Rundi Wu

27 total papers · 1.2k total citations
8 papers, 506 citations indexed

About

Rundi Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Rundi Wu has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Rundi Wu's work include Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Speech and Audio Processing (2 papers). Rundi Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Speech and Audio Processing (2 papers). Rundi Wu collaborates with scholars based in United States, United Kingdom and China. Rundi Wu's co-authors include Ruoshi Liu, Sergey Zakharov, Carl Vondrick, Pavel Tokmakov, Basile Van Hoorick, Changxi Zheng, Chang Xiao, Kai Xu, Baoquan Chen and Yixin Zhuang and has published in prestigious journals such as ACM Transactions on Graphics, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.

In The Last Decade

Rundi Wu

8 papers receiving 495 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Rundi Wu 307 258 216 76 62 8 506
R. R. Martin 233 0.8× 311 1.2× 204 0.9× 49 0.6× 113 1.8× 20 582
Nikhil Gagvani 465 1.5× 381 1.5× 228 1.1× 36 0.5× 35 0.6× 14 613
Naty Hoffman 312 1.0× 138 0.5× 251 1.2× 45 0.6× 16 0.3× 14 551
Brian Bramer 243 0.8× 192 0.7× 246 1.1× 22 0.3× 22 0.4× 8 526
Peter R. Atherton 220 0.7× 192 0.7× 355 1.6× 26 0.3× 35 0.6× 11 469
Arthur Appel 301 1.0× 229 0.9× 384 1.8× 37 0.5× 22 0.4× 14 544
Jeremy Reizenstein 447 1.5× 255 1.0× 192 0.9× 83 1.1× 12 0.2× 7 575
Yuliy Schwartzburg 112 0.4× 221 0.9× 221 1.0× 65 0.9× 61 1.0× 7 456
Yong Tsui Lee 217 0.7× 162 0.6× 189 0.9× 41 0.5× 45 0.7× 19 447
William Thibault 265 0.9× 122 0.5× 321 1.5× 23 0.3× 34 0.5× 6 479

Countries citing papers authored by Rundi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Rundi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rundi Wu

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

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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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