Shengfa Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in ⓘ
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- 3D Shape Modeling and Analysis 20
- Advanced Numerical Analysis Techniques 10
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- Advanced Vision and Imaging 5
- Co-authors
- Zhongxuan Luo (18 shared papers)Shidong Xu (1 shared paper)Hai Xu (1 shared paper)Jinfeng Ning (1 shared paper)Jinfeng Zhang (1 shared paper)Ligang Liu (5 shared papers)Hao Chang (3 shared papers)Zhihong Zhao (3 shared papers)
- Journals
- Computer-Aided Design (7 papers)IEEE Transactions on Visualization and Computer Graphics (4 papers)Computer Aided Geometric Design (3 papers)IEEE Access (2 papers)The Visual Computer (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shengfa Wang
55 papers receiving 671 citations
Peers
Comparison fields: 5 of 87
- Computer Graphics and Computer-Aided Design 44
- Cancer Research 154
- Nuclear Energy and Engineering 3
- Automotive Engineering 78
- Computational Mechanics 95
Countries citing papers authored by Shengfa Wang
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
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.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 131 | |
| 2 | 2020 | 99 | |
| 3 | 2021 | 62 | |
| 4 | 2017 | 58 | |
| 5 | 2008 | 37 | |
| 6 | 2019 | 35 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 2023 | 18 | |
| 11 | 2008 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2013 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2011 | 8 | |
| 18 | 2013 | 8 | |
| 19 | 2023 | 5 | |
| 20 | 2011 | 5 |
About Shengfa Wang
Shengfa Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Molecular Biology, Computer Graphics and Computer-Aided Design and Civil and Structural Engineering, having authored 62 papers that have together received 688 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Advanced Numerical Analysis Techniques (10 papers), Topology Optimization in Engineering (8 papers), Computer Graphics and Visualization Techniques (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (5 papers), Bone Tissue Engineering Materials (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (44 citations), Cancer Research (154 citations), Nuclear Energy and Engineering (3 citations), Automotive Engineering (78 citations) and Computational Mechanics (95 citations). Shengfa Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhongxuan Luo, Shidong Xu, Hai Xu, Jinfeng Ning, Jinfeng Zhang, Ligang Liu, Hao Chang, Zhihong Zhao, Ju Wang and Jing Guo. 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.