Publication archive

Methods, findings,
and the work behind them.

A chronological collection of peer-reviewed journal articles. Search by title, author, or venue, and narrow the list by year or research direction.

13 published journal articles · 1 manuscript under review
† Co-first author · * Corresponding author

Download BibTeX

2025

Explainable multiplex graph propagation network with multimodal neuroimage integration for dementia subtype diagnosis

Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Dokyoon Kim, Yonghyun Nam, Bumhee Park, Narae Kim, Seulgi Lee, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Hyunjung Shin^*, Hyun Goo Woo^*

Neural Networks · 192 · 107971

Read paper

2025

BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers

Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Masaud Shah, Hyunjung Shin^*, Hyun Goo Woo^*

Artificial Intelligence in Medicine · 169 · 103241

Read paper

2025

NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network

Sunghong Park^†, Doyoon Kim^†, Ji-Hye Choi, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Hyunjung Shin^*, Hyun Goo Woo^*

Briefings in Bioinformatics · 26(4) · bbaf366

Read paper

2025

PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based explainable graph propagational network

Sunghong Park^†, Dong-gi Lee^†, Juhyeon Kim^†, Seung Ho Kim, Hyeon Jin Hwang, Hyunjung Shin^*, Hyun Goo Woo^*

Briefings in Bioinformatics · 26(3) · bbaf213

Read paper

2025

Prospective Domain Adaptation for Longitudinal Data

Sunghong Park, JeongHeun Yeon, Dong-gi Lee, Sang Joon Son, Hyun Goo Woo^*, Hyunjung Shin^*

Knowledge-Based Systems · 309 · 112879

Read paper

2024

Plasma protein-based identification of imaging-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network

Sunghong Park^†, Doyoon Kim^†, Heirim Lee, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Dokyoon Kim, Yonghyun Nam, Dong-gi Lee, Hyunjung Shin^*, Hyun Goo Woo^*

Computers in Biology and Medicine · 183 · 109303

Read paper

2024

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network

Sunghong Park, Chang Hyung Hong, Sang Joon Son, Hyun Woong Roh, Doyoon Kim, Hyunjung Shin^*, Hyun Goo Woo^*

Briefings in Bioinformatics · 25(5) · bbae428

Read paper

2024

In-house data adaptation to public data: multisite MRI harmonization to predict Alzheimer’s disease conversion

Sunghong Park, Sang Joon Son, Kanghee Park, Yonghyun Nam, Hyunjung Shin^*

Expert Systems with Applications · 238 · 122253

Read paper

2024

Network based Enterprise Profiling with Semi-Supervised Learning

Sunghong Park^†, Kanghee Park^†, Hyunjung Shin^*

Expert Systems with Applications · 238 · 121716

Read paper

2024

Mutual Domain Adaptation

Sunghong Park, Myung Jun Kim, Kanghee Park, Hyunjung Shin^*

Pattern Recognition · 145 · 109919

Read paper

2023

Prospective classification of Alzheimer’s disease conversion from mild cognitive impairment

Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, Hyunjung Shin^*

Neural Networks · 164 · 335–344

Read paper

2021

Customer sentiment analysis with more sensibility

Sunghong Park, Junhee Cho, Kanghee Park, Hyunjung Shin^*

Engineering Applications of Artificial Intelligence · 104 · 104356

Read paper

2017

Network Mirroring for Drug Repositioning

Sunghong Park, Dong-gi Lee, Hyunjung Shin^*

BMC Medical Informatics and Decision Making · 17 · 55

Read paper

Separate from published work

Manuscripts under review

Submitted / under review

MultiGENN: multiplex graph ensemble neural network for plasma proteomic profiling of neurodegenerative biomarkers

Sunghong Park^†, Masaud Shah^†, JeongHeun Yeon, Ji-Hye Choi, Muhammad Hussain, Hyunjung Shin^*, Hyun Goo Woo^*

Submitted to IEEE Journal of Biomedical and Health Informatics

Status carried over from the public website; not counted as a published article. Status inherited from the public website reviewed 2026-10-22.

Research directions are editorial tags. Publication status is not updated automatically. The downloadable bibliography excludes work under review.

Methods, findings,
and the work behind them.

No matching records

Explainable multiplex graph propagation network with multimodal neuroimage integration for dementia subtype diagnosis

BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers

NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network

PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based explainable graph propagational network

Prospective Domain Adaptation for Longitudinal Data

Plasma protein-based identification of imaging-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network

In-house data adaptation to public data: multisite MRI harmonization to predict Alzheimer’s disease conversion

Network based Enterprise Profiling with Semi-Supervised Learning

Mutual Domain Adaptation

Prospective classification of Alzheimer’s disease conversion from mild cognitive impairment

Customer sentiment analysis with more sensibility

Network Mirroring for Drug Repositioning

Manuscripts under review

MultiGENN: multiplex graph ensemble neural network for plasma proteomic profiling of neurodegenerative biomarkers

Good research begins
with a connection.

Cite this work

Methods, findings,and the work behind them.

No matching records

Manuscripts under review

MultiGENN: multiplex graph ensemble neural network for plasma proteomic profiling of neurodegenerative biomarkers

Good research beginswith a connection.

Methods, findings,
and the work behind them.

Good research begins
with a connection.