Gu-Yeon Wei

10 total papers · 571 total citations
6 papers, 440 citations indexed

About

Gu-Yeon Wei is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Gu-Yeon Wei has authored 6 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Hardware and Architecture. Recurrent topics in Gu-Yeon Wei's work include Parallel Computing and Optimization Techniques (2 papers), Robotic Path Planning Algorithms (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Gu-Yeon Wei is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Robotic Path Planning Algorithms (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Gu-Yeon Wei collaborates with scholars based in United States and China. Gu-Yeon Wei's co-authors include Xiaoyao Liang, Ramón Canal, Tianyu Jia, David J. Brooks, Coleman Hooper, Paul N. Whatmough, Thierry Tambe, Joseph D. Zuckerman, Alexander M. Rush and Vijay Janapa Reddi and has published in prestigious journals such as 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).

In The Last Decade

Gu-Yeon Wei

6 papers receiving 427 citations

Hit Papers

Optimizing NUCA Organizat... 2007 2026 2013 2019 2007 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Gu-Yeon Wei 269 230 230 64 58 6 440
Brent Keeth 252 0.9× 210 0.9× 316 1.4× 51 0.8× 41 0.7× 10 463
Aaron Stillmaker 128 0.5× 140 0.6× 217 0.9× 83 1.3× 101 1.7× 11 392
Matt Poremba 226 0.8× 218 0.9× 260 1.1× 43 0.7× 46 0.8× 11 402
Olivier Giroux 162 0.6× 115 0.5× 114 0.5× 83 1.3× 136 2.3× 10 398
Michael Bucher 185 0.7× 131 0.6× 340 1.5× 28 0.4× 69 1.2× 8 445
Ravi Jenkal 179 0.7× 146 0.6× 270 1.2× 28 0.4× 70 1.2× 9 386
Rajib Nath 327 1.2× 241 1.0× 81 0.4× 41 0.6× 50 0.9× 11 472
M. Kato 224 0.8× 222 1.0× 102 0.4× 22 0.3× 49 0.8× 8 399
Bradley Thwaites 260 1.0× 140 0.6× 304 1.3× 49 0.8× 65 1.1× 15 433
Zongwei Zhou 137 0.5× 118 0.5× 166 0.7× 80 1.3× 121 2.1× 3 397

Countries citing papers authored by Gu-Yeon Wei

Since Specialization
Citations

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

Fields of papers citing papers by Gu-Yeon Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gu-Yeon Wei. 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 Gu-Yeon Wei. The network helps show where Gu-Yeon Wei may publish in the future.

Co-authorship network of co-authors of Gu-Yeon Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Gu-Yeon Wei. A scholar is included among the top collaborators of Gu-Yeon Wei 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 Gu-Yeon Wei. Gu-Yeon Wei 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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