Leonard Sunwoo

1.9k total citations · 1 hit paper
72 papers, 1.2k citations indexed

About

Leonard Sunwoo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Leonard Sunwoo has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Pulmonary and Respiratory Medicine and 22 papers in Epidemiology. Recurrent topics in Leonard Sunwoo's work include Acute Ischemic Stroke Management (21 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Leonard Sunwoo is often cited by papers focused on Acute Ischemic Stroke Management (21 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Leonard Sunwoo collaborates with scholars based in South Korea, United States and United Kingdom. Leonard Sunwoo's co-authors include Jong Chul Ye, Yoseob Han, Jae Hyoung Kim, Byung Se Choi, Yun Jung Bae, Se Jin Cho, Cheolkyu Jung, Sung Hyun Baik, Kyong Joon Lee and Roh‐Eul Yoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Leonard Sunwoo

65 papers receiving 1.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

${k}$ -Space Deep Learning for Accelerated MRI

2019 219 citations Leonard Sunwoo et al. profile →

Peers

Countries citing papers authored by Leonard Sunwoo

Since Specialization

Citations

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

Fields of papers citing papers by Leonard Sunwoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Sunwoo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Sunwoo. A scholar is included among the top collaborators of Leonard Sunwoo 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 Leonard Sunwoo. Leonard Sunwoo 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	Segmentation of the Hyperdense Artery Sign on Noncontrast CT in Ischemic Stroke Using Artificial Intelligence 2025 ·Journal of Clinical Neurology ·(unknown), (unknown), (unknown), (unknown), Wi‐Sun Ryu, Leonard Sunwoo, Beom Joon Kim	0
2	A multicenter validation and calibration of automated software package for detecting anterior circulation large vessel occlusion on CT angiography 2025 ·BMC Neurology ·Kyu Sun Yum, Jong‐Won Chung, (unknown), Kwang‐Yeol Park, Dong‐Ick Shin, Hong‐Kyun Park, Yong‐Jin Cho, Keun‐Sik Hong, Jae Guk Kim, Soo Joo Lee, Joon‐Tae Kim, Woo‐Keun Seo, Oh Young Bang, Gyeong‐Moon Kim, Myung-Jae Lee, Dongmin Kim, Leonard Sunwoo, Hee‐Joon Bae, Wi‐Sun Ryu, Beom Joon Kim	0
3	Automated Prediction of Proximal Middle Cerebral Artery Occlusions in Noncontrast Brain Computed Tomography 2024 ·Stroke ·(unknown), (unknown), Dongmin Kim, Leonard Sunwoo, Chi Kyung Kim, Beom Joon Kim, Joon‐Tae Kim, Wi‐Sun Ryu, (unknown)	6
4	Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study 2024 ·JMIR Medical Informatics ·(unknown), (unknown), (unknown), Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, (unknown), (unknown), (unknown), Keehyuck Lee, Sooyoung Yoo	5
5	Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study 2024 ·American Journal of Neuroradiology ·(unknown), Dongjun Choi, Leonard Sunwoo, (unknown), Sung Hyun Baik, Se Jin Cho, Jinhee Jang, Tackeun Kim, Kyong Joon Lee	1
6	Prediction of treatment response after stereotactic radiosurgery of brain metastasis using deep learning and radiomics on longitudinal MRI data 2024 ·Scientific Reports ·Se Jin Cho, (unknown), (unknown), (unknown), So Yeong Jeong, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Jae Hyoung Kim, Sooyoung Yoo, Jung Ho Han, Chae‐Yong Kim, Jaegul Choo, Leonard Sunwoo	3
7	Automated identification of thrombectomy amenable vessel occlusion on computed tomography angiography using deep learning 2024 ·Frontiers in Neurology ·Jung Hoon Han, (unknown), Hoyeon Lee, (unknown), (unknown), Dongmin Kim, Jae Guk Kim, Joon‐Tae Kim, Leonard Sunwoo, Chi Kyung Kim, Wi‐Sun Ryu	5
8	A Nationwide Web-Based Survey of Neuroradiologists’ Perceptions of Artificial Intelligence Software for Neuro-Applications in Korea 2023 ·Korean Journal of Radiology ·(unknown), Leonard Sunwoo, Se Jin Cho, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim	10
9	Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning 2023 ·Computerized Medical Imaging and Graphics ·(unknown), Tackeun Kim, Jinhee Jang, Leonard Sunwoo, Kyong Joon Lee	2
10	Long-term outcomes and quantitative radiologic analysis of extracranial–intracranial bypass for hemodynamically compromised chronic large artery occlusive disease 2023 ·Scientific Reports ·(unknown), Si Un Lee, Han‐Gil Jeong, Youngdeok Kim, Tackeun Kim, Leonard Sunwoo, Seung Pil Ban, Jae Seung Bang, O-Ki Kwon, Chang Wan Oh	2
11	Application of symmetry evaluation to deep learning algorithm in detection of mastoiditis on mastoid radiographs 2023 ·Scientific Reports ·Dongjun Choi, Leonard Sunwoo, Sung‐Hye You, Kyong Joon Lee, Inseon Ryoo	2
12	Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07) 2020 ·International Journal of Radiation OncologyBiologyPhysics ·Bum‐Sup Jang, (unknown), Seung Hyuck Jeon, (unknown), D.H. Lim, (unknown), (unknown), (unknown), (unknown), (unknown), Leonard Sunwoo, (unknown), (unknown)	1
13	MRI-Based Assessment of the Pharyngeal Constrictor Muscle as a Predictor of Surgical Margin after Transoral Robotic Surgery in HPV-Positive Tonsillar Cancer 2020 ·American Journal of Neuroradiology ·(unknown), Woo‐Jin Jeong, Yun Jung Bae, Hyojin Kim, Byung Se Choi, Young Ho Jung, Sung Hyun Baik, Leonard Sunwoo, Jae Hyoung Kim	5
14	Diagnostic assessment of magnetic resonance imaging for patients with intralabyrinthine schwannoma: A systematic review 2020 ·Journal of Neuroradiology ·Se Jin Cho, Byung Se Choi, Yun Jung Bae, Jae‐Jin Song, Ja‐Won Koo, Ji‐Soo Kim, Sung Hyun Baik, Leonard Sunwoo, Jae Hyoung Kim	1
15	Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms 2019 ·Korean Journal of Radiology ·(unknown), (unknown), Seung Chai Jung, Hyunna Lee, Namkug Kim, Se Jin Cho, Donghyun Kim, Jung Bin Lee, Leonard Sunwoo, Dong‐Wha Kang	40
16	Procedural and clinical outcomes of endovascular recanalization therapy in patients with cancer-related stroke 2018 ·Interventional Neuroradiology ·Seunguk Jung, Cheolkyu Jung, Jae Hyoung Kim, Byung Se Choi, Yun Jung Bae, Leonard Sunwoo, Ho Geol Woo, Jun Young Chang, Beom Joon Kim, Moon‐Ku Han, Hee‐Joon Bae	37
17	Feasibility of Permanent Stenting with Solitaire FR as a Rescue Treatment for the Reperfusion of Acute Intracranial Artery Occlusion 2017 ·American Journal of Neuroradiology ·Ho Geol Woo, Leonard Sunwoo, Cheolkyu Jung, Beom Joon Kim, Moon‐Ku Han, Hee‐Joon Bae, Yun Jung Bae, Byung Se Choi, Jae Hyoung Kim	26
18	Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study 2017 ·PLoS ONE ·Leonard Sunwoo, Young Jae Kim, (unknown), Kwang Gi Kim, Ji Hee Kang, Yeonah Kang, Yun‐Jung Bae, Roh‐Eul Yoo, Jihang Kim, Kyong Joon Lee, Seung-Hyun Lee, Byung Se Choi, (unknown), Chul‐Ho Sohn, Jae Hyoung Kim	40
19	Differentiation of Glioblastoma from Brain Metastasis: Qualitative and Quantitative Analysis Using Arterial Spin Labeling MR Imaging 2016 ·PLoS ONE ·Leonard Sunwoo, Tae Jin Yun, Sung‐Hye You, Roh‐Eul Yoo, Koung Mi Kang, Seung Hong Choi, Ji‐hoon Kim, Chul‐Ho Sohn, Sun‐Won Park, (unknown), Chul‐Kee Park	56
20	Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging 2015 ·Neuroradiology ·Leonard Sunwoo, Seung Hong Choi, Roh‐Eul Yoo, Koung Mi Kang, Tae Jin Yun, Tae Min Kim, Se‐Hoon Lee, Chul‐Kee Park, Ji‐hoon Kim, Sun‐Won Park, Chul‐Ho Sohn, Jae‐Kyung Won, Sung‐Hye Park, Il Han Kim	10

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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