Kyeong‐Eun Han

720 citations
23 papers · 503 · h-index 8

Impact in

Papers in

Kyeong‐Eun Han

18 papers receiving 471 citations

Peers

Kyeong‐Eun Han
Comparison fields: 5 of 58
  • Artificial Intelligence 241
  • Computer Networks and Communications 106
  • Computational Theory and Mathematics 54
  • Electrical and Electronic Engineering 193
  • Industrial and Manufacturing Engineering 29
Replace A. Narayanan with:
A. Narayanan United Kingdom
Riccardo Bassoli Germany
Antonio Pastor Spain
Yu-Xiang Wang China
Jinbo Huang China
Shengdong Xie China
Bo Hang China
Xu Zhu Japan
Changqing Gong China
Kyeong‐Eun Han relative to A. Narayanan United Kingdom A. Narayanan's profile →
Citations per field
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A. Narayanan · 1×
Citations per year

Countries citing papers authored by Kyeong‐Eun Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyeong‐Eun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Kyeong‐Eun Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyeong‐Eun Han Line = papers co-authored together Kyeong‐Eun Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004345
2 200440
3 201833
4 200526
5 20089
6 20038
7 20078
8 20187
9 20186
10 20184
11 20074
12 20173
13 20073
14 20123
15 20211
16 20061
17 20181
18 20201
19 20220
20
Efficient Bloom Filter Based Destination Address Monitoring Scheme for DDoS Attack Detection
20080

About Kyeong‐Eun Han

Kyeong‐Eun Han is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Information Systems, having authored 23 papers that have together received 503 indexed citations. Recurring topics across this work include Optical Network Technologies (13 papers), Advanced Optical Network Technologies (12 papers), Advanced Photonic Communication Systems (7 papers), Interconnection Networks and Systems (7 papers), Software-Defined Networks and 5G (5 papers), Cloud Computing and Resource Management (2 papers), Advanced Fiber Laser Technologies (2 papers) and Semiconductor Lasers and Optical Devices (2 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Computer Networks and Communications (106 citations), Computational Theory and Mathematics (54 citations), Electrical and Electronic Engineering (193 citations) and Industrial and Manufacturing Engineering (29 citations). Kyeong‐Eun Han has collaborated with scholars based in South Korea and India. Frequent co-authors include Y. C. Chung, Kwangjoon Kim, Young-Chon Kim, Massimo Tornatore, Biswanath Mukherjee, Xinbo Wang, Limei Peng, I.-W. Lyo, Debasish Datta and Joonki Lee. Their work appears in journals such as Photonic Network Communications, ETRI Journal, IEEE Transactions on Evolutionary Computation, Surface Science and Journal of Lightwave Technology.

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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