Gae-won You

934 citations
19 papers · 669 indexed · h-index 10
Topics
Data Management and Algorithms (9 papers)Topic Modeling (5 papers)Geographic Information Systems Studies (4 papers)

In The Last Decade

Gae-won You

18 papers receiving 649 citations

Peers

Gae-won You
Comparison fields: 5 of 49
  • Automotive Engineering 434
  • Electrical and Electronic Engineering 378
  • Signal Processing 125
  • Control and Systems Engineering 119
  • Computer Networks and Communications 115
Replace Reiner Kriesten with:
Reiner Kriesten Germany
Zoleikha Abdollahi Biron United States
Arun Raghuramu United States
Reinhard Bauer Germany
Sabine Storandt Germany
Xiuze Zhou China
Philipp Mundhenk Germany
Mee Lan Han South Korea
Rens W. van der Heijden Germany
Tuan Vuong United Kingdom
Gae-won You relative to Reiner Kriesten Germany Reiner Kriesten's profile →
Citations per field
00.5×3.6×
Reiner Kriesten · 1×
Citations per year

Countries citing papers authored by Gae-won You

Since Specialization
Citations

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

Fields of papers citing papers by Gae-won You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gae-won You. 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 Gae-won You. The network helps show where Gae-won You may publish in the future.

Co-authorship network of co-authors of Gae-won You

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 210
2 254
3 0
4 29
5 2
6
Enriching Entity Translation Discovery using Selective Temporality
4
7 21
8 18
9 7
10 11
11 5
12 16
13
Mining Name Translations from Entity Graph Mapping
13
14 1
15 4
16 11
17 57
18 1
19 5

About Gae-won You

Gae-won You is a scholar working on Signal Processing, Geography, Planning and Development and Automotive Engineering, having authored 19 papers that have together received 669 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Topic Modeling (5 papers) and Geographic Information Systems Studies (4 papers). The work is most often cited by research in Automotive Engineering (434 citations), Signal Processing (125 citations) and Geography, Planning and Development (58 citations). Gae-won You has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Dukjin Oh, Sangdo Park, Seung-won Hwang, Jongwuk Lee, Hyeonseung Im, Seung-won Hwang, Zaiqing Nie, Navendu Jain, Ji-Rong Wen and Wolf‐Tilo Balke. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Applied Energy and Information Sciences.

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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