Enhua Wu

640 citations
52 papers · 367 indexed · h-index 10
Topics
Computer Graphics and Visualization Techniques (24 papers)3D Shape Modeling and Analysis (15 papers)Advanced Vision and Imaging (9 papers)
Partner nations
ChinaMacaoHong Kong

In The Last Decade

Enhua Wu

49 papers receiving 341 citations

Peers

Enhua Wu
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 154
  • Computer Graphics and Computer-Aided Design 140
  • Computational Mechanics 134
  • Media Technology 44
  • Artificial Intelligence 41
Replace Brian Von Herzen with:
Brian Von Herzen United States
Laurent Moll France
Jean-Sébastien Franco France
Zaiwei Zhang United States
Dandan Ding China
Mathias Paulin France
Henry Johan Singapore
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Ke Xie China
Enhua Wu relative to Brian Von Herzen United States Brian Von Herzen's profile →
Citations per field
00.5×8.6×
Brian Von Herzen · 1×
Citations per year

Countries citing papers authored by Enhua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Enhua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enhua Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 39
3 3
4 1
5 2
6 10
7 3
8
Transformer in Transformer
1
9 14
10 27
11 2
12 0
13 2
14 35
15 22
16
An improved study of real-time fluid simulation on GPU: Research Articles
3
17 4
18 63
19 7
20 2

About Enhua Wu

Enhua Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 52 papers that have together received 367 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (15 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (140 citations), Computer Vision and Pattern Recognition (154 citations) and Computational Mechanics (134 citations). Enhua Wu has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Youquan Liu, Xuehui Liu, Wencheng Wang, Jianyuan Guo, Kai Han, Jing Li, Zhi-Xin Yang, Shaohui Jiao, Sheng Li and Jianhang Zhou. Their work appears in journals such as Optics Express, Pattern Recognition and Information Sciences.

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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