Seung Wan Kim
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Renewable Energy, Sustainability and the Environment
- Computer Vision and Pattern Recognition
- Co-authors
- Yong Tae YoonYoung Gyu JinSuk‐Ho KangNam Wook ChoMina HurHanah KimHee‐Won MoonYeo‐Min Yun
- Topics
- Smart Grid Energy Management (17 papers)Optimal Power Flow Distribution (12 papers)Electric Power System Optimization (10 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsJournal of Power Sources
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Seung Wan Kim
60 papers receiving 476 citations
Peers
Comparison fields: 5 of 96
- Electrical and Electronic Engineering 238
- Control and Systems Engineering 101
- Artificial Intelligence 78
- Renewable Energy, Sustainability and the Environment 50
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Seung Wan Kim
This map shows the geographic impact of Seung Wan 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 Seung Wan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung Wan Kim more than expected).
Fields of papers citing papers by Seung Wan Kim
This network shows the impact of papers produced by Seung Wan 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 Seung Wan Kim. The network helps show where Seung Wan Kim may publish in the future.
Co-authorship network of co-authors of Seung Wan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seung Wan Kim. A scholar is included among the top collaborators of Seung Wan 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 Seung Wan Kim. Seung Wan 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 46 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | Evaluation on Natural Background of the Soil Heavy Metals in Korea | 33 |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Seung Wan Kim
Seung Wan Kim is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 65 papers that have together received 494 indexed citations. Recurring topics across this work include Smart Grid Energy Management (17 papers), Optimal Power Flow Distribution (12 papers) and Electric Power System Optimization (10 papers). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Control and Systems Engineering (101 citations) and Electrical and Electronic Engineering (238 citations). Seung Wan Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Yong Tae Yoon, Young Gyu Jin, Suk‐Ho Kang, Nam Wook Cho, Mina Hur, Hanah Kim, Hee‐Won Moon, Yeo‐Min Yun, Bokyoung Kang and Hyun Joong Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Power Sources.
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.