Young-Jae Park
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Computational Mechanics
- Co-authors
- Seung‐Ki SulHyun-Sam JungHyunsoo ParkHae‐Gon JeonSunghoon LimSun Jun KimNahyun KwonYongsoon Park
- Topics
- Video Analysis and Summarization (3 papers)Face recognition and analysis (3 papers)RFID technology advancements (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of The Electrochemical SocietyExpert Systems with Applications
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Young-Jae Park
27 papers receiving 233 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 157
- Control and Systems Engineering 82
- Computer Vision and Pattern Recognition 39
- Automotive Engineering 23
- Computational Mechanics 15
Countries citing papers authored by Young-Jae Park
This map shows the geographic impact of Young-Jae 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-Jae 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-Jae Park more than expected).
Fields of papers citing papers by Young-Jae Park
This network shows the impact of papers produced by Young-Jae 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-Jae Park. The network helps show where Young-Jae Park may publish in the future.
Co-authorship network of co-authors of Young-Jae Park
This figure shows the co-authorship network connecting the top 25 collaborators of Young-Jae Park. A scholar is included among the top collaborators of Young-Jae 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-Jae Park. Young-Jae 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 | 2 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 100 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | A Study on the Correlation between Iris Markings and Obesity Indices | 1 |
| 11 | 17 | |
| 12 | 3 | |
| 13 | A Study on the Relationships between Edema Index of Body Composition and Pathologic Patterns | 1 |
| 14 | 6 | |
| 15 | A Study on Diagnostic Pattern Questionnaire Associated with Body Mass Index in 20-40's Women | 3 |
| 16 | 11 | |
| 17 | 1 | |
| 18 | Extraction Method of Skin Region using Skin Color of Eye Zone in YCbCr Color Space | 1 |
| 19 | A Study on Extraction of Skin Region and Lip Using Skin Color of Eye Zone | 2 |
| 20 | 4 |
About Young-Jae Park
Young-Jae Park is a scholar working on Leadership and Management, Media Technology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 249 indexed citations. Recurring topics across this work include Video Analysis and Summarization (3 papers), Face recognition and analysis (3 papers) and RFID technology advancements (3 papers). The work is most often cited by research in Control and Systems Engineering (82 citations), Electrical and Electronic Engineering (157 citations) and Automotive Engineering (23 citations). Young-Jae Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung‐Ki Sul, Hyun-Sam Jung, Hyunsoo Park, Hae‐Gon Jeon, Sunghoon Lim, Sun Jun Kim, Nahyun Kwon, Yongsoon Park, Gye-Young Kim and Jun-Keun Ji. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of The Electrochemical Society 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.