Gyeong‐Su Park
- Electrical and Electronic Engineering top 1%
- Materials Chemistry top 2%
- Polymers and Plastics top 1%
- Cellular and Molecular Neuroscience top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Co-authors
- Xiang‐Shu LiMiyoung KimKyung Min KimDeok‐Hwang KwonSeungwu HanGun Hwan KimBora LeeMin Hwan Lee
- Topics
- Semiconductor materials and devices (17 papers)Advanced Memory and Neural Computing (16 papers)ZnO doping and properties (10 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Gyeong‐Su Park
70 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 3.8k
- Materials Chemistry 2.1k
- Polymers and Plastics 1.1k
- Cellular and Molecular Neuroscience 971
- Renewable Energy, Sustainability and the Environment 503
Countries citing papers authored by Gyeong‐Su Park
This map shows the geographic impact of Gyeong‐Su 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 Gyeong‐Su Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyeong‐Su Park more than expected).
Fields of papers citing papers by Gyeong‐Su Park
This network shows the impact of papers produced by Gyeong‐Su 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 Gyeong‐Su Park. The network helps show where Gyeong‐Su Park may publish in the future.
Co-authorship network of co-authors of Gyeong‐Su Park
This figure shows the co-authorship network connecting the top 25 collaborators of Gyeong‐Su Park. A scholar is included among the top collaborators of Gyeong‐Su 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 Gyeong‐Su Park. Gyeong‐Su 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 | 220 | |
| 2 | 28 | |
| 3 | 17 | |
| 4 | 81 | |
| 5 | 302 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 83 | |
| 9 | Bi-layered RRAM with unlimited endurance and extremely uniform switching | 111 |
| 10 | 156 | |
| 11 | Atomic structure of conducting nanofilaments in TiO2 resistive switching memorybreakdown → | 1794 |
| 12 | 7 | |
| 13 | 84 | |
| 14 | 14 | |
| 15 | 49 | |
| 16 | 218 | |
| 17 | 22 | |
| 18 | 32 | |
| 19 | 58 | |
| 20 | 34 |
About Gyeong‐Su Park
Gyeong‐Su Park is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Electrical and Electronic Engineering, having authored 71 papers that have together received 5.0k indexed citations. Recurring topics across this work include Semiconductor materials and devices (17 papers), Advanced Memory and Neural Computing (16 papers) and ZnO doping and properties (10 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Electrical and Electronic Engineering (3.8k citations) and Cellular and Molecular Neuroscience (971 citations). Gyeong‐Su Park has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Xiang‐Shu Li, Miyoung Kim, Kyung Min Kim, Deok‐Hwang Kwon, Seungwu Han, Gun Hwan Kim, Bora Lee, Min Hwan Lee, Jae Hyuck Jang and Cheol Seong Hwang. Their work appears in journals such as Science, Physical Review Letters and Advanced Materials.
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.