Na Han - Concepedia

Author

Na Han

Guangdong University of Technology ORCID

Also Known As

Han Na, Na Han

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Guangdong University of Technology Guangdong Polytechnic Normal University Harbin Institute of Technology Cloud Computing Center Hong Kong Polytechnic University

About

Na Han is an author at Guangdong University of Technology specializing in engineering, data science, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	18	715
2	Data Science	17	17	699
3	Computer Science	13	13	489
4	Natural Sciences	1	1	19
5	Artificial Intelligence	1	1	62

Na Han

Publications

944

Citations

H-Index

Page 1

	Year	Citations
Low-Rank Preserving Projection Via Graph Regularized Reconstruction Jie Wen, Na Han, Xiaozhao Fang, IEEE Transactions on Cybernetics	2018	175
Approximate Low-Rank Projection Learning for Feature Extraction Xiaozhao Fang, Na Han, Jigang Wu, IEEE Transactions on Neural Networks and Learning Systems Original LatlrrLow-rank ApproximationImage AnalysisMachine LearningData Science	2018	114
Adaptive weighted nonnegative low-rank representation Jie Wen, Bob Zhang, Yong Xu, Pattern Recognition EngineeringMachine LearningData ScienceMatrix FactorizationPattern Recognition	2018	109
Active Transfer Learning Zhihao Peng, Wei Zhang, Na Han, IEEE Transactions on Circuits and Systems for Video Technology Artificial IntelligenceTraining SetImage AnalysisMachine LearningData Science	2019	62
Double Relaxed Regression for Image Classification Na Han, Jigang Wu, Xiaozhao Fang, IEEE Transactions on Circuits and Systems for Video Technology EngineeringMachine LearningRobust FeatureImage ClassificationImage Analysis	2019	42
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification Xiaozhao Fang, Na Han, Wai Keung Wong, IEEE Transactions on Neural Networks and Learning Systems Cluster ComputingDocument ClusteringAffinity MatrixMachine LearningData Science	2018	41
Unsupervised feature extraction by low-rank and sparsity preserving embedding Shanhua Zhan, Jigang Wu, Na Han, Neural Networks Unsupervised Feature ExtractionImage AnalysisEngineeringData SciencePattern Recognition	2018	41
Transferable Linear Discriminant Analysis Na Han, Jigang Wu, Xiaozhao Fang, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningBiometricsNovel Transferable LdaData Science	2020	36
Joint sparse representation and locality preserving projection for feature extraction Wei Zhang, Peipei Kang, Xiaozhao Fang, International Journal of Machine Learning and Cybernetics Sparse RepresentationMachine VisionMachine LearningData ScienceImage Analysis	2018	35
Low-rank and sparse embedding for dimensionality reduction Na Han, Jigang Wu, Yingyi Liang, Neural Networks Sparse EmbeddingEngineeringMachine LearningData ScienceData Mining	2018	29

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