Sang‐Keun Woo

972 citations
65 papers · 763 indexed · h-index 15
Topics
Medical Imaging Techniques and Applications (31 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)Radiopharmaceutical Chemistry and Applications (16 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEStroke

In The Last Decade

Sang‐Keun Woo

60 papers receiving 752 citations

Peers

Sang‐Keun Woo
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 422
  • Pulmonary and Respiratory Medicine 197
  • Molecular Biology 138
  • Oncology 136
  • Biomedical Engineering 74
Replace Feng‐Ming Hsu with:
Feng‐Ming Hsu Taiwan
Florian Auer Germany
Christian Filß Germany
Lei Hu China
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Hyebin Lee South Korea
Sang‐Keun Woo relative to Feng‐Ming Hsu Taiwan Feng‐Ming Hsu's profile →
Citations per field
00.5×2.5×
Feng‐Ming Hsu · 1×
Citations per year

Countries citing papers authored by Sang‐Keun Woo

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Keun Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Keun Woo. 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 Sang‐Keun Woo. The network helps show where Sang‐Keun Woo may publish in the future.

Co-authorship network of co-authors of Sang‐Keun Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Keun Woo. A scholar is included among the top collaborators of Sang‐Keun Woo 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 Sang‐Keun Woo. Sang‐Keun Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 5
5 5
6 8
7 4
8 10
9 8
10 65
11 0
12 31
13 6
14 2
15 2
16 14
17 5
18 41
19
Image-Based Assessment and Clinical Significance of Absorbed Radiation Dose to Tumor in Repeated High-Dose 131 I Anti-CD20 Monoclonal Antibody (Rituximab) Radioimmunotherapy for Non-Hodgkin's Lymphoma
1
20
Quantitative Comparisons between CT and $^{68}Ge$ Transmission Attenuation Corrected $^{18}F-FDG$ PET Images: Measured Attenuation Correction vs. Segmented Attenuation Correction
2

About Sang‐Keun Woo

Sang‐Keun Woo is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 763 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Radiopharmaceutical Chemistry and Applications (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (422 citations), Neurology (71 citations) and Health Informatics (9 citations). Sang‐Keun Woo has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang Moo Lim, Ilhan Lim, Wook Kim, Byung Hyun Byun, Joo Hyun Kang, Chang Woon Choi, Tae Sup Lee, Chang‐Bae Kong, Kyeong Min Kim and Kwang Il Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

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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