Byunggu Yu

552 citations
34 papers · 332 indexed · h-index 10
Topics
Data Management and Algorithms (17 papers)Advanced Database Systems and Queries (15 papers)Data Mining Algorithms and Applications (5 papers)

In The Last Decade

Byunggu Yu

34 papers receiving 300 citations

Peers

Byunggu Yu
Comparison fields: 5 of 63
  • Computer Networks and Communications 178
  • Signal Processing 157
  • Information Systems 100
  • Artificial Intelligence 96
  • Computer Vision and Pattern Recognition 58
Replace Sangmi Lee Pallickara with:
Sangmi Lee Pallickara United States
Nikos Giatrakos Greece
Julie Letchner United States
Arnold P. Boedihardjo United States
Niki Pissinou United States
Şefki Kolozali United Kingdom
Huajian Mao China
Jae‐Woo Chang South Korea
Hatem Abdul-Kader Egypt
Byunggu Yu relative to Sangmi Lee Pallickara United States Sangmi Lee Pallickara's profile →
Citations per field
00.5×1.5×
Sangmi Lee Pallickara · 1×
Citations per year

Countries citing papers authored by Byunggu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Byunggu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byunggu Yu. 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 Byunggu Yu. The network helps show where Byunggu Yu may publish in the future.

Co-authorship network of co-authors of Byunggu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Byunggu Yu. A scholar is included among the top collaborators of Byunggu Yu 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 Byunggu Yu. Byunggu Yu 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 2
2 66
3 16
4 36
5 12
6 2
7 8
8 3
9 9
10 8
11 2
12 1
13 2
14 3
15 3
16 13
17 19
18 1
19
A family of scalable spatial access methods for high-dimensional data
2
20 1

About Byunggu Yu

Byunggu Yu is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Advanced Database Systems and Queries (15 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Signal Processing (157 citations), Computer Networks and Communications (178 citations) and Information Systems (100 citations). Byunggu Yu has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Dong Hyun Jeong, Soo-Yeon Ji, Alfredo Cuzzocrea, Seon Ho Kim, T. A. Bailey, Sherali Zeadally, Lily Liang, Young Hoon Kwak, Kunhee Choi and Sharad Sharma. Their work appears in journals such as International Journal of Intelligent Systems, Information Systems and Data & Knowledge Engineering.

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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