Tae Keun Kim
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Atomic and Molecular Physics, and Optics
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- Joonki PaikChang Hee NamGae Hwang LeeSung‐Yool ChoiI Jong KimHamin ParkYong Soo LeeTomáš Mocek
- Topics
- Laser-Matter Interactions and Applications (4 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Image and Signal Denoising Methods (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionAtomic and Molecular Physics, and Optics
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Tae Keun Kim
23 papers receiving 610 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 331
- Media Technology 169
- Atomic and Molecular Physics, and Optics 160
- Materials Chemistry 84
- Biomedical Engineering 73
Countries citing papers authored by Tae Keun Kim
This map shows the geographic impact of Tae Keun 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 Tae Keun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Keun Kim more than expected).
Fields of papers citing papers by Tae Keun Kim
This network shows the impact of papers produced by Tae Keun 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 Tae Keun Kim. The network helps show where Tae Keun Kim may publish in the future.
Co-authorship network of co-authors of Tae Keun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae Keun Kim. A scholar is included among the top collaborators of Tae Keun 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 Tae Keun Kim. Tae Keun 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 | 6 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 63 | |
| 7 | 33 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | The Effect of LhGH on Hair Regeneration in C57BL/6CrN Mouse | 1 |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 17 | |
| 17 | 91 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 8 |
About Tae Keun Kim
Tae Keun Kim is a scholar working on Urology, Rehabilitation and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 654 indexed citations. Recurring topics across this work include Laser-Matter Interactions and Applications (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Media Technology (169 citations), Computer Vision and Pattern Recognition (331 citations) and Atomic and Molecular Physics, and Optics (160 citations). Tae Keun Kim has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Joonki Paik, Chang Hee Nam, Gae Hwang Lee, Sung‐Yool Choi, I Jong Kim, Hamin Park, Yong Soo Lee, Tomáš Mocek, Sung Woo Cho and Hong Seok Jang. Their work appears in journals such as Applied Physics Letters, Advanced Functional Materials and Scientific Reports.
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.