Chul-Heung Kim
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Cognitive Neuroscience
- Polymers and Plastics
- Co-authors
- Jong‐Ho LeeJong‐Ho BaeSoochang LeeSung Yun WooSuhwan LimWon-Mook KangByung‐Gook ParkDongseok Kwon
- Topics
- Advanced Memory and Neural Computing (19 papers)Neuroscience and Neural Engineering (10 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Partner nations
- South KoreaUnited States
In The Last Decade
Chul-Heung Kim
21 papers receiving 347 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 343
- Cellular and Molecular Neuroscience 122
- Artificial Intelligence 87
- Cognitive Neuroscience 82
- Polymers and Plastics 16
Countries citing papers authored by Chul-Heung Kim
This map shows the geographic impact of Chul-Heung 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 Chul-Heung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul-Heung Kim more than expected).
Fields of papers citing papers by Chul-Heung Kim
This network shows the impact of papers produced by Chul-Heung 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 Chul-Heung Kim. The network helps show where Chul-Heung Kim may publish in the future.
Co-authorship network of co-authors of Chul-Heung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chul-Heung Kim. A scholar is included among the top collaborators of Chul-Heung 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 Chul-Heung Kim. Chul-Heung 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 | 2 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 70 | |
| 16 | 52 | |
| 17 | 19 | |
| 18 | 31 | |
| 19 | 34 | |
| 20 | 4 |
About Chul-Heung Kim
Chul-Heung Kim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Neuroscience and Neural Engineering (10 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (122 citations), Electrical and Electronic Engineering (343 citations) and Cognitive Neuroscience (82 citations). Chul-Heung Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jong‐Ho Lee, Jong‐Ho Bae, Soochang Lee, Sung Yun Woo, Suhwan Lim, Won-Mook Kang, Byung‐Gook Park, Dongseok Kwon, Sung‐Tae Lee and Jangsaeng Kim. Their work appears in journals such as IEEE Transactions on Electron Devices, Nanotechnology and Neurocomputing.
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.