Jiyong Woo
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Hyunsang HwangSeokjae LimKibong MoonSeungyeol OhJ. LeeJungyul ParkChanghyuck SungHyun Kim
- Topics
- Advanced Memory and Neural Computing (49 papers)Ferroelectric and Negative Capacitance Devices (28 papers)Semiconductor materials and devices (17 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- South KoreaUnited StatesIsrael
In The Last Decade
Jiyong Woo
61 papers receiving 606 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 538
- Cellular and Molecular Neuroscience 174
- Polymers and Plastics 109
- Materials Chemistry 87
- Artificial Intelligence 79
Countries citing papers authored by Jiyong Woo
This map shows the geographic impact of Jiyong Woo'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 Jiyong Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyong Woo more than expected).
Fields of papers citing papers by Jiyong Woo
This network shows the impact of papers produced by Jiyong Woo. 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 Jiyong Woo. The network helps show where Jiyong Woo may publish in the future.
Co-authorship network of co-authors of Jiyong Woo
This figure shows the co-authorship network connecting the top 25 collaborators of Jiyong Woo. A scholar is included among the top collaborators of Jiyong Woo 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 Jiyong Woo. Jiyong Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Monolithic integration of AgTe/TiO2 based threshold switching device with TiN liner for steep slope field-effect transistors | 14 |
| 20 | 12 |
About Jiyong Woo
Jiyong Woo is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 67 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (49 papers), Ferroelectric and Negative Capacitance Devices (28 papers) and Semiconductor materials and devices (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (174 citations), Electrical and Electronic Engineering (538 citations) and Polymers and Plastics (109 citations). Jiyong Woo has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Hyunsang Hwang, Seokjae Lim, Kibong Moon, Seungyeol Oh, J. Lee, Jungyul Park, Changhyuck Sung, Hyun Kim, Daeseok Lee and Chuljun Lee. 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.