Dae-Seung Yoo

45 total papers · 579 total citations
31 papers, 368 citations indexed

About

Dae-Seung Yoo is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Dae-Seung Yoo has authored 31 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Control and Systems Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Dae-Seung Yoo's work include IoT Networks and Protocols (5 papers), Industrial Automation and Control Systems (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Dae-Seung Yoo is often cited by papers focused on IoT Networks and Protocols (5 papers), Industrial Automation and Control Systems (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Dae-Seung Yoo collaborates with scholars based in South Korea, Vietnam and Singapore. Dae-Seung Yoo's co-authors include Woo-Sung Jung, Jong-Myon Kim, Dongkoo Shon, Hoon Oh, Kichang Im, Vũ Văn Tấn, Byungtae Jang, Tiến Hoa Nguyễn, Tae Hyun Yoon and Hyun‐Kyun Choi and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Dae-Seung Yoo

29 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dae-Seung Yoo 175 95 86 45 44 31 368
G. Benet 129 0.7× 90 0.9× 77 0.9× 61 1.4× 46 1.0× 37 432
Francisco Blanes 94 0.5× 121 1.3× 96 1.1× 71 1.6× 48 1.1× 50 446
Enrique Santiso 151 0.9× 64 0.7× 103 1.2× 56 1.2× 20 0.5× 41 412
Zhicheng Hou 66 0.4× 103 1.1× 183 2.1× 48 1.1× 29 0.7× 30 339
Mukhtiar Ali Unar 89 0.5× 97 1.0× 80 0.9× 44 1.0× 22 0.5× 49 391
Deokwoo Jung 199 1.1× 88 0.9× 62 0.7× 32 0.7× 47 1.1× 21 377
Hrvoje Džapo 106 0.6× 51 0.5× 35 0.4× 29 0.6× 64 1.5× 36 369
Juelong Li 90 0.5× 94 1.0× 87 1.0× 27 0.6× 19 0.4× 36 386
Jiaoying Huang 220 1.3× 53 0.6× 102 1.2× 35 0.8× 49 1.1× 42 437
Andrzej Kos 166 0.9× 37 0.4× 56 0.7× 70 1.6× 71 1.6× 62 395

Countries citing papers authored by Dae-Seung Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Seung Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Seung Yoo. 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-Seung Yoo. The network helps show where Dae-Seung Yoo may publish in the future.

Co-authorship network of co-authors of Dae-Seung Yoo

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

All Works

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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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