Jun Yeong Seok
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Polymers and Plastics top 2%
- Materials Chemistry top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Cheol Seong HwangSeul Ji SongGun Hwan KimJung Ho YoonMin Hwan LeeKyung Jean YoonKyung Min KimDae Eun Kwon
- Topics
- Advanced Memory and Neural Computing (34 papers)Ferroelectric and Negative Capacitance Devices (18 papers)Neuroscience and Neural Engineering (13 papers)
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Jun Yeong Seok
35 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 2.4k
- Cellular and Molecular Neuroscience 893
- Polymers and Plastics 695
- Materials Chemistry 521
- Cognitive Neuroscience 180
Countries citing papers authored by Jun Yeong Seok
This map shows the geographic impact of Jun Yeong Seok'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 Jun Yeong Seok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yeong Seok more than expected).
Fields of papers citing papers by Jun Yeong Seok
This network shows the impact of papers produced by Jun Yeong Seok. 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 Jun Yeong Seok. The network helps show where Jun Yeong Seok may publish in the future.
Co-authorship network of co-authors of Jun Yeong Seok
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yeong Seok. A scholar is included among the top collaborators of Jun Yeong Seok 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 Jun Yeong Seok. Jun Yeong Seok 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 | 4 | |
| 3 | 62 | |
| 4 | 34 | |
| 5 | 36 | |
| 6 | 21 | |
| 7 | 171 | |
| 8 | 75 | |
| 9 | 35 | |
| 10 | 68 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 66 | |
| 14 | 115 | |
| 15 | 125 | |
| 16 | 42 | |
| 17 | 26 | |
| 18 | 14 | |
| 19 | 43 | |
| 20 | 78 |
About Jun Yeong Seok
Jun Yeong Seok is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrochemistry, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Ferroelectric and Negative Capacitance Devices (18 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Polymers and Plastics (695 citations), Cellular and Molecular Neuroscience (893 citations) and Electrical and Electronic Engineering (2.4k citations). Jun Yeong Seok has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Cheol Seong Hwang, Seul Ji Song, Gun Hwan Kim, Jung Ho Yoon, Min Hwan Lee, Kyung Jean Yoon, Kyung Min Kim, Dae Eun Kwon, Tae Hyung Park and Hyungkwang Lim. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.
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.