Hyo Jong Lee - Concepedia

Author

Hyo Jong Lee

Also Known As

Cao, Yuan, H.-J. Lee, H.J. Lee, HYO JONG LEE, Hyo Jong Lee, Hyo Jong Lee -, Hyo Lee, Hyo-Jong Lee, Lee, Hyo Jong, Lee, Hyo-Jong;

177

Publications

2.8K

Citations

H-Index

110

Concepts

All Affiliations

Jeonbuk National University Mind Research Network University of New Mexico University of California, San Francisco Georgia State University

About

Hyo Jong Lee is an author at Jeonbuk National University specializing in engineering, computer vision, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	31	1.4K
2	Medicine	7	7	687
3	Natural Sciences	3	3	50
4	Education	1	1	40
5	Health Sciences	1	1	28

Hyo Jong Lee

Publications

Citations

H-Index

Page 1

	Year	Citations
Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis Cota Navin Gupta, Vince D. Calhoun, Srinivas Rachakonda, Schizophrenia Bulletin NeuropsychologyGray Matter ConcentrationPsychologySocial SciencesInternational Mega-analysis	2014	221
Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors Raja Majid Mehmood, Ruoyu Du, Hyo Jong Lee IEEE Access Optimal Feature SelectionEngineeringMachine LearningHealthy SubjectsHjorth Parameters	2017	209
The Function Biomedical Informatics Research Network Data Repository David B. Keator, Theo G.M. van Erp, Jessica A. Turner, NeuroImage EngineeringBioinformatics DatabaseData ScienceTranslational BioinformaticsBiomedical Data Integration	2015	187
Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture Hyo Jong Lee, Ihsan Ullah, Weiguo Wan, Sensors Convolutional Neural NetworkEngineeringMachine LearningImage ClassificationImage Analysis	2019	127
Salience–Default Mode Functional Network Connectivity Linked to Positive and Negative Symptoms of Schizophrenia Stephanie Hare, Judith M. Ford, Daniel H. Mathalon, Schizophrenia Bulletin NeuropsychologyBrain FunctionNeurolinguisticsAffective NeuroscienceBrain Organization	2018	115
Human Action Monitoring for Healthcare Based on Deep Learning Yongbin Gao, Xuehao Xiang, Naixue Xiong, IEEE Access Machine VisionMachine LearningData ScienceImage AnalysisPattern Recognition	2018	108
Emotion classification of EEG brain signal using SVM and KNN Raja Majid Mehmood, Hyo Jong Lee Eeg Brain SignalEngineeringBiometricsAffective NeuroscienceFeature Extraction	2015	98
Deep learninig of EEG signals for emotion recognition Yongbin Gao, Hyo Jong Lee, Raja Majid Mehmood EngineeringMachine LearningAffective NeuroscienceSocial SciencesData Science	2015	89
Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia Sergey Plis, Md. Faijul Amin, Adam M. Chekroud, NeuroImage Neuroimaging ModalityPsychiatryBrain StructureMedicineNeurolinguistics	2018	57
Local Tiled Deep Networks for Recognition of Vehicle Make and Model Yongbin Gao, Hyo Jong Lee Sensors Image ClassificationVehicle MmrMachine VisionMachine LearningImage Analysis	2016	55

Page 1