Dae-Hwan Kim
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Aerospace Engineering
- Media Technology
- Electrical and Electronic Engineering
- Co-authors
- Daijin KimSung-Jea KoSuryanto SuryantoSunghwan KimHoseong KimSeungryong KimKi Hong KimLei Lei
- Topics
- Video Surveillance and Tracking Methods (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Vision and Imaging (7 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE AccessColloids and Surfaces A Physicochemical and Engineering Aspects
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Dae-Hwan Kim
26 papers receiving 199 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 163
- Artificial Intelligence 55
- Aerospace Engineering 33
- Media Technology 23
- Electrical and Electronic Engineering 22
Countries citing papers authored by Dae-Hwan Kim
This map shows the geographic impact of Dae-Hwan 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 Dae-Hwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae-Hwan Kim more than expected).
Fields of papers citing papers by Dae-Hwan Kim
This network shows the impact of papers produced by Dae-Hwan 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 Dae-Hwan Kim. The network helps show where Dae-Hwan Kim may publish in the future.
Co-authorship network of co-authors of Dae-Hwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Hwan Kim. A scholar is included among the top collaborators of Dae-Hwan 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 Dae-Hwan Kim. Dae-Hwan 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 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | Fast Object Detection Method for Visual Surveillance | 1 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 16 |
About Dae-Hwan Kim
Dae-Hwan Kim is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing, having authored 28 papers that have together received 204 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Media Technology (23 citations) and Human-Computer Interaction (10 citations). Dae-Hwan Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Daijin Kim, Sung-Jea Ko, Suryanto Suryanto, Sunghwan Kim, Hoseong Kim, Seungryong Kim, Ki Hong Kim, Lei Lei, Sung-Yang Bang and Seung‐Wook Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.