Seong Oun Hwang

2.8k citations
155 papers · 1.8k indexed · h-index 22
Topics
Cryptography and Data Security (39 papers)Privacy-Preserving Technologies in Data (31 papers)Chaos-based Image/Signal Encryption (27 papers)

In The Last Decade

Seong Oun Hwang

146 papers receiving 1.8k citations

Peers

Seong Oun Hwang
Comparison fields: 5 of 111
  • Artificial Intelligence 804
  • Computer Vision and Pattern Recognition 772
  • Information Systems 491
  • Computer Networks and Communications 409
  • Electrical and Electronic Engineering 186
Replace Sajjad Shaukat Jamal with:
Sajjad Shaukat Jamal Saudi Arabia
Fei Chen China
Yaoliang Yu Canada
Rafik Hamza Japan
Moatsum Alawida United Arab Emirates
Bassem Abd-El-Atty Egypt
Kouichi Sakurai Japan
Hongyang Yan China
Markus Weimer United States
Seong Oun Hwang relative to Sajjad Shaukat Jamal Saudi Arabia Sajjad Shaukat Jamal's profile →
Citations per field
00.5×10×15×20×23.5×
Sajjad Shaukat Jamal · 1×
Citations per year

Countries citing papers authored by Seong Oun Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Seong Oun Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong Oun Hwang. 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 Seong Oun Hwang. The network helps show where Seong Oun Hwang may publish in the future.

Co-authorship network of co-authors of Seong Oun Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Seong Oun Hwang. A scholar is included among the top collaborators of Seong Oun Hwang 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 Seong Oun Hwang. Seong Oun Hwang 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 0
2 4
3 1
4 3
5 9
6 1
7 3
8 2
9 2
10 1
11 7
12 11
13 35
14 6
15 1
16
An Efficient Anonymous Identity-Based Broadcast Encryption for Large-Scale Wireless Sensor Networks.
6
17 18
18 6
19
Development of Rhythm Game based on Object-Oriented Software Engineering
0
20
On the Security Proof of the Cramer-Shoup Public Key Cryptosystem
1

About Seong Oun Hwang

Seong Oun Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, having authored 155 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (39 papers), Privacy-Preserving Technologies in Data (31 papers) and Chaos-based Image/Signal Encryption (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Artificial Intelligence (804 citations) and Information Systems (491 citations). Seong Oun Hwang has collaborated with scholars based in South Korea, Pakistan and Malaysia. Frequent co-authors include Jawad Ahmad, Abdul Majeed, Wai‐Kong Lee, Safiullah Khan, Jan Sher Khan, B. D. Deebak, Muazzam A. Khan, Junbeom Hur, Chan‐Il Park and Syh‐Yuan Tan. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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