HyungChul Kang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Jieun EomYoung Sik KimEunsang LeeJunghyun LeeJoon-Woo LeeMaxim DeryabinDonghoon YooYongwoo Lee
- Topics
- Cryptographic Implementations and Security (3 papers)Chaos-based Image/Signal Encryption (2 papers)graph theory and CDMA systems (2 papers)
- Journals
- IEEE AccessIEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesTransactions of the Korean Society of Mechanical Engineers B
- Partner nations
- South Korea
In The Last Decade
HyungChul Kang
5 papers receiving 189 citations
Hit Papers
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 170
- Computer Vision and Pattern Recognition 49
- Information Systems 41
- Computer Networks and Communications 20
- Electrical and Electronic Engineering 16
Countries citing papers authored by HyungChul Kang
This map shows the geographic impact of HyungChul Kang'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 HyungChul Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HyungChul Kang more than expected).
Fields of papers citing papers by HyungChul Kang
This network shows the impact of papers produced by HyungChul Kang. 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 HyungChul Kang. The network helps show where HyungChul Kang may publish in the future.
Co-authorship network of co-authors of HyungChul Kang
This figure shows the co-authorship network connecting the top 25 collaborators of HyungChul Kang. A scholar is included among the top collaborators of HyungChul Kang 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 HyungChul Kang. HyungChul Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Networkbreakdown → | 188 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 |
About HyungChul Kang
HyungChul Kang is a scholar working on Transportation, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 196 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (3 papers), Chaos-based Image/Signal Encryption (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Artificial Intelligence (170 citations), Health Informatics (4 citations) and Computer Vision and Pattern Recognition (49 citations). HyungChul Kang has collaborated with scholars based in South Korea. Frequent co-authors include Jieun Eom, Young Sik Kim, Eunsang Lee, Junghyun Lee, Joon-Woo Lee, Maxim Deryabin, Donghoon Yoo, Yongwoo Lee, Jong‐Seon No and Deukjo Hong. Their work appears in journals such as IEEE Access, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and Transactions of the Korean Society of Mechanical Engineers B.
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.