Shengfa Wang

1.0k citations
68 papers · 777 · h-index 14

Impact in

Papers in

Shengfa Wang

61 papers receiving 759 citations

Peers

Shengfa Wang
Comparison fields: 5 of 91
  • Computer Graphics and Computer-Aided Design 51
  • Cancer Research 144
  • Automotive Engineering 83
  • Nuclear Energy and Engineering 3
  • Computational Mechanics 101
Replace Hongchuan Yu with:
Hongchuan Yu China
Zhihao Liang China
Jianjian Sun China
Yuheng Jiang China
Junbin Liu China
Yongxing Wang China
Zhenyu Tang China
Xiuhui Wang China
Rao Fu China
Zhenguo Nie China
Shengfa Wang relative to Hongchuan Yu China Hongchuan Yu's profile →
Citations per field
00.5×3.6×
Hongchuan Yu · 1×
Citations per year

Countries citing papers authored by Shengfa Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengfa Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengfa Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengfa Wang Line = papers co-authored together Shengfa Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 2020109
3 202170
4 201759
5 201939
6 200838
7 202036
8 202327
9 201524
10 201724
11 200717
12 201316
13 200815
14 202414
15 202311
16 201510
17 20139
18 20118
19 20237
20 20205

About Shengfa Wang

Shengfa Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Civil and Structural Engineering and Mechanical Engineering, having authored 68 papers that have together received 777 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Advanced Numerical Analysis Techniques (10 papers), Computer Graphics and Visualization Techniques (8 papers), Topology Optimization in Engineering (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Bone Tissue Engineering Materials (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Cancer Research (144 citations), Automotive Engineering (83 citations), Nuclear Energy and Engineering (3 citations) and Computational Mechanics (101 citations). Shengfa Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhongxuan Luo, Hai Xu, Jinfeng Zhang, Jinfeng Ning, Shidong Xu, Ligang Liu, Hao Chang, Jing Guo, Ju Wang and Fengqi Li. Their work appears in journals such as Computer-Aided Design, IEEE Transactions on Visualization and Computer Graphics, Computer Aided Geometric Design, IEEE Access and The Visual Computer.

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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