MinWoo Kim

603 total citations
32 papers, 387 citations indexed

About

MinWoo Kim is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Dermatology. According to data from OpenAlex, MinWoo Kim has authored 32 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 17 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Dermatology. Recurrent topics in MinWoo Kim's work include Photoacoustic and Ultrasonic Imaging (10 papers), Advanced X-ray and CT Imaging (7 papers) and Ultrasound Imaging and Elastography (6 papers). MinWoo Kim is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (10 papers), Advanced X-ray and CT Imaging (7 papers) and Ultrasound Imaging and Elastography (6 papers). MinWoo Kim collaborates with scholars based in South Korea, United States and Taiwan. MinWoo Kim's co-authors include Matthew O’Donnell, Ivan Pelivanov, Geng-Shi Jeng, Michael F. Insana, Jamila Hedhli, Lawrence W. Dobrucki, David S. Li, Soon Joon Yoon, Chankue Park and Craig K. Abbey and has published in prestigious journals such as Nature Communications, IEEE Transactions on Medical Imaging and Psychiatry Research.

In The Last Decade

MinWoo Kim

28 papers receiving 377 citations

Peers

Countries citing papers authored by MinWoo Kim

Since Specialization

Citations

This map shows the geographic impact of MinWoo 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 MinWoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MinWoo Kim more than expected).

Fields of papers citing papers by MinWoo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MinWoo 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 MinWoo Kim. The network helps show where MinWoo Kim may publish in the future.

Co-authorship network of co-authors of MinWoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of MinWoo Kim. A scholar is included among the top collaborators of MinWoo Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with MinWoo Kim. MinWoo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deep learning-based artifact reduction: Radiologist and AI classifier evaluation of dual-energy CT image quality in femoral bone marrow edema 2025 ·(unknown), (unknown), Majid Chalian, MinWoo Kim, Chankue Park	0
2	Facing the challenges of peripheral arterial disease in the era of emerging technologies 2024 ·Jamila Hedhli, John A. Cole, (unknown), MinWoo Kim, Iwona T. Dobrucki, Michael F. Insana, Juan José Jiménez, James Kumar, Lawrence W. Dobrucki	1
3	W-DRAG: A joint framework of WGAN with data random augmentation optimized for generative networks for bone marrow edema detection in dual energy CT 2024 ·Computerized Medical Imaging and Graphics ·Chun‐Su Park, (unknown), (unknown), (unknown), Sangmin Lee, Chankue Park, MinWoo Kim	0
4	Prediction of bone mineral density in CT using deep learning with explainability 2023 ·Frontiers in Physiology ·(unknown), Chun‐Su Park, Donggeon Lee, (unknown), MinWoo Kim	21
5	Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT 2022 ·Korean Journal of Radiology ·(unknown), MinWoo Kim, Jae‐Yeon Hwang, Yong-Woo Kim, Chankue Park, Ki Seok Choo, Tae Un Kim, (unknown)	15
6	Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists 2022 ·European Journal of Radiology ·(unknown), (unknown), MinWoo Kim, (unknown), (unknown), (unknown), Sang‐Min Lee, Hee Seok Jeong, (unknown), (unknown)	6
7	A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS 2022 ·Journal of Neural Engineering ·MinWoo Kim, Seon‐Jin Lee, Ippeita Dan, Sungho Tak	13
8	Deep Learning Approaches for Bone Marrow Edema Detection and Interpretation in Dual-Energy CT 2022 ·SSRN Electronic Journal ·Chun‐Su Park, (unknown), (unknown), (unknown), (unknown), Chankue Park, MinWoo Kim	2
9	Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI 2022 ·Investigative Radiology ·MinWoo Kim, Sangmin Lee, Chankue Park, (unknown), Kang Soo Kim, Hee Seok Jeong, (unknown), (unknown), Dominik Nickel	36
10	Real-time interleaved spectroscopic photoacoustic and ultrasound (PAUS) scanning with simultaneous fluence compensation and motion correction 2021 ·Nature Communications ·Geng-Shi Jeng, (unknown), MinWoo Kim, Soon Joon Yoon, (unknown), David S. Li, Ivan Pelivanov, Matthew O’Donnell	59
11	Experimental Validation of Perfusion Imaging With HOSVD Clutter Filters 2020 ·IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control ·(unknown), MinWoo Kim, (unknown), Michael F. Insana	4
12	Deep-Learning Image Reconstruction for Real-Time Photoacoustic System 2020 ·IEEE Transactions on Medical Imaging ·MinWoo Kim, Geng-Shi Jeng, Ivan Pelivanov, Matthew O’Donnell	88
13	Correction of wavelength-dependent laser fluence in swept-beam spectroscopic photoacoustic imaging with a hand-held probe 2020 ·Photoacoustics ·MinWoo Kim, Geng-Shi Jeng, Matthew O’Donnell, Ivan Pelivanov	23
14	Spatially Localized Sono-Photoacoustic Activation of Phase-Change Contrast Agents 2020 ·Photoacoustics ·David S. Li, Geng-Shi Jeng, (unknown), MinWoo Kim, Lilo D. Pozzo, Matthew O’Donnell	7
15	Ageism between Medical and Preliminary Medical Persons in Korea 2020 ·Annals of Geriatric Medicine and Research ·Jiyeon Lee, (unknown), Hyun Hee Cho, MinWoo Kim, (unknown)	16
16	Inflexible eye fixation pattern in schizophrenia affecting decision-making on daily life 2019 ·Psychiatry Research ·Soo‐Jeong Kim, (unknown), MinWoo Kim, (unknown), (unknown), Jae‐Jin Kim	1
17	Advances in Pulsed Doppler Methods for Peripheral Perfusion Imaging 2019 ·Michael F. Insana, (unknown), MinWoo Kim, Lawrence W. Dobrucki	1
18	A Case of Terra Firma-Forme Dermatosis: Differentiation from Other Dirty-Appearing Diseases 2016 ·Annals of Dermatology ·Jungyoon Moon, MinWoo Kim, Hyun‐Sun Yoon, Soyun Cho, Hyunsun Park	3
19	Efficiency of U.S. Tissue Perfusion Estimators 2016 ·IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control ·MinWoo Kim, Craig K. Abbey, Michael F. Insana	3
20	A Novel Approach for Full-Thickness Defect of the Nasal Alar Rim: Primary Closure of the Defect and Reduction of the Contralateral Normal Ala for Symmetry 2015 ·Annals of Dermatology ·(unknown), MinWoo Kim, Seong Jin Jo	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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