Young-Tae Park
- Computer Vision and Pattern Recognition top 5%
- Oceanography top 10%
- Artificial Intelligence top 10%
- Ecology
- Human-Computer Interaction top 5%
- Topics
- Video Surveillance and Tracking Methods (5 papers)Machine Learning and Data Classification (4 papers)Industrial Vision Systems and Defect Detection (4 papers)
- Partner nations
- South KoreaUnited StatesCyprus
In The Last Decade
Young-Tae Park
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 169
- Oceanography 116
- Artificial Intelligence 106
- Ecology 65
- Human-Computer Interaction 57
Countries citing papers authored by Young-Tae Park
This map shows the geographic impact of Young-Tae Park'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 Young-Tae Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Tae Park more than expected).
Fields of papers citing papers by Young-Tae Park
This network shows the impact of papers produced by Young-Tae Park. 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 Young-Tae Park. The network helps show where Young-Tae Park may publish in the future.
Co-authorship network of co-authors of Young-Tae Park
This figure shows the co-authorship network connecting the top 25 collaborators of Young-Tae Park. A scholar is included among the top collaborators of Young-Tae Park 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 Young-Tae Park. Young-Tae Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 30 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | Developing for Reduction Technology of AMD through Coating on the Surface of Pyrite Using Minerals | 3 |
| 7 | 16 | |
| 8 | Analysis on performance of current transformer for low power measurement system | 1 |
| 9 | Development of Control Technology for Acid Mine Drainage by Coating on the Surface of Pyrite using Chemicals | 4 |
| 10 | 1 | |
| 11 | 5 | |
| 12 | A Comparative Study on Outbreak Scale of Cochlodinium polykrikoides Blooms | 3 |
| 13 | 9 | |
| 14 | Video-based detection of street-parking violation | 25 |
| 15 | 4 | |
| 16 | 2 | |
| 17 | Countermeasure and Outbreak Mechanism of Cochlodinium polykrikoides red tide 1. Environmental characteristics on outbreak and disappearanceof C. polykrikoides bloom | 9 |
| 18 | Robust Fingerprint Verification By Selective Ridge Matching | 0 |
| 19 | 0 | |
| 20 | The Characteristics of Hydrodynamics and Mass Transfer in Three Phase Fluidized Column with Draft Tube | 3 |
About Young-Tae Park
Young-Tae Park is a scholar working on Architecture, Computer Vision and Pattern Recognition and Oceanography, having authored 36 papers that have together received 479 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Machine Learning and Data Classification (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Oceanography (116 citations) and Computer Vision and Pattern Recognition (169 citations). Young-Tae Park has collaborated with scholars based in South Korea, United States and Cyprus. Frequent co-authors include Daeho Lee, Jack Sklansky, Chang-Kyu Lee, Tae-Gyu Park, Wook Ki Jung, Do Kyung Kim, Ho Jin, Dae-Ho Lee, Gildong Kim and Seok–Myeong Jang. Their work appears in journals such as Journal of Applied Physics, Pattern Recognition and Journal of Materials Chemistry C.
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.