Seong Tae Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Yong Man RoDae Hoe KimHong Joo LeeNassir NavabHakmin LeeKun Chang LeeSeung Uk ChoiJung Min Chang
- Topics
- AI in cancer detection (11 papers)Face recognition and analysis (8 papers)Advanced Neural Network Applications (8 papers)
- Partner nations
- South KoreaGermanyUnited States
In The Last Decade
Seong Tae Kim
48 papers receiving 405 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 187
- Artificial Intelligence 177
- Radiology, Nuclear Medicine and Imaging 103
- Signal Processing 77
- Pulmonary and Respiratory Medicine 57
Countries citing papers authored by Seong Tae Kim
This map shows the geographic impact of Seong Tae 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 Seong Tae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong Tae Kim more than expected).
Fields of papers citing papers by Seong Tae Kim
This network shows the impact of papers produced by Seong Tae 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 Seong Tae Kim. The network helps show where Seong Tae Kim may publish in the future.
Co-authorship network of co-authors of Seong Tae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seong Tae Kim. A scholar is included among the top collaborators of Seong Tae 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 Seong Tae Kim. Seong Tae 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 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 18 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 10 |
About Seong Tae Kim
Seong Tae Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 54 papers that have together received 424 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Face recognition and analysis (8 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Signal Processing (77 citations) and Artificial Intelligence (177 citations). Seong Tae Kim has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Yong Man Ro, Dae Hoe Kim, Hong Joo Lee, Nassir Navab, Hakmin Lee, Kun Chang Lee, Seung Uk Choi, Jung Min Chang, Jung Uk Kim and Nhu Van Nguyen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.