Dae‐Woon Lim

1.3k citations
55 papers · 922 · h-index 15

Impact in

Papers in

Dae‐Woon Lim

50 papers receiving 861 citations

Peers

Dae‐Woon Lim
Comparison fields: 5 of 101
  • Computer Networks and Communications 329
  • Electrical and Electronic Engineering 571
  • Cognitive Neuroscience 163
  • Physical Therapy, Sports Therapy and Rehabilitation 33
  • Human-Computer Interaction 26
Replace R. Dilmaghani with:
R. Dilmaghani United Kingdom
Rami Alazrai Jordan
Aosen Wang United States
Rumen Hristov United States
Jianqing Li China
Riccardo Bernardini Italy
Wala Saadeh Pakistan
M. Miyazaki Japan
Xiao Zeng China
Te‐Son Kuo Taiwan
Dae‐Woon Lim relative to R. Dilmaghani United Kingdom R. Dilmaghani's profile →
Citations per field
00.5×7.3×
R. Dilmaghani · 1×
Citations per year

Countries citing papers authored by Dae‐Woon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Woon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Woon Lim. 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 Dae‐Woon Lim. The network helps show where Dae‐Woon Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Dae‐Woon Lim, 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 Dae‐Woon Lim Line = papers co-authored together Dae‐Woon Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005152
2 2006133
3 2009126
4 199875
5 200653
6 200835
7 200824
8 200923
9 201722
10 200821
11 202020
12 202319
13 201215
14 201615
15
New Reversible Data Hiding Scheme for Encrypted Images using Lattices
201515
16 201613
17 201313
18 201211
19 200911
20 201310

About Dae‐Woon Lim

Dae‐Woon Lim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Cognitive Neuroscience, Artificial Intelligence and Social Psychology, having authored 55 papers that have together received 922 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), PAPR reduction in OFDM (11 papers), Wireless Communication Networks Research (9 papers), Optical Network Technologies (5 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Communication Techniques (5 papers), Advanced MRI Techniques and Applications (4 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Computer Networks and Communications (329 citations), Electrical and Electronic Engineering (571 citations), Cognitive Neuroscience (163 citations), Physical Therapy, Sports Therapy and Rehabilitation (33 citations) and Human-Computer Interaction (26 citations). Dae‐Woon Lim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jong‐Seon No, Seok-Joong Heo, Habong Chung, Hyun Chung, Soon-Cheol Chung, Young Sik Kim, Mi‐Hyun Choi, Zang‐Hee Cho, Dong‐Joon Shin and Gye‐Rae Tack. Their work appears in journals such as Bio-Medical Materials and Engineering, IEEE Transactions on Broadcasting, Journal of Communications and Networks, IEEE Access and Behavior Research Methods.

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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