Jaemin Kim
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Naehyuck ChangDonkyu BaekJohn W. WoodsPhill‐Seung LeeRobert J. MarksHyuk LimYongsoon EunKyung‐Joon Park
- Topics
- Structural Health Monitoring Techniques (4 papers)Electric Vehicles and Infrastructure (3 papers)Face and Expression Recognition (3 papers)
- Partner nations
- South KoreaUnited StatesBelgium
In The Last Decade
Jaemin Kim
26 papers receiving 317 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 126
- Aerospace Engineering 69
- Electrical and Electronic Engineering 55
- Control and Systems Engineering 54
- Computer Networks and Communications 45
Countries citing papers authored by Jaemin Kim
This map shows the geographic impact of Jaemin 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 Jaemin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaemin Kim more than expected).
Fields of papers citing papers by Jaemin Kim
This network shows the impact of papers produced by Jaemin 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 Jaemin Kim. The network helps show where Jaemin Kim may publish in the future.
Co-authorship network of co-authors of Jaemin Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jaemin Kim. A scholar is included among the top collaborators of Jaemin 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 Jaemin Kim. Jaemin 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 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 61 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | In-situ Rock Stress Measurement at the Water Tunnel Sites in the OO Oil Storage Facility with Hydraulic Fracturing Method | 1 |
| 19 | Characteristics of Excessive Horizontal Stress in Korea by Hydraulic Fracturing Stress Measurement | 2 |
| 20 | 33 |
About Jaemin Kim
Jaemin Kim is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 31 papers that have together received 331 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (4 papers), Electric Vehicles and Infrastructure (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Signal Processing (40 citations) and Human-Computer Interaction (19 citations). Jaemin Kim has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Naehyuck Chang, Donkyu Baek, John W. Woods, Phill‐Seung Lee, Robert J. Marks, Hyuk Lim, Yongsoon Eun, Kyung‐Joon Park, Jeong‐Ho Kim and Souhwan Jung. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and AIAA Journal.
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.