Seokhie Hong

3.1k total citations
122 papers, 569 citations indexed

About

Seokhie Hong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Seokhie Hong has authored 122 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 59 papers in Computer Vision and Pattern Recognition and 31 papers in Information Systems. Recurrent topics in Seokhie Hong's work include Cryptographic Implementations and Security (83 papers), Coding theory and cryptography (59 papers) and Chaos-based Image/Signal Encryption (57 papers). Seokhie Hong is often cited by papers focused on Cryptographic Implementations and Security (83 papers), Coding theory and cryptography (59 papers) and Chaos-based Image/Signal Encryption (57 papers). Seokhie Hong collaborates with scholars based in South Korea, Belgium and United States. Seokhie Hong's co-authors include Hee Seok Kim, Jaechul Sung, Kitae Jeong, Jongsung Kim, Jongin Lim, Tae Hyun Kim, Won-Tae Kim, Seung-Hyun Seo, Hyeon Chang Kim and Inwhee Joe and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Seokhie Hong

99 papers receiving 530 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seokhie Hong South Korea 13 463 261 127 125 78 122 569
Howard M. Heys Canada 14 557 1.2× 462 1.8× 54 0.4× 140 1.1× 128 1.6× 73 769
Kazuo Ohta Japan 14 561 1.2× 123 0.5× 160 1.3× 187 1.5× 138 1.8× 83 667
Morris J. Dworkin United States 7 391 0.8× 271 1.0× 99 0.8× 84 0.7× 146 1.9× 16 569
Olivier Markowitch Belgium 9 272 0.6× 89 0.3× 73 0.6× 107 0.9× 86 1.1× 28 330
A.J. Elbirt United States 11 440 1.0× 343 1.3× 74 0.6× 145 1.2× 98 1.3× 19 576
Jovan Dj. Golić Serbia 12 344 0.7× 267 1.0× 46 0.4× 97 0.8× 152 1.9× 57 577
María Naya‐Plasencia France 8 315 0.7× 188 0.7× 36 0.3× 36 0.3× 41 0.5× 26 368
Johannes Wolkerstorfer Austria 9 300 0.6× 132 0.5× 128 1.0× 83 0.7× 107 1.4× 18 428
Thomas Pöppelmann Germany 14 630 1.4× 193 0.7× 256 2.0× 87 0.7× 103 1.3× 23 732
Máire O’Neill United Kingdom 14 268 0.6× 164 0.6× 141 1.1× 77 0.6× 57 0.7× 28 498

Countries citing papers authored by Seokhie Hong

Since Specialization
Citations

This map shows the geographic impact of Seokhie Hong'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 Seokhie Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokhie Hong more than expected).

Fields of papers citing papers by Seokhie Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seokhie Hong. 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 Seokhie Hong. The network helps show where Seokhie Hong may publish in the future.

Co-authorship network of co-authors of Seokhie Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Seokhie Hong. A scholar is included among the top collaborators of Seokhie Hong 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 Seokhie Hong. Seokhie Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shin, Moo Whan, et al.. (2025). SAECHAM: Secure and Efficient Lightweight Block Cipher CHAM Variant. IEEE Internet of Things Journal. 12(15). 29989–30002. 1 indexed citations
2.
Kim, Insung, et al.. (2024). Toffoli gate count optimized space-efficient quantum circuit for binary field multiplication. Quantum Information Processing. 23(10).
3.
4.
Kim, Hee Seok, et al.. (2022). Enhancing Time-Frequency Analysis with Zero-Mean Preprocessing. Sensors. 22(7). 2477–2477. 4 indexed citations
5.
Sung, Jaechul, et al.. (2021). MILP-Aided Division Property and Integral Attack on Lightweight Block Cipher PIPO. Information Security and Cryptology. 31(5). 875–888. 1 indexed citations
6.
Kim, Hee Seok, et al.. (2020). A Combined Single Trace Attack on Global Shuffling Long Integer Multiplication and its Novel Countermeasure. IEEE Access. 8. 5244–5255. 2 indexed citations
7.
Hong, Seokhie, et al.. (2020). Fast Implementation of NIST P-256 Elliptic Curve Cryptography on 8-Bit AVR Processor. Applied Sciences. 10(24). 8816–8816. 4 indexed citations
8.
Cho, Sungmin, et al.. (2020). An Improved Horizontal Correlation Analysis Using Collision Characteristics on Lookup Table Based Scalar Multiplication Algorithms. Information Security and Cryptology. 30(2). 179–187. 2 indexed citations
9.
Kim, Donghoon, et al.. (2020). An Study on the Analysis of Design Criteria for S-Box Based on Deep Learning. Information Security and Cryptology. 30(3). 337–347. 1 indexed citations
10.
Cho, Sung‐Min, et al.. (2019). A Practical Collision-Based Power Analysis on RSA Prime Generation and Its Countermeasure. IEEE Access. 7. 47582–47592. 1 indexed citations
11.
Park, Young-Ho, et al.. (2019). New Hybrid Method for Isogeny-Based Cryptosystems Using Edwards Curves. IEEE Transactions on Information Theory. 66(3). 1934–1943. 7 indexed citations
12.
Hong, Seokhie, et al.. (2018). Efficient Isogeny Computations on Twisted Edwards Curves. Security and Communication Networks. 2018. 1–11. 9 indexed citations
13.
Kang, HyungChul, et al.. (2018). Calculating the Approximate Probability of Differentials for ARX-Based Cipher Using SAT Solver. Information Security and Cryptology. 28(1). 15–24. 1 indexed citations
14.
Park, Sehyun, et al.. (2012). Improved Differential Fault Analysis on Block Cipher PRESENT-80/128. Information Security and Cryptology. 22(1). 33–41. 1 indexed citations
15.
Park, Sehyun, et al.. (2011). Differential Fault Analysis on Block Cipher ARIA-128. Information Security and Cryptology. 21(5). 15–25.
16.
Kim, Jong Sung, et al.. (2009). Multiple Impossible Differential Cryptanalysis of Block Cipher CLEFIA and ARIA. Information Security and Cryptology. 19(1). 13–24.
17.
Kim, Tae-Hyun, et al.. (2009). Performance Improvement of Power Attacks with Truncated Differential Cryptanalysis. Information Security and Cryptology. 19(1). 43–51. 1 indexed citations
18.
Han, Dong‐Guk, et al.. (2008). TinyECCK : Efficient Implementation of Elliptic Curve Cryptosystem over GF$(2^m)$ on 8-bit Micaz Mote. Information Security and Cryptology. 18(3). 9–21. 1 indexed citations
19.
Kim, Jongsung, Alex Biryukov, Bart Preneel, & Seokhie Hong. (2006). On the Security of HMAC and NMAC Based on HAVAL, MD4, MD5, SHA-0 and SHA-1. Lecture notes in computer science. 2006. 187–256. 16 indexed citations
20.
Lee, Changhoon, Jongsung Kim, Jaechul Sung, Seokhie Hong, & Sangjin Lee. (2006). Forgery and Key Recovery Attacks on PMAC and Mitchell's TMAC Variant. Lecture notes in computer science. 4058. 421–431.

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.

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