Yulhwa Kim
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Hardware and Architecture top 10%
- Topics
- Advanced Memory and Neural Computing (16 papers)Ferroelectric and Negative Capacitance Devices (13 papers)Machine Learning and ELM (6 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited States
In The Last Decade
Yulhwa Kim
18 papers receiving 340 citations
Peers
Comparison fields: 5 of 25
- Electrical and Electronic Engineering 310
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 70
- Cellular and Molecular Neuroscience 42
- Hardware and Architecture 37
Countries citing papers authored by Yulhwa Kim
This map shows the geographic impact of Yulhwa 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 Yulhwa Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulhwa Kim more than expected).
Fields of papers citing papers by Yulhwa Kim
This network shows the impact of papers produced by Yulhwa 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 Yulhwa Kim. The network helps show where Yulhwa Kim may publish in the future.
Co-authorship network of co-authors of Yulhwa Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yulhwa Kim. A scholar is included among the top collaborators of Yulhwa 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 Yulhwa Kim. Yulhwa 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 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 35 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 50 | |
| 12 | 6 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 67 | |
| 16 | 10 | |
| 17 | 74 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 23 |
About Yulhwa Kim
Yulhwa Kim is a scholar working on Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering, having authored 21 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Machine Learning and ELM (6 papers). The work is most often cited by research in Hardware and Architecture (37 citations), Electrical and Electronic Engineering (310 citations) and Computer Vision and Pattern Recognition (70 citations). Yulhwa Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jae‐Joon Kim, Hyungjun Kim, Taesu Kim, Shimeng Yu, Jae-sun Seo, Shihui Yin, Xiaoyu Sun, Seunghyun Yoo, Wooseok Yi and Yandong Luo. Their work appears in journals such as IEEE Access, IEEE Journal of Solid-State Circuits and IEEE Micro.
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.