Yuseong Jang
- Electrical and Electronic Engineering
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Polymers and Plastics
- Cellular and Molecular Neuroscience
- Co-authors
- Soo‐Yeon LeeByungha ShinSung‐Wook NamJin-Kyu LeeHo‐Jin LeeJihye GwakPyuck‐Pa ChoiJae Ho Yun
- Topics
- Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Neural Networks and Reservoir Computing (5 papers)
- Cited by
- Electrical and Electronic EngineeringElectronic, Optical and Magnetic MaterialsPolymers and Plastics
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Yuseong Jang
17 papers receiving 337 citations
Peers
Comparison fields: 5 of 40
- Electrical and Electronic Engineering 298
- Materials Chemistry 118
- Electronic, Optical and Magnetic Materials 56
- Polymers and Plastics 40
- Cellular and Molecular Neuroscience 34
Countries citing papers authored by Yuseong Jang
This map shows the geographic impact of Yuseong Jang'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 Yuseong Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuseong Jang more than expected).
Fields of papers citing papers by Yuseong Jang
This network shows the impact of papers produced by Yuseong Jang. 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 Yuseong Jang. The network helps show where Yuseong Jang may publish in the future.
Co-authorship network of co-authors of Yuseong Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuseong Jang. A scholar is included among the top collaborators of Yuseong Jang 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 Yuseong Jang. Yuseong Jang 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 38 | |
| 12 | 0 | |
| 13 | 13 | |
| 14 | 92 | |
| 15 | 1 | |
| 16 | 49 | |
| 17 | 8 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | 1 |
About Yuseong Jang
Yuseong Jang is a scholar working on Electrical and Electronic Engineering, Instrumentation and Condensed Matter Physics, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (298 citations), Electronic, Optical and Magnetic Materials (56 citations) and Polymers and Plastics (40 citations). Yuseong Jang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Soo‐Yeon Lee, Byungha Shin, Sung‐Wook Nam, Jin-Kyu Lee, Ho‐Jin Lee, Jihye Gwak, Pyuck‐Pa Choi, Jae Ho Yun, Kihwan Kim and Chanwon Jung. Their work appears in journals such as Journal of Applied Physics, ACS Applied Materials & Interfaces and Advanced Science.
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.