Weiwei Xu

85 total papers · 1.2k total citations
57 papers, 845 citations indexed

About

Weiwei Xu is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weiwei Xu has authored 57 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weiwei Xu's work include Matrix Theory and Algorithms (17 papers), Advanced Optimization Algorithms Research (9 papers) and 3D Shape Modeling and Analysis (7 papers). Weiwei Xu is often cited by papers focused on Matrix Theory and Algorithms (17 papers), Advanced Optimization Algorithms Research (9 papers) and 3D Shape Modeling and Analysis (7 papers). Weiwei Xu collaborates with scholars based in China, United States and Hong Kong. Weiwei Xu's co-authors include Baining Guo, Yang Liu, Yufei Li, Wenping Wang, Boyang Qu, O.D. Crisalle, Kunjie Yu, Hui Song, Caitong Yue and Jing Liang and has published in prestigious journals such as ACM Transactions on Graphics, Frontiers in Plant Science and Pattern Recognition.

In The Last Decade

Weiwei Xu

47 papers receiving 812 citations

Author Peers

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

Author Last Decade Papers Cites
Weiwei Xu 265 252 245 212 136 57 845
E. Alper Yıldırım 133 0.5× 195 0.8× 121 0.5× 237 1.1× 191 1.4× 43 921
Paul E. Plassmann 323 1.2× 82 0.3× 280 1.1× 368 1.7× 69 0.5× 47 896
Sylvain Pion 241 0.9× 167 0.7× 410 1.7× 192 0.9× 65 0.5× 34 768
Chee-Keng Yap 174 0.7× 254 1.0× 416 1.7× 218 1.0× 90 0.7× 37 740
Byung-Gook Lee 317 1.2× 296 1.2× 67 0.3× 64 0.3× 69 0.5× 74 970
Jean‐Claude Paul 442 1.7× 481 1.9× 316 1.3× 32 0.2× 24 0.2× 69 974
Ronald Goldman 730 2.8× 201 0.8× 369 1.5× 262 1.2× 32 0.2× 61 996
Miguel Saínz 321 1.2× 456 1.8× 514 2.1× 108 0.5× 109 0.8× 56 964
Ying Xiong 79 0.3× 159 0.6× 43 0.2× 335 1.6× 145 1.1× 74 988
Adrian Dumitrescu 45 0.2× 238 0.9× 399 1.6× 207 1.0× 56 0.4× 117 797

Countries citing papers authored by Weiwei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Xu

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