Sung Hun Kim
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pathology and Forensic Medicine top 1%
- Cancer Research top 2%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Bong Joo KangByung Joo SongSeung Hee JeongHyeon Woo YimJae Jeong ChoiYeong Yi AnHyeon Sook KimAhwon Lee
- Topics
- MRI in cancer diagnosis (71 papers)Breast Lesions and Carcinomas (71 papers)Radiomics and Machine Learning in Medical Imaging (64 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoApplied Physics Letters
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Sung Hun Kim
242 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Radiology, Nuclear Medicine and Imaging 2.0k
- Pathology and Forensic Medicine 860
- Cancer Research 739
- Artificial Intelligence 724
- Pulmonary and Respiratory Medicine 562
Countries citing papers authored by Sung Hun Kim
This map shows the geographic impact of Sung Hun 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 Sung Hun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Hun Kim more than expected).
Fields of papers citing papers by Sung Hun Kim
This network shows the impact of papers produced by Sung Hun 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 Sung Hun Kim. The network helps show where Sung Hun Kim may publish in the future.
Co-authorship network of co-authors of Sung Hun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Hun Kim. A scholar is included among the top collaborators of Sung Hun 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 Sung Hun Kim. Sung Hun 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 | 0 | |
| 2 | 0 | |
| 3 | A Survey on Mixture of Experts in Large Language Modelsbreakdown → | 20 |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 85 | |
| 14 | 31 | |
| 15 | The Efficacy of Core Strengthening on the Trunk Balance in Patients with Subacute Stroke | 11 |
| 16 | New Algorithm of Determining the Floating and Sinking Pulse with a Pulse Diagnosis Instrument | 6 |
| 17 | Self-defending software: Automatically patching security vulnerabilities | 1 |
| 18 | EFFECT OF NUMBER OF IMPLANTS AND CANTILEVER DESIGN ON STRESS DISTRIBUTION IN THREE-UNIT FIXED PARTIAL DENTURES: A THREE-DIMENSIONAL FINITE ELEMENT ANALYSIS | 1 |
| 19 | 0 | |
| 20 | The Clinical Characteristics of Anemia in Type 2 Diabetic Patients Without Overt Nephropathy | 1 |
About Sung Hun Kim
Sung Hun Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 259 papers that have together received 4.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (71 papers), Breast Lesions and Carcinomas (71 papers) and Radiomics and Machine Learning in Medical Imaging (64 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Software (200 citations) and Cancer Research (739 citations). Sung Hun Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Bong Joo Kang, Byung Joo Song, Bong Joo Kang, Seung Hee Jeong, Hyeon Woo Yim, Jae Jeong Choi, Yeong Yi An, Hyeon Sook Kim, Ahwon Lee and Chang Suk Park. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.
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.