Kyung Hwan Kim - Citegraph

Author Info

Name	Affiliation	Papers
KYUNG HWAN KIM	Seoul Natl Univ, Coll Med, Seoul, South Korea	16
Collaborators	Citations	PageRank
44	125	17.28
Referers	Referees	References
377	244	78

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100377

Publications (16 rows)

Collaborators (44 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Covert Intention to Answer "Yes" or "No" Can Be Decoded from Single-Trial Electroencephalograms (EEGs).	0	0.34	2019
Introduction of a Program to Improve the Information Sharing System of Food Allergy Patients.	0	0.34	2019
Covert Intention to Answer to Self-Referential Questions Is Represented in Alpha-Band Local and Interregional Neural Synchronies.	0	0.34	2019
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach	14	0.69	2014
Patient-specific coronary artery blood flow simulation using myocardial volume partitioning	0	0.34	2013
Interactive manipulation and visualization of a deformable 3D organ model for medical diagnostic support	1	0.38	2013
Factors Affecting the Satisfaction of Electronic Health Records (EHRs) from a Physicians' Perspectives in Implementation.	0	0.34	2013
A Sound Processor for Cochlear Implant Using a Simple Dual Path Nonlinear Model of Basilar Membrane.	1	0.35	2013
Estimating periodic organ motions based on inverse kinematics using tetrahedron mesh registration	0	0.34	2013
Mathematical Issues in the Inference of Causal Interactions among Multichannel Neural Signals.	0	0.34	2012
An EEG-based real-time cortical functional connectivity imaging system.	4	0.42	2011
Improvement of spike train decoder under spike detection and classification errors using support vector machine.	2	0.42	2006
A Wavelet-Based Method for Action Potential Detection From Extracellular Neural Signal Recording With Low Signal-to-Noise Ratio	40	3.05	2003
Method for unsupervised classification of multiunit neural signal recording under low signal-to-noise ratio.	11	0.96	2003
Neural spike sorting under nearly 0-dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier.	50	7.18	2000
Noise performance design of CMOS preamplifier for the active semiconductor neural probe	2	1.46	2000

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