Gwangtae Park
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Hardware and Architecture top 10%
- Aerospace Engineering
- Co-authors
- Hoi‐Jun YooDonghyeon HanJuhyoung LeeJinsu LeeJinmook LeeDongseok ImZhiyong LiSanghoon Kang
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Memory and Neural Computing (6 papers)Robotics and Sensor-Based Localization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Solid-State CircuitsIEEE Micro
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Gwangtae Park
24 papers receiving 278 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 161
- Electrical and Electronic Engineering 135
- Artificial Intelligence 78
- Hardware and Architecture 30
- Aerospace Engineering 21
Countries citing papers authored by Gwangtae Park
This map shows the geographic impact of Gwangtae 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 Gwangtae Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwangtae Park more than expected).
Fields of papers citing papers by Gwangtae Park
This network shows the impact of papers produced by Gwangtae 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 Gwangtae Park. The network helps show where Gwangtae Park may publish in the future.
Co-authorship network of co-authors of Gwangtae Park
This figure shows the co-authorship network connecting the top 25 collaborators of Gwangtae Park. A scholar is included among the top collaborators of Gwangtae 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 Gwangtae Park. Gwangtae 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 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 0 | |
| 15 | 15 | |
| 16 | 49 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | 114 |
About Gwangtae Park
Gwangtae Park is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Instrumentation, having authored 29 papers that have together received 279 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Memory and Neural Computing (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (161 citations) and Hardware and Architecture (30 citations). Gwangtae Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hoi‐Jun Yoo, Donghyeon Han, Juhyoung Lee, Jinsu Lee, Jinmook Lee, Dongseok Im, Zhiyong Li, Sanghoon Kang, Sangjin Kim and Soyeon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Micro.
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.