Yubao Wu

69 total papers · 719 total citations
32 papers, 450 citations indexed

About

Yubao Wu is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Yubao Wu has authored 32 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Statistical and Nonlinear Physics and 8 papers in Information Systems. Recurrent topics in Yubao Wu's work include Complex Network Analysis Techniques (9 papers), Advanced Graph Neural Networks (5 papers) and Bioinformatics and Genomic Networks (5 papers). Yubao Wu is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Advanced Graph Neural Networks (5 papers) and Bioinformatics and Genomic Networks (5 papers). Yubao Wu collaborates with scholars based in United States, China and Singapore. Yubao Wu's co-authors include Ruoming Jin, Xiang Zhang, Jing Li, Xiaofeng Zhu, Yuchen Bian, Wei Wang, Wei Cheng, Zhishan Guo, Patrick F. Sullivan and Xiaohu You and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Optical Engineering.

In The Last Decade

Yubao Wu

28 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Yubao Wu 231 190 119 107 82 32 450
Andreas Lommatzsch 288 1.2× 318 1.7× 58 0.5× 69 0.6× 115 1.4× 26 531
Sungsu Lim 187 0.8× 184 1.0× 67 0.6× 117 1.1× 73 0.9× 49 448
Alessandro Epasto 177 0.8× 204 1.1× 56 0.5× 196 1.8× 117 1.4× 26 469
Ramesh R. Sarukkai 128 0.6× 184 1.0× 88 0.7× 101 0.9× 185 2.3× 25 448
Mingming Chen 323 1.4× 175 0.9× 46 0.4× 101 0.9× 49 0.6× 30 540
Cindy Xide Lin 163 0.7× 278 1.5× 73 0.6× 144 1.3× 233 2.8× 19 493
Huawei Shen 174 0.8× 333 1.8× 61 0.5× 43 0.4× 147 1.8× 43 516
Jianrui Chen 139 0.6× 120 0.6× 67 0.6× 136 1.3× 137 1.7× 51 496
Amin Mantrach 134 0.6× 285 1.5× 98 0.8× 41 0.4× 238 2.9× 19 545
J. Y. Shi 113 0.5× 208 1.1× 83 0.7× 83 0.8× 85 1.0× 39 476

Countries citing papers authored by Yubao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yubao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yubao Wu

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