Hyungbin Son

Hyungbin Son

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2012 in Energy & Environmental Science
Verified
Journal Article
Closed access
PDF file
HKHyunjin Kim
Hyunjin Kim
SKSeong Min Kim
Seong Min Kim
HSHyungbin Son
Hyungbin Son
HKHyeok Kim
Hyeok Kim
BPBoongIk Park
BoongIk Park
YPYoung Jun Park
Young Jun Park
We have shown the enhanced piezoelectricity by electrostatic effects on a textile based platform. The electrostatic and piezoelectric effects were hybridized by integrating piezoelectric ZnO nanowires and a charged dielectric film on a wearable textile substrate. The hybrid textile nanogenerator produced an output voltage of 8 V and an output current of 2.5 μA. Using a simple AC–DC converter circuit, we operated the green organic light-emitting diode and a liquid crystal display panel using a 100 dB sonic wave.

16 December 2019 in ACS Nano
Verified
Journal Article
Closed access
ULUkjae Lee
Ukjae Lee
YHYoojoong Han
Yoojoong Han
SLSanghyub Lee
Sanghyub Lee
JKJun Suk Kim
Jun Suk Kim
YLYoung Hee Lee
Young Hee Lee
HSHyungbin Son
Hyungbin Son

1 February 2018 in Biomaterials
Verified
Journal Article
Closed access
ISIntan Rosalina Suhito
Intan Rosalina Suhito
YHYoojoong Han
Yoojoong Han
JMJunhong Min
Junhong Min
HSHyungbin Son
Hyungbin Son
TKTae-Hyung Kim
Tae-Hyung Kim

1 September 2018 in Colloids and Surfaces B: Biointerfaces
Verified
Journal Article
Closed access
EKEe-Seul Kang
Ee-Seul Kang
ISInbeom Song
Inbeom Song
DKDa-Seul KIM
Da-Seul KIM
ULUkjae Lee
Ukjae Lee
JKJang-Kyo Kim
Jang-Kyo Kim
TKTae-Hyung Kim
Tae-Hyung Kim

1 March 2021 in Materials Science in Semiconductor Processing
Verified
Journal Article
Closed access
MLMoonsang Lee
Moonsang Lee
MYMino Yang
Mino Yang
HLHae-Yong Lee
Hae-Yong Lee
HLHyun Uk Lee
Hyun Uk Lee
HLHyunhwa Lee
Hyunhwa Lee
UKUn Jeong Kim
Un Jeong Kim

11 December 2014 in BMC Genomics
Verified
Journal Article
Open access
PDF file
DNDokyun Na
Dokyun Na
HSHyungbin Son
Hyungbin Son
JGJörg Gsponer
Jörg Gsponer
Communalities between large sets of genes obtained from high-throughput experiments are often identified by searching for enrichments of genes with the same Gene Ontology (GO) annotations. The GO analysis tools used for these enrichment analyses assume that GO terms are independent and the semantic distances between all parent-child terms are identical, which is not true in a biological sense. In addition these tools output lists of often redundant or too specific GO terms, which are difficult to interpret in the context of the biological question investigated by the user. Therefore, there is a demand for a robust and reliable method for gene categorization and enrichment analysis.