Shihao Wu

43 total papers · 2.2k total citations
27 papers, 1.5k citations indexed

About

Shihao Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Shihao Wu has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Shihao Wu's work include 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (6 papers) and Hand Gesture Recognition Systems (4 papers). Shihao Wu is often cited by papers focused on 3D Shape Modeling and Analysis (9 papers), Computer Graphics and Visualization Techniques (6 papers) and Hand Gesture Recognition Systems (4 papers). Shihao Wu collaborates with scholars based in China, Switzerland and United States. Shihao Wu's co-authors include Hui Huang, Daniel Cohen‐Or, Minglun Gong, Olga Sorkine‐Hornung, Hao Zhang, Uri M. Ascher, Guiqing Li, Baoquan Chen, Yifan Wang and Cengiz Öztireli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Shihao Wu

25 papers receiving 1.4k citations

Hit Papers

Edge-aware point set resa... 2013 2026 2017 2021 2013 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
Shihao Wu 762 669 481 400 277 27 1.5k
Bailin Deng 672 0.9× 520 0.8× 431 0.9× 170 0.4× 65 0.2× 51 1.4k
Zhuwen Li 413 0.5× 994 1.5× 299 0.6× 221 0.6× 65 0.2× 28 1.6k
Lu Sheng 322 0.4× 1.4k 2.1× 130 0.3× 215 0.5× 95 0.3× 44 1.8k
Bernhard Kerbl 469 0.6× 1.1k 1.6× 649 1.3× 192 0.5× 145 0.5× 36 1.7k
Zhi‐Quan Cheng 585 0.8× 729 1.1× 256 0.5× 290 0.7× 141 0.5× 46 1.2k
Weikai Chen 580 0.8× 736 1.1× 373 0.8× 86 0.2× 22 0.1× 34 1.4k
Sagi Katz 1.2k 1.5× 1.0k 1.5× 864 1.8× 249 0.6× 189 0.7× 12 1.7k
Martin Bokeloh 612 0.8× 766 1.1× 469 1.0× 291 0.7× 146 0.5× 29 1.2k
Henrik Kretzschmar 125 0.2× 839 1.3× 204 0.4× 77 0.2× 81 0.3× 26 1.4k
Georgios Kopanas 493 0.6× 1.1k 1.6× 677 1.4× 195 0.5× 144 0.5× 9 1.7k

Countries citing papers authored by Shihao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shihao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shihao Wu. A scholar is included among the top collaborators of Shihao 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 Shihao Wu. Shihao Wu 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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