Tae-Yoon Kim
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Polymers and Plastics top 10%
- Co-authors
- Jin Pyo HongYeonJoo JeongJaewook KimJoon Young KwakInho KimJongkil ParkSuyoun LeeJong‐Keuk Park
- Topics
- Advanced Memory and Neural Computing (17 papers)Ferroelectric and Negative Capacitance Devices (12 papers)Thin-Film Transistor Technologies (7 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeurosciencePolymers and Plastics
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Tae-Yoon Kim
56 papers receiving 794 citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 568
- Materials Chemistry 170
- Cellular and Molecular Neuroscience 138
- Artificial Intelligence 108
- Polymers and Plastics 99
Countries citing papers authored by Tae-Yoon Kim
This map shows the geographic impact of Tae-Yoon Kim'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 Tae-Yoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Yoon Kim more than expected).
Fields of papers citing papers by Tae-Yoon Kim
This network shows the impact of papers produced by Tae-Yoon Kim. 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 Tae-Yoon Kim. The network helps show where Tae-Yoon Kim may publish in the future.
Co-authorship network of co-authors of Tae-Yoon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Yoon Kim. A scholar is included among the top collaborators of Tae-Yoon Kim 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 Tae-Yoon Kim. Tae-Yoon Kim 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 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 54 | |
| 9 | 62 | |
| 10 | 14 | |
| 11 | 14 | |
| 12 | 46 | |
| 13 | 14 | |
| 14 | Confidence interval forecast of exchange rate based on bootstrap method during economic crisis | 1 |
| 15 | Stock market stability index via linear and neural network autoregressive model | 5 |
| 16 | 0 | |
| 17 | KOSPI directivity forecasting by time series model | 1 |
| 18 | EXTRACTION OF TEMPORAL INFORMATION FROM KOREAN PHRASE FOR NATURAL LANGUAGE INTERFACE SYSTEM | 1 |
| 19 | Computer Program Development for Two Populations Inference | 0 |
| 20 | Computer Simulation Program for Central Limit Theorem - Dynamic MS Excel Program - | 1 |
About Tae-Yoon Kim
Tae-Yoon Kim is a scholar working on Electrical and Electronic Engineering, Statistics and Probability and Artificial Intelligence, having authored 70 papers that have together received 819 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Ferroelectric and Negative Capacitance Devices (12 papers) and Thin-Film Transistor Technologies (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (568 citations), Cellular and Molecular Neuroscience (138 citations) and Polymers and Plastics (99 citations). Tae-Yoon Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jin Pyo Hong, YeonJoo Jeong, Jaewook Kim, Joon Young Kwak, Inho Kim, Jongkil Park, Suyoun Lee, Jong‐Keuk Park, Chanho Pak and Seungmo Yang. Their work appears in journals such as Nature Communications, Nano Letters and Applied Physics Letters.
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.