Dong‐Guk Han
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security 23
- Artificial Intelligence top 10%
- Cryptographic Implementations and Security 46
- Coding theory and cryptography 13
- Cryptography and Data Security 11
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- Chaos-based Image/Signal Encryption 31
- Signal Processing top 10%
- Advanced Malware Detection Techniques 7
- Information Systems top 10%
- Cryptography and Residue Arithmetic 14
- User Authentication and Security Systems 3
- Co-authors
- Dooho ChoiJonghyeok LeeMun‐Kyu LeeHowon KimKyung‐Ah ShimJong‐Yeon ParkSangjin LeeSeokhie Hong
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Dong‐Guk Han
47 papers receiving 223 citations
Peers
Comparison fields: 5 of 18
- Hardware and Architecture 73
- Artificial Intelligence 194
- Computer Vision and Pattern Recognition 102
- Signal Processing 49
- Information Systems 58
Countries citing papers authored by Dong‐Guk Han
This map shows the geographic impact of Dong‐Guk Han'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 Dong‐Guk Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Guk Han more than expected).
Fields of papers citing papers by Dong‐Guk Han
This network shows the impact of papers produced by Dong‐Guk Han. 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 Dong‐Guk Han. The network helps show where Dong‐Guk Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong‐Guk Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 2 | |
| 14 | 2015 | 0 | |
| 15 | 2015 | 1 | |
| 16 | 2013 | 6 | |
| 17 | Security Analysis of the Masking-Shuffling based Side Channel Attack Countermeasures | 2012 | 1 |
| 18 | Power analysis attacks against NTRU and their countermeasures | 2009 | 1 |
| 19 | A High-speed Masking Method to protect ARIA against Side Channel Analysis | 2008 | 0 |
| 20 | TinyECCK : Efficient Implementation of Elliptic Curve Cryptosystem over GF$(2^m)$ on 8-bit Micaz Mote | 2008 | 1 |
About Dong‐Guk Han
Dong‐Guk Han is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 237 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (46 papers), Chaos-based Image/Signal Encryption (31 papers), Physical Unclonable Functions (PUFs) and Hardware Security (23 papers), Cryptography and Residue Arithmetic (14 papers), Coding theory and cryptography (13 papers), Cryptography and Data Security (11 papers), Advanced Malware Detection Techniques (7 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Hardware and Architecture (73 citations), Artificial Intelligence (194 citations) and Computer Vision and Pattern Recognition (102 citations). Dong‐Guk Han has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Dooho Choi, Jonghyeok Lee, Mun‐Kyu Lee, Howon Kim, Kyung‐Ah Shim, Jong‐Yeon Park, Sangjin Lee, Seokhie Hong, Jeong‐Nyeo Kim and Jihoon Cho.
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.