Kyoohyung Han

2.0k citations
22 papers · 548 indexed · h-index 11
Topics
Cryptography and Data Security (10 papers)Cryptographic Implementations and Security (4 papers)Privacy-Preserving Technologies in Data (4 papers)

In The Last Decade

Kyoohyung Han

22 papers receiving 525 citations

Peers

Kyoohyung Han
Comparison fields: 5 of 92
  • Artificial Intelligence 290
  • Computer Networks and Communications 103
  • Information Systems 79
  • Computer Vision and Pattern Recognition 75
  • Computational Theory and Mathematics 62
Replace Javier Cabezas with:
Javier Cabezas Spain
Shrikant Tiwari India
Kees van Berkel Netherlands
Yue Yang China
Ningning Cui China
Hamdi A. Mahmoud Egypt
Yuxing Han China
Esin Doğantekin Türkiye
Songyot Nakariyakul Thailand
Zhengxin Huang China
Kyoohyung Han relative to Javier Cabezas Spain Javier Cabezas's profile →
Citations per field
00.5×10.3×
Javier Cabezas · 1×
Citations per year

Countries citing papers authored by Kyoohyung Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyoohyung Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoohyung Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyoohyung Han. A scholar is included among the top collaborators of Kyoohyung Han 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 Kyoohyung Han. Kyoohyung Han 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
#WorkIndexed citations
1 1
2 1
3 36
4 9
5 6
6 4
7 30
8 71
9 76
10 3
11 83
12
Simple Encrypted Arithmetic Library v2.3.0
10
13 6
14 30
15 21
16 9
17 7
18 64
19 2
20 32

About Kyoohyung Han

Kyoohyung Han is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Orthopedics and Sports Medicine, having authored 22 papers that have together received 548 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Cryptographic Implementations and Security (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Artificial Intelligence (290 citations), Animal Science and Zoology (56 citations) and Small Animals (34 citations). Kyoohyung Han has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Jung Hee Cheon, Hyungbo Shim, Junsoo Kim, Seungwan Hong, Daejun Park, Jack Odle, Zhicong Huang, Amir Jalali, Kim Laine and R. J. Harrell. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Access.

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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