Sangyeob Kim
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Hardware and Architecture top 5%
- Co-authors
- Hoi‐Jun YooSanghoon KangJinmook LeeChanghyeon KimDongjoo ShinJuhyoung LeeSangjin KimYonghwan Kim
- Topics
- Advanced Memory and Neural Computing (31 papers)Ferroelectric and Negative Capacitance Devices (22 papers)Fluid Dynamics Simulations and Interactions (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaConstruction and Building MaterialsMarine Pollution Bulletin
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Sangyeob Kim
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 671
- Computer Vision and Pattern Recognition 460
- Artificial Intelligence 284
- Computational Mechanics 168
- Hardware and Architecture 127
Countries citing papers authored by Sangyeob Kim
This map shows the geographic impact of Sangyeob 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 Sangyeob Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangyeob Kim more than expected).
Fields of papers citing papers by Sangyeob Kim
This network shows the impact of papers produced by Sangyeob 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 Sangyeob Kim. The network helps show where Sangyeob Kim may publish in the future.
Co-authorship network of co-authors of Sangyeob Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sangyeob Kim. A scholar is included among the top collaborators of Sangyeob 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 Sangyeob Kim. Sangyeob 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 34 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 35 | |
| 14 | 59 | |
| 15 | 23 | |
| 16 | 232 | |
| 17 | 3 | |
| 18 | Experimental Study of Slosh-Induced Loads on LNG Fuel Tank of Container Ship | 3 |
| 19 | Experimental Studies on Sloshing in a STX Independence Type-B Tank | 6 |
| 20 | Model-Scale Sloshing Tests for an Anti-Sloshing Blanket System | 10 |
About Sangyeob Kim
Sangyeob Kim is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Ferroelectric and Negative Capacitance Devices (22 papers) and Fluid Dynamics Simulations and Interactions (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (460 citations), Hardware and Architecture (127 citations) and Computational Mathematics (10 citations). Sangyeob Kim has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Hoi‐Jun Yoo, Sanghoon Kang, Jinmook Lee, Changhyeon Kim, Dongjoo Shin, Juhyoung Lee, Sangjin Kim, Yonghwan Kim, Donghyeon Han and Soyeon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Marine Pollution Bulletin.
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.