Hyoungsik Nam
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Eun‐Ji SongSeung‐Woo LeeJin JangYoung In KimYuanfeng ChenDi GengMallory MativengaJun‐Hee Lee
- Topics
- Thin-Film Transistor Technologies (32 papers)CCD and CMOS Imaging Sensors (13 papers)Advanced Optical Imaging Technologies (13 papers)
- Cited by
- Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hyoungsik Nam
73 papers receiving 656 citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 494
- Computer Vision and Pattern Recognition 162
- Biomedical Engineering 103
- Materials Chemistry 98
- Atomic and Molecular Physics, and Optics 92
Countries citing papers authored by Hyoungsik Nam
This map shows the geographic impact of Hyoungsik Nam'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 Hyoungsik Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoungsik Nam more than expected).
Fields of papers citing papers by Hyoungsik Nam
This network shows the impact of papers produced by Hyoungsik Nam. 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 Hyoungsik Nam. The network helps show where Hyoungsik Nam may publish in the future.
Co-authorship network of co-authors of Hyoungsik Nam
This figure shows the co-authorship network connecting the top 25 collaborators of Hyoungsik Nam. A scholar is included among the top collaborators of Hyoungsik Nam 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 Hyoungsik Nam. Hyoungsik Nam 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 36 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 24 | |
| 20 | 0 |
About Hyoungsik Nam
Hyoungsik Nam is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 79 papers that have together received 683 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (32 papers), CCD and CMOS Imaging Sensors (13 papers) and Advanced Optical Imaging Technologies (13 papers). The work is most often cited by research in Electrical and Electronic Engineering (494 citations), Computer Vision and Pattern Recognition (162 citations) and Human-Computer Interaction (42 citations). Hyoungsik Nam has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Eun‐Ji Song, Seung‐Woo Lee, Jin Jang, Young In Kim, Yuanfeng Chen, Di Geng, Mallory Mativenga, Jun‐Hee Lee, Sang Won Jung and Brian H. Berkeley. Their work appears in journals such as Optics Express, Expert Systems with Applications and IEEE Access.
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.