Chenglei Wu

29 papers receiving 1.4k citations

Hit Papers

Real-time non-rigid reconstruction using an RGB-D camera2014202620182022201450100150200250

Peers

Chenglei Wu
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Mechanics 645
  • Computer Graphics and Computer-Aided Design 442
  • Aerospace Engineering 218
  • Geology 158
Replace Forrester Cole with:
Forrester Cole United States
Thorsten Thormählen Germany
Thibaut Weise Switzerland
Youyi Zheng China
Tiberiu Popa Canada
Graham Fyffe United States
Kiran Varanasi Germany
Brian Amberg Switzerland
Wan‐Chun Ma United States
Zeng Huang United States
Chenglei Wu relative to Forrester Cole United States Forrester Cole's profile →
Citations per field
00.5×2.7×
Forrester Cole · 1×
Citations per year

Countries citing papers authored by Chenglei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglei Wu. A scholar is included among the top collaborators of Chenglei 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 Chenglei Wu. Chenglei 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 2
2 13
3 28
4 3
5 34
6
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
4
7 45
8 9
9 24
10 5
11 65
12 50
13 64
14 28
15 84
16 28
17 138
18 99
19 97
20 55

About Chenglei Wu

Chenglei Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (18 papers), 3D Shape Modeling and Analysis (17 papers) and Computer Graphics and Visualization Techniques (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (442 citations), Computer Vision and Pattern Recognition (1.3k citations) and Computational Mechanics (645 citations). Chenglei Wu has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Christian Theobalt, Michael Zollhöfer, Matthias Nießner, Marc Stamminger, Pablo Garrido, Yaser Sheikh, Shahram Izadi, Bennett Wilburn, Levi Valgaerts and Hans‐Peter Seidel. Their work appears in journals such as ACM Transactions on Graphics, Journal of Prosthetic Dentistry and IEEE Transactions on Visualization and Computer Graphics.

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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