Jong Hwan Park
- Artificial Intelligence top 2%
- Cryptography and Data Security 42
- Cryptographic Implementations and Security 11
- Privacy-Preserving Technologies in Data 11
- Coding theory and cryptography 6
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- Complexity and Algorithms in Graphs 22
- Information Systems top 2%
- Cryptography and Residue Arithmetic 9
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- Chaos-based Image/Signal Encryption 9
- Advanced Steganography and Watermarking Techniques 6
Jong Hwan Park
47 papers receiving 753 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 694
- Computational Theory and Mathematics 260
- Information Systems 315
- Computer Vision and Pattern Recognition 158
- Computer Networks and Communications 134
Countries citing papers authored by Jong Hwan Park
This map shows the geographic impact of Jong Hwan Park'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 Jong Hwan Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Hwan Park more than expected).
Fields of papers citing papers by Jong Hwan Park
This network shows the impact of papers produced by Jong Hwan Park. 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 Jong Hwan Park. The network helps show where Jong Hwan Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jong Hwan Park, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 2 | |
| 14 | 2015 | 11 | |
| 15 | 2015 | 0 | |
| 16 | Fish Distribution, Compositions and Community Structure Characteristics during Juksan-Weir Construction in Yeongsan River Watershed | 2012 | 3 |
| 17 | 2011 | 68 | |
| 18 | 2010 | 7 | |
| 19 | EFFICIENT CERTIFICATELESS PUBLIC KEY ENCRYPTION SECURE AGAINST CHOSEN PLAINTEXT ATTACKS | 2007 | 1 |
| 20 | Certificateless public key encryption in the selective-ID security model | 2007 | 2 |
About Jong Hwan Park
Jong Hwan Park is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 56 papers that have together received 785 indexed citations. Recurring topics across this work include Cryptography and Data Security (42 papers), Complexity and Algorithms in Graphs (22 papers), Cryptographic Implementations and Security (11 papers), Privacy-Preserving Technologies in Data (11 papers), Chaos-based Image/Signal Encryption (9 papers), Cryptography and Residue Arithmetic (9 papers), Coding theory and cryptography (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (694 citations), Computational Theory and Mathematics (260 citations) and Information Systems (315 citations). Jong Hwan Park has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Dong Hoon Lee, Hyun Sook Rhee, Willy Susilo, Kyu Young Choi, Kwangsu Lee, Seong Oun Hwang, Chan‐Il Park, Dong Hoon Lee, Minhye Seo and Ju Sik Cho. Their work appears in journals such as IEEE Access, Designs Codes and Cryptography, Information Sciences, International Journal of Information Security and Applied Sciences.
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.