Won Hwa Kim

514 citations

33 papers · 255 indexed · h-index 10

Cognitive Neuroscience
- Functional Brain Connectivity Studies 11
Radiology, Nuclear Medicine and Imaging
- Advanced Neuroimaging Techniques and Applications 13
Computer Vision and Pattern Recognition top 10%
- Medical Image Segmentation Techniques 6
- Face recognition and analysis 3
- Face and Expression Recognition 3
Psychiatry and Mental health
- Dementia and Cognitive Impairment Research 3
Biological Psychiatry
Geometry and Topology
- Morphological variations and asymmetry 3
Computational Theory and Mathematics
- Topological and Geometric Data Analysis 2

Co-authors: Vikas Singh Moo K. Chung Sterling C. Johnson Nagesh Adluru Barbara B. Bendlin Ozioma C. Okonkwo Charles R. Hatt Jang‐Hee Yoo
Cited by: Cognitive Neuroscience Radiology, Nuclear Medicine and Imaging Computer Vision and Pattern Recognition
Journals: SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)NeuroImage (2 papers)
Partner nations: United States South Korea Sweden

In The Last Decade

Won Hwa Kim

30 papers receiving 252 citations

Peers

Countries citing papers authored by Won Hwa Kim

Since Specialization

Citations

This map shows the geographic impact of Won Hwa Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Won Hwa Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Hwa Kim more than expected).

Fields of papers citing papers by Won Hwa Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Hwa Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Won Hwa Kim. The network helps show where Won Hwa Kim may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Won Hwa Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won Hwa Kim Line = papers co-authored together Won Hwa Kim links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Dietary patterns associated with the new onset of chronic kidney disease using clustering algorithm Scientific Reports ·Dougho Park,Jinmi Kim,Da Woon Kim,Dong-Hyun Lee,Tae‐Yeon Kim,Dae Lim Koo,Youjin Lee,Won Hwa Kim,Hyo Jin Kim	2025	1
2	Learning to Approximate Adaptive Kernel Convolution on Graphs Proceedings of the AAAI Conference on Artificial Intelligence ·Jaeyoon Sim,Sooyeon Jeon,InJun Choi,Guorong Wu,Won Hwa Kim	2024	1
3	Style-KD: Class-imbalanced medical image classification via style knowledge distillation Biomedical Signal Processing and Control ·Inhyuk Park,Won Hwa Kim,Jongbin Ryu	2024	6
4	TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations Medical Image Analysis ·Tingting Dan,Mustafa Dere,Won Hwa Kim,Minjeong Kim,Guorong Wu	2024	0
5	Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation Hyuna Cho,Injun Choi,Suha Kwak,Won Hwa Kim	2024	2
6	Devil's on the Edges: Selective Quad Attention for Scene Graph Generation Deunsol Jung,Sanghyun Kim,Won Hwa Kim,Minsu Cho	2023	23
7	BrainNET: Inference of Brain Network Topology Using Machine Learning Brain Connectivity ·Gowtham Krishnan Murugesan,Chandan Ganesh,Sahil Nalawade,Elizabeth M. Davenport,Ben Wagner,Won Hwa Kim,Joseph A. Maldjian	2020	6
8	Classification of the urinary metabolome using machine learning and potential applications to diagnosing interstitial cystitis PubMed ·Feng Tong,Muhammad Shahid,Jin Peng,Sungyong Jung,Won Hwa Kim,Jayoung Kim	2020	10
9	Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding PubMed ·Xin Ma,Guorong Wu,Won Hwa Kim	2020	1
10	Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease Brain Connectivity ·Seong Jae Hwang,Nagesh Adluru,Won Hwa Kim,Sterling C. Johnson,Barbara B. Bendlin,Vikas Singh	2018	9
11	Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis NeuroImage Clinical ·Won Hwa Kim,Annie M. Racine,Nagesh Adluru,Seong Jae Hwang,Kaj Blennow,Henrik Zetterberg,Cynthia M. Carlsson,Sanjay Asthana,Rebecca L. Koscik,Sterling C. Johnson,Barbara B. Bendlin,Vikas Singh	2018	21
12	Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer’s disease in late-middle-aged adults Brain Imaging and Behavior ·Annie M. Racine,Andrew P. Merluzzi,Nagesh Adluru,Derek Norton,Rebecca L. Koscik,Lindsay R. Clark,Sara E. Berman,Christopher R. Nicholas,Sanjay Asthana,Andrew L. Alexander,Kaj Blennow,Henrik Zetterberg,Won Hwa Kim,Vikas Singh,Cynthia M. Carlsson,Barbara B. Bendlin,Sterling C. Johnson	2017	29
13	Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging Lecture notes in computer science ·Won Hwa Kim,Seong Jae Hwang,Nagesh Adluru,Sterling C. Johnson,Vikas Singh	2016	2
14	Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) PubMed ·Won Hwa Kim,Hyunwoo J. Kim,Nagesh Adluru,Vikas Singh	2016	2
15	Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease NeuroImage ·Won Hwa Kim,Nagesh Adluru,Moo K. Chung,Ozioma C. Okonkwo,Sterling C. Johnson,Barbara B. Bendlin,Vikas Singh	2015	32
16	Statistical inference models for image datasets with systematic variations PubMed ·Won Hwa Kim,Barbara B. Bendlin,Moo K. Chung,Sterling C. Johnson,Vikas Singh	2015	2
17	Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness NeuroImage ·Won Hwa Kim,Vikas Singh,Moo K. Chung,Chris Hinrichs,Deepti Pachauri,Ozioma C. Okonkwo,Sterling C. Johnson	2014	20
18	Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space Lecture notes in computer science ·Won Hwa Kim,Nagesh Adluru,Moo K. Chung,Sylvia Charchut,Johnson GadElkarim,Lori L. Altshuler,Teena D. Moody,Anand Kumar,Vikas Singh,Alex Leow	2013	12
19	Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems PubMed ·Won Hwa Kim,Moo K. Chung,Vikas Singh	2013	14
20	Evaluation of a synthetic aperture technique for medical ultrasound imaging: Phantom and in vivo breast study Choye Kim,Changhan Yoon,Won Hwa Kim,Jung Min Chang,Tai-Kyung Song,Yangmo Yoo	2012	1

About Won Hwa Kim

Won Hwa Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 33 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Functional Brain Connectivity Studies (11 papers), Medical Image Segmentation Techniques (6 papers), Face recognition and analysis (3 papers), Morphological variations and asymmetry (3 papers), Face and Expression Recognition (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Cognitive Neuroscience (81 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Computer Vision and Pattern Recognition (70 citations). Won Hwa Kim has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Vikas Singh, Moo K. Chung, Sterling C. Johnson, Nagesh Adluru, Barbara B. Bendlin, Ozioma C. Okonkwo, Charles R. Hatt, Jang‐Hee Yoo, Seong Jae Hwang and Kaj Blennow. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

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