Minseon Kim
- Electrical and Electronic Engineering
- Materials Chemistry
- Automotive Engineering top 10%
- Mechanical Engineering
- Molecular Biology
- Co-authors
- Kyoungmin MinKwangjin ParkJaegyoon AhnWoon‐Hong YeoTaesic KimJunghwan ParkJoung‐Hu ParkJonghee Yang
- Topics
- Machine Learning in Materials Science (11 papers)Advancements in Battery Materials (7 papers)Advanced Battery Technologies Research (4 papers)
- Partner nations
- South KoreaUnited StatesBelgium
In The Last Decade
Minseon Kim
30 papers receiving 297 citations
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 166
- Materials Chemistry 128
- Automotive Engineering 89
- Mechanical Engineering 34
- Molecular Biology 27
Countries citing papers authored by Minseon Kim
This map shows the geographic impact of Minseon 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 Minseon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minseon Kim more than expected).
Fields of papers citing papers by Minseon Kim
This network shows the impact of papers produced by Minseon 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 Minseon Kim. The network helps show where Minseon Kim may publish in the future.
Co-authorship network of co-authors of Minseon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Minseon Kim. A scholar is included among the top collaborators of Minseon 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 Minseon Kim. Minseon 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 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Entropy Weighted Adversarial Training | 2 |
| 17 | 25 | |
| 18 | 11 | |
| 19 | Progressive Face Super-Resolution via Attention to Facial Landmark. | 3 |
| 20 | The Role of AMPK in Vascular Endothelium | 1 |
About Minseon Kim
Minseon Kim is a scholar working on Metals and Alloys, Automotive Engineering and Materials Chemistry, having authored 35 papers that have together received 309 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Advancements in Battery Materials (7 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Automotive Engineering (89 citations), Electrical and Electronic Engineering (166 citations) and Materials Chemistry (128 citations). Minseon Kim has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Kyoungmin Min, Kwangjin Park, Jaegyoon Ahn, Woon‐Hong Yeo, Taesic Kim, Junghwan Park, Joung‐Hu Park, Jonghee Yang, Hochan Song and Hyosung Choi. Their work appears in journals such as Angewandte Chemie International Edition, Chemistry of Materials 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.