Kwang Hee Ko
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Geology top 5%
- Mechanical Engineering
- Co-authors
- Takashi MaekawaNicholas M. PatrikalakisHyo‐Sung AhnTakis SakkalisKangwook KimSunghan KimBenedict Tiong Chee TayJong Gye Shin
- Topics
- Robotics and Sensor-Based Localization (18 papers)Advanced Numerical Analysis Techniques (16 papers)Laser and Thermal Forming Techniques (14 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Kwang Hee Ko
80 papers receiving 761 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 231
- Computational Mechanics 225
- Aerospace Engineering 163
- Geology 147
- Mechanical Engineering 146
Countries citing papers authored by Kwang Hee Ko
This map shows the geographic impact of Kwang Hee Ko'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 Kwang Hee Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang Hee Ko more than expected).
Fields of papers citing papers by Kwang Hee Ko
This network shows the impact of papers produced by Kwang Hee Ko. 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 Kwang Hee Ko. The network helps show where Kwang Hee Ko may publish in the future.
Co-authorship network of co-authors of Kwang Hee Ko
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang Hee Ko. A scholar is included among the top collaborators of Kwang Hee Ko 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 Kwang Hee Ko. Kwang Hee Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | Development of Augmented Reality Based Method for Pre-Outfitting of Blocks in Ship Fabrication | 1 |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | Multi-feature based landmine identification using ground penetrating radar | 3 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 8 |
About Kwang Hee Ko
Kwang Hee Ko is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computational Mechanics, having authored 87 papers that have together received 829 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Advanced Numerical Analysis Techniques (16 papers) and Laser and Thermal Forming Techniques (14 papers). The work is most often cited by research in Geology (147 citations), Computer Graphics and Computer-Aided Design (60 citations) and Computer Vision and Pattern Recognition (231 citations). Kwang Hee Ko has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Takashi Maekawa, Nicholas M. Patrikalakis, Hyo‐Sung Ahn, Takis Sakkalis, Kangwook Kim, Sunghan Kim, Benedict Tiong Chee Tay, Jong Gye Shin, Kyung-Mi Park and Jong-Ho Nam. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Computers in Human Behavior and IEEE Access.
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.