Wencheng Wang

167 papers receiving 1.8k citations

Peers

Wencheng Wang
Comparison fields: 5 of 173
  • Computer Vision and Pattern Recognition 348
  • Computer Graphics and Computer-Aided Design 281
  • Electrical and Electronic Engineering 262
  • Materials Chemistry 242
  • Molecular Biology 232
Replace Chun‐Cheng Lin with:
Chun‐Cheng Lin Taiwan
Yunfeng Zhang China
Xiangping Chen China
Yabin Zhang China
Jinmo Kim South Korea
Liang Pan China
Chengke Wu China
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Stefan Wagner Germany
Xue Bai China
Wencheng Wang relative to Chun‐Cheng Lin Taiwan Chun‐Cheng Lin's profile →
Citations per field
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Chun‐Cheng Lin · 1×
Citations per year

Countries citing papers authored by Wencheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wencheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wencheng Wang. A scholar is included among the top collaborators of Wencheng 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 Wencheng Wang. Wencheng Wang 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 0
3 1
4 24
5 5
6 0
7 5
8 0
9 3
10 4
11 2
12 20
13 76
14 2
15
Finding canonical views by measuring features on the viewing plane
1
16
The Relationship between Affective and Continuance Organizational Commitment
11
17
Decomposing Polygons into Stripes for Fast Rendering
3
18
Predictive Coding and Disposal of Quantized Error for Lossless Compression of Images
0
19
Femtosecond laser induced defects in various silica glasses
1
20
Construction of genetic engineering strain expressing nontoxic E coli heat-stable enterotoxin I and heat-labile enterotoxin B subunit fusion protein
0

About Wencheng Wang

Wencheng Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 189 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (51 papers), 3D Shape Modeling and Analysis (34 papers) and Computational Geometry and Mesh Generation (30 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (281 citations), Electrochemistry (113 citations) and Computer Vision and Pattern Recognition (348 citations). Wencheng Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lu Zhen, Lufei Huang, Fei Hou, Wei Sun, Enhua Wu, Chia‐Hua Lin, Shih‐Chun Candice Lung, Lingyan Yang, Fan Shi and Jing Li. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

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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