Jong‐Seon No

4.9k citations
244 papers · 3.6k · 1 hit paper · h-index 29

Impact in

Papers in

Jong‐Seon No

216 papers receiving 3.4k citations

Jong‐Seon No's Hit Papers

Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network 2022 · 272 citations
2720+1+2Years since publication50100150200250

Peers

Jong‐Seon No
Comparison fields: 5 of 46
  • Artificial Intelligence 1.7k
  • Electrical and Electronic Engineering 1.4k
  • Computer Networks and Communications 432
  • Discrete Mathematics and Combinatorics 15
  • Information Systems 80
Replace Pablo Piantanida with:
Pablo Piantanida France
Alexandre Graell i Amat Sweden
Ning Cai Germany
Soheil Mohajer United States
Mohammad M. Mansour Lebanon
Udaya Parampalli Australia
Tugba Erpek United States
Predrag Spasojević United States
Haibin Kan China
Martin Bossert Germany
Jong‐Seon No relative to Pablo Piantanida France Pablo Piantanida's profile →
Citations per field
00.5×2×2.7×
Pablo Piantanida · 1×
Citations per year

Countries citing papers authored by Jong‐Seon No

Since Specialization
Citations

This map shows the geographic impact of Jong‐Seon No'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 Jong‐Seon No with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Seon No more than expected).

Fields of papers citing papers by Jong‐Seon No

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Seon No. 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 Jong‐Seon No. The network helps show where Jong‐Seon No may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong‐Seon No, 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 Jong‐Seon No Line = papers co-authored together Jong‐Seon No links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network
Hit paper breakdown →
2022272
2 2013188
3 2005164
4 2006136
5 2007131
6 2009131
7 198999
8 201179
9 202178
10 199876
11 200771
12 199663
13 201761
14 202156
15 199855
16 200652
17 200351
18 202251
19 200545
20 201538

About Jong‐Seon No

Jong‐Seon No is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mechanics and Discrete Mathematics and Combinatorics, having authored 244 papers that have together received 3.6k indexed citations. Recurring topics across this work include Coding theory and cryptography (103 papers), Error Correcting Code Techniques (45 papers), PAPR reduction in OFDM (33 papers), Advanced Wireless Communication Techniques (21 papers), Cryptography and Data Security (19 papers), Cooperative Communication and Network Coding (18 papers), DNA and Biological Computing (7 papers) and Advanced MIMO Systems Optimization (6 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Electrical and Electronic Engineering (1.4k citations), Computer Networks and Communications (432 citations), Discrete Mathematics and Combinatorics (15 citations) and Information Systems (80 citations). Jong‐Seon No has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Dong‐Joon Shin, Habong Chung, Dae‐Woon Lim, Seok-Joong Heo, Joon-Woo Lee, Sang‐Hyo Kim, Ji-Woong Jang, Yongwoo Lee, P. Vijay Kumar and Eunsang Lee. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Access, IEEE Transactions on Broadcasting, IEEE Transactions on Communications and IEEE Communications Letters.

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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