Eunsang Lee

596 total citations · 1 hit paper
11 papers, 245 citations indexed

About

Eunsang Lee is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Eunsang Lee has authored 11 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Eunsang Lee's work include Cryptography and Data Security (4 papers), Education and Learning Interventions (3 papers) and Advanced Surface Polishing Techniques (2 papers). Eunsang Lee is often cited by papers focused on Cryptography and Data Security (4 papers), Education and Learning Interventions (3 papers) and Advanced Surface Polishing Techniques (2 papers). Eunsang Lee collaborates with scholars based in South Korea. Eunsang Lee's co-authors include Jong‐Seon No, Young Sik Kim, Joon-Woo Lee, Junghyun Lee, Jieun Eom, Yongwoo Lee, Maxim Deryabin, Donghoon Yoo, HyungChul Kang and Yongjune Kim and has published in prestigious journals such as IEEE Access, Journal of Materials Processing Technology and Journal of agricultural medicine and community health.

In The Last Decade

Eunsang Lee

9 papers receiving 236 citations

Hit Papers

Privacy-Preserving Machine Learning With Fully Homomorphi... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunsang Lee South Korea 5 190 49 48 32 29 11 245
Abdellatif Rahmoun Algeria 9 112 0.6× 30 0.6× 59 1.2× 82 2.6× 63 2.2× 38 251
Nabeil Eltayieb China 8 240 1.3× 34 0.7× 191 4.0× 116 3.6× 44 1.5× 19 323
Allan Tomlinson United Kingdom 8 66 0.3× 23 0.5× 66 1.4× 110 3.4× 14 0.5× 25 180
Stephen D. Strowes United Kingdom 8 79 0.4× 31 0.6× 39 0.8× 212 6.6× 85 2.9× 14 257
Zorana Banković Spain 7 90 0.5× 11 0.2× 37 0.8× 144 4.5× 17 0.6× 29 209
Giacomo de Meulenaer Belgium 2 75 0.4× 30 0.6× 48 1.0× 187 5.8× 49 1.7× 3 232
R. Satheesh Kumar India 8 46 0.2× 31 0.6× 71 1.5× 143 4.5× 17 0.6× 31 246
Xiaoming Huang China 5 288 1.5× 15 0.3× 43 0.9× 42 1.3× 28 1.0× 13 323
Yongxin Zhao China 8 60 0.3× 9 0.2× 58 1.2× 95 3.0× 23 0.8× 51 206
Raju Pandey United States 7 85 0.4× 44 0.9× 72 1.5× 223 7.0× 39 1.3× 19 296

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
1.
Park, Dong-Jin, Eunsang Lee, & Joon-Woo Lee. (2025). Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption. 11090–11111.
2.
Lee, Junghyun, Eunsang Lee, Joon-Woo Lee, et al.. (2023). Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data. IEEE Access. 11. 62062–62076. 15 indexed citations
3.
Lee, Eunsang, et al.. (2022). An Analysis of Educational Needs on Teacher Competencies for Education using AI. Korean Association for Educational Information and Media. 28(3). 821–842. 3 indexed citations
4.
Lee, Eunsang, Joon-Woo Lee, Young Sik Kim, & Jong‐Seon No. (2022). Optimization of Homomorphic Comparison Algorithm on RNS-CKKS Scheme. IEEE Access. 10. 26163–26176. 11 indexed citations
5.
Lee, Joon-Woo, HyungChul Kang, Yongwoo Lee, et al.. (2022). Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network. IEEE Access. 10. 30039–30054. 188 indexed citations breakdown →
6.
Shin, Dong‐Joon, et al.. (2020). Analysis of Error Dependencies on Newhope. IEEE Access. 8. 45443–45456. 3 indexed citations
7.
Lee, Eunsang. (2015). The Effects of Invention Animation on Invention Attitudes in Elementary School Students. Journal of Fisheries and Marine Sciences Education. 27(3). 634–643. 1 indexed citations
8.
Lee, Eunsang, et al.. (2014). The Effect of Regular Teacher Qualification Program on Teaching Competencies and Attitudes toward Technology Subject of Technology Teacher. Journal of Korean Practical Arts Education. 20(4). 151–172. 1 indexed citations
9.
Park, Ji‐Eun, et al.. (2009). The Association of Social Support with Health Status and Health Behavior among Rural Aged Population. Journal of agricultural medicine and community health. 34(1). 13–23. 4 indexed citations
10.
Lee, Eunsang. (2000). A study on the mirror-like grinding of die steel with optimum in-process electrolytic dressing. Journal of Materials Processing Technology. 100(1-3). 200–208. 11 indexed citations
11.
Lee, Eunsang. (2000). Surface characteristics in the precision grinding of Mn–Zn ferrite with in-process electro-discharge dressing. Journal of Materials Processing Technology. 104(3). 215–225. 8 indexed citations

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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