Gae-won You

24 total papers · 927 total citations
19 papers, 666 citations indexed

About

Gae-won You is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gae-won You has authored 19 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Gae-won You's work include Data Management and Algorithms (9 papers), Topic Modeling (5 papers) and Constraint Satisfaction and Optimization (4 papers). Gae-won You is often cited by papers focused on Data Management and Algorithms (9 papers), Topic Modeling (5 papers) and Constraint Satisfaction and Optimization (4 papers). Gae-won You collaborates with scholars based in South Korea, China and United States. Gae-won You's co-authors include Sangdo Park, Dukjin Oh, Seung-won Hwang, Jongwuk Lee, Hyeonseung Im, Seung-won Hwang, Zaiqing Nie, Navendu Jain, Ji-Rong Wen and Young-In Song and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Energy and Information Sciences.

In The Last Decade

Gae-won You

18 papers receiving 646 citations

Author Peers

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

Author						Papers	Cites
Gae-won You	430	377	125	118	115	19	666
Dingxiong Deng	108 0.3×	100 0.3×	113 0.9×	38 0.3×	102 0.9×	12	562
Leon Stenneth	71 0.2×	105 0.3×	98 0.8×	39 0.3×	38 0.3×	17	605
Emmanouil Koukoumidis	122 0.3×	213 0.6×	19 0.2×	92 0.8×	241 2.1×	14	645
Samuel Woo	174 0.4×	500 1.3×	169 1.4×	92 0.8×	325 2.8×	22	673
Shuoyao Wang	277 0.6×	547 1.5×	64 0.5×	223 1.9×	171 1.5×	44	793
Ulf E. Larson	132 0.3×	453 1.2×	207 1.7×	54 0.5×	313 2.7×	27	642
Thomas Stifter	183 0.4×	93 0.2×	42 0.3×	59 0.5×	51 0.4×	17	595
Yunpeng Wang	121 0.3×	504 1.3×	22 0.2×	253 2.1×	135 1.2×	31	720
Bassam Moussa	120 0.3×	365 1.0×	30 0.2×	341 2.9×	270 2.3×	26	629
Nikita Lyamin	197 0.5×	479 1.3×	19 0.2×	203 1.7×	266 2.3×	25	610

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

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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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