Hyongsuk Kim
- Electrical and Electronic Engineering top 1%
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 2%
- Co-authors
- Leon O. ChuaMaheshwar Pd. SahChangju YangShyam Prasad AdhikariValeriy I. SbitnevZubaer Ibna MannanTamás RoskaRam Kaji Budhathoki
- Topics
- Advanced Memory and Neural Computing (64 papers)Neuroscience and Neural Engineering (34 papers)Neural dynamics and brain function (26 papers)
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Hyongsuk Kim
153 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Electrical and Electronic Engineering 3.4k
- Cellular and Molecular Neuroscience 1.4k
- Cognitive Neuroscience 1.2k
- Statistical and Nonlinear Physics 1.1k
- Computer Networks and Communications 766
Countries citing papers authored by Hyongsuk Kim
This map shows the geographic impact of Hyongsuk 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 Hyongsuk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyongsuk Kim more than expected).
Fields of papers citing papers by Hyongsuk Kim
This network shows the impact of papers produced by Hyongsuk 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 Hyongsuk Kim. The network helps show where Hyongsuk Kim may publish in the future.
Co-authorship network of co-authors of Hyongsuk Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyongsuk Kim. A scholar is included among the top collaborators of Hyongsuk 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 Hyongsuk Kim. Hyongsuk 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 106 | |
| 17 | Dynamic programming and curve fitting based road boundary detection | 9 |
| 18 | Parallel Structure of Viterbi Decoder for High Performance of PRML Signal | 0 |
| 19 | 2D Visual Features based Vehicle Detection | 1 |
| 20 | An On-line Construction of Generalized RBF Networks for System Modeling | 2 |
About Hyongsuk Kim
Hyongsuk Kim is a scholar working on Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 165 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (64 papers), Neuroscience and Neural Engineering (34 papers) and Neural dynamics and brain function (26 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Cellular and Molecular Neuroscience (1.4k citations) and Cognitive Neuroscience (1.2k citations). Hyongsuk Kim has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Leon O. Chua, Maheshwar Pd. Sah, Changju Yang, Shyam Prasad Adhikari, Valeriy I. Sbitnev, Zubaer Ibna Mannan, Tamás Roska, Ram Kaji Budhathoki, Thomas M. Jahns and Seong-Ik Cho. Their work appears in journals such as Proceedings of the IEEE, Scientific Reports and IEEE Transactions on Industrial Electronics.
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.