distillation: A Survey
2021 Standout
Large-Scale Multi-View Subspace Clustering in Linear Time
2020 Standout
Unsupervised feature selection by self-paced learning regularization
2018
An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities
2016
Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles
2014
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers
2018
A survey on ensemble learning
2019 Standout
Incomplete Multigranulation Rough Set
2009 Standout
Soft sets and soft groups
2007 Standout
Case learning for CBR-based collision avoidance systems
2010
Neighborhood rough set based heterogeneous feature subset selection
2008
Granular Computing and Knowledge Reduction in Formal Contexts
2008
Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data
2014
Fuzzy case-based reasoning for facial expression recognition
2008
Rough sets and Boolean reasoning
2006
Target Classification Using the Deep Convolutional Networks for SAR Images
2016 Standout
Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
2015 Standout
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network
2020 Standout
Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
2014 Standout
Rudiments of rough sets
2006
Face Alignment With Deep Regression
2016
Sample Pair Selection for Attribute Reduction with Rough Set
2012 Standout
Rough Cluster Quality Index Based on Decision Theory
2009

Works of Simon Shiu being referenced

Molecular Pattern Discovery Based on Penalized Matrix Decomposition
2011
Metasample-Based Sparse Representation for Tumor Classification
2011
Soft case-based reasoning
2005
Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition
2012
Case-Based Reasoning: Concepts, Features and Soft Computing
2004
Effective texture classification by texton encoding induced statistical features
2014
RTS game strategy evaluation using extreme learning machine
2012
Unsupervised feature selection by regularized self-representation
2014
A rough set-based CBR approach for feature and document reduction in text categorization
2005
Combining feature reduction and case selection in building CBR classifiers
2006
Interval extreme learning machine for big data based on uncertainty reduction
2015
Fast and robust face recognition via coding residual map learning based adaptive masking
2013
Robust Kernel Representation With Statistical Local Features for Face Recognition
2013
Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri Nets
1999
A rough set-based case-based reasoner for text categorization
2005
Rankless by CCL
2026