Sekeun Kim
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Co-authors
- Hyuk‐Jae ChangYeonyee E. YoonQuanzheng LiZhengliang LiuXiang LiAoxiao ZhongCheng ChenTianming Liu
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Cardiac Valve Diseases and Treatments (3 papers)Cardiovascular Function and Risk Factors (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United StatesSouth KoreaHong Kong
In The Last Decade
Sekeun Kim
11 papers receiving 171 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 67
- Cardiology and Cardiovascular Medicine 43
- Computer Vision and Pattern Recognition 43
- Artificial Intelligence 32
- Pulmonary and Respiratory Medicine 29
Countries citing papers authored by Sekeun Kim
This map shows the geographic impact of Sekeun 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 Sekeun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sekeun Kim more than expected).
Fields of papers citing papers by Sekeun Kim
This network shows the impact of papers produced by Sekeun 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 Sekeun Kim. The network helps show where Sekeun Kim may publish in the future.
Co-authorship network of co-authors of Sekeun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sekeun Kim. A scholar is included among the top collaborators of Sekeun 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 Sekeun Kim. Sekeun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentationbreakdown → | 71 |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 21 | |
| 9 | 28 | |
| 10 | A Cascaded Two-step Approach For Segmentation of Thoracic Organs. | 5 |
| 11 | 26 |
About Sekeun Kim
Sekeun Kim is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 172 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (67 citations) and Computer Vision and Pattern Recognition (43 citations). Sekeun Kim has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include Hyuk‐Jae Chang, Yeonyee E. Yoon, Quanzheng Li, Zhengliang Liu, Xiang Li, Aoxiao Zhong, Cheng Chen, Tianming Liu, Pheng‐Ann Heng and Dufan Wu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.
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.