Yong‐Gi Kim
- Ocean Engineering top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Farman AliSyed Ahmad Chan BukhariKyung Sup KwakDukhyeon KimJi-Wook RyuSeong‐Gon KimSok Won KimJeong-Soon Lee
- Topics
- Maritime Navigation and Safety (16 papers)Robotic Path Planning Algorithms (11 papers)Underwater Vehicles and Communication Systems (10 papers)
- Partner nations
- South KoreaUnited StatesUkraine
In The Last Decade
Yong‐Gi Kim
50 papers receiving 675 citations
Peers
Comparison fields: 5 of 106
- Ocean Engineering 226
- Artificial Intelligence 210
- Mechanical Engineering 84
- Computer Vision and Pattern Recognition 84
- Information Systems 79
Countries citing papers authored by Yong‐Gi Kim
This map shows the geographic impact of Yong‐Gi 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 Yong‐Gi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Gi Kim more than expected).
Fields of papers citing papers by Yong‐Gi Kim
This network shows the impact of papers produced by Yong‐Gi 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 Yong‐Gi Kim. The network helps show where Yong‐Gi Kim may publish in the future.
Co-authorship network of co-authors of Yong‐Gi Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Gi Kim. A scholar is included among the top collaborators of Yong‐Gi 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 Yong‐Gi Kim. Yong‐Gi 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 | 10 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 131 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Laser-Induced Polymer Removal and Transmittance Enhancement of an Indium-Tin-Oxide (ITO) Film by Reduction of Surface Roughness | 4 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | High-level Autonomous Navigation Technique of AUV using Fuzzy Relational Products | 1 |
| 19 | 2 | |
| 20 | 2 |
About Yong‐Gi Kim
Yong‐Gi Kim is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 56 papers that have together received 715 indexed citations. Recurring topics across this work include Maritime Navigation and Safety (16 papers), Robotic Path Planning Algorithms (11 papers) and Underwater Vehicles and Communication Systems (10 papers). The work is most often cited by research in Ocean Engineering (226 citations), Artificial Intelligence (210 citations) and Industrial and Manufacturing Engineering (52 citations). Yong‐Gi Kim has collaborated with scholars based in South Korea, United States and Ukraine. Frequent co-authors include Farman Ali, Syed Ahmad Chan Bukhari, Kyung Sup Kwak, Dukhyeon Kim, Ji-Wook Ryu, Seong‐Gon Kim, Sok Won Kim, Jeong-Soon Lee, Hai Du Cheong and И. Л. Андронов. Their work appears in journals such as The Astrophysical Journal, Nano Energy and Expert Systems with Applications.
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.