Eunsang Lee

596 citations
11 papers · 245 indexed · 1 hit paper · h-index 5
Topics
Cryptography and Data Security (4 papers)Education and Learning Interventions (3 papers)Advanced Surface Polishing Techniques (2 papers)
Journals
IEEE AccessJournal of Materials Processing TechnologyJournal of agricultural medicine and community health
Partner nations
South Korea

In The Last Decade

Eunsang Lee

9 papers receiving 236 citations

Hit Papers

Privacy-Preserving Machine Learning With Fully Homomorphi...2022202620232024202250100150

Peers

Eunsang Lee
Comparison fields: 5 of 48
  • Artificial Intelligence 190
  • Computer Vision and Pattern Recognition 49
  • Information Systems 48
  • Computer Networks and Communications 32
  • Electrical and Electronic Engineering 29
Replace Raihani Mohamed with:
Raihani Mohamed Malaysia
Abdellatif Rahmoun Algeria
Nabeil Eltayieb China
Yongxin Zhao China
Stephen D. Strowes United Kingdom
Anwar Hithnawi Switzerland
Alem Fitwi United States
Zirui Qiao China
R. Satheesh Kumar India
Eunsang Lee relative to Raihani Mohamed Malaysia Raihani Mohamed's profile →
Citations per field
00.5×5.2×
Raihani Mohamed · 1×
Citations per year

Countries citing papers authored by Eunsang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eunsang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsang Lee

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 15
3 3
4
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Networkbreakdown →
188
5 11
6 3
7 1
8 1
9 4
10 8
11 11

About Eunsang Lee

Eunsang Lee is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 245 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Education and Learning Interventions (3 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Health Informatics (4 citations) and Computer Vision and Pattern Recognition (49 citations). Eunsang Lee has collaborated with scholars based in South Korea. Frequent co-authors include Young Sik Kim, Jong‐Seon No, Joon-Woo Lee, Junghyun Lee, HyungChul Kang, Maxim Deryabin, Jieun Eom, Donghoon Yoo, Yongwoo Lee and Yongjune Kim. Their work appears in journals such as IEEE Access, Journal of Materials Processing Technology and Journal of agricultural medicine and community health.

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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