Lvdi Wang

17 total papers · 570 total citations
16 papers, 426 citations indexed

About

Lvdi Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Lvdi Wang has authored 16 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 8 papers in Computational Mechanics. Recurrent topics in Lvdi Wang's work include Computer Graphics and Visualization Techniques (12 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Vision and Imaging (5 papers). Lvdi Wang is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Vision and Imaging (5 papers). Lvdi Wang collaborates with scholars based in China, United States and Hong Kong. Lvdi Wang's co-authors include Kun Zhou, Baining Guo, Yanlin Weng, Edmond S. L. Ho, Menglei Chai, Li‐Yi Wei, Heung‐Yeung Shum, Yizhou Yu, Xiaogang Jin and Xin Tong and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Science China Information Sciences.

In The Last Decade

Lvdi Wang

16 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Lvdi Wang	345	251	224	40	26	16	426
Oleg Alexander	372 1.1×	79 0.3×	171 0.8×	75 1.9×	23 0.9×	23	467
Yannick Hold-Geoffroy	327 0.9×	189 0.8×	73 0.3×	14 0.3×	23 0.9×	29	410
Thomas Leimkühler	325 0.9×	198 0.8×	108 0.5×	19 0.5×	46 1.8×	25	429
Adrian Secord	253 0.7×	240 1.0×	170 0.8×	18 0.5×	6 0.2×	8	393
Lingyu Wei	386 1.1×	83 0.3×	201 0.9×	46 1.1×	12 0.5×	11	485
Marios Papas	246 0.7×	248 1.0×	161 0.7×	7 0.2×	42 1.6×	17	370
Shangzhe Wu	329 1.0×	103 0.4×	173 0.8×	24 0.6×	8 0.3×	19	427
Giljoo Nam	344 1.0×	157 0.6×	191 0.9×	14 0.3×	100 3.8×	20	478
Mark S. Peercy	204 0.6×	244 1.0×	126 0.6×	9 0.2×	29 1.1×	12	368
Christopher DeCoro	319 0.9×	370 1.5×	227 1.0×	12 0.3×	4 0.2×	13	480

Countries citing papers authored by Lvdi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lvdi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lvdi Wang

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