Shengjun Liu
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
Papers in
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- Advanced Numerical Analysis Techniques 25
- 3D Shape Modeling and Analysis 22
- Fluid Dynamics and Turbulent Flows 4
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- Image Retrieval and Classification Techniques 6
- Medical Image Segmentation Techniques 4
- Co-authors
- Charlie C. L. Wang (6 shared papers)Xinru Liu (22 shared papers)Bilal Ali (3 shared papers)Ling Hu (12 shared papers)Yuansheng Zhou (3 shared papers)Jun Wang (2 shared papers)Guido Brunnett (2 shared papers)Yuanpeng Zhu (5 shared papers)
In The Last Decade
Shengjun Liu
48 papers receiving 456 citations
Peers
Comparison fields: 5 of 62
- Computer Graphics and Computer-Aided Design 114
- Computational Mechanics 262
- Geology 42
- Computer Vision and Pattern Recognition 121
- Industrial and Manufacturing Engineering 45
Countries citing papers authored by Shengjun Liu
This map shows the geographic impact of Shengjun Liu'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 Shengjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Liu more than expected).
Fields of papers citing papers by Shengjun Liu
This network shows the impact of papers produced by Shengjun Liu. 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 Shengjun Liu. The network helps show where Shengjun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun Liu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 40 | |
| 2 | 2012 | 35 | |
| 3 | 2016 | 33 | |
| 4 | 2016 | 30 | |
| 5 | 2023 | 29 | |
| 6 | 2024 | 27 | |
| 7 | 2010 | 26 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2018 | 16 | |
| 11 | 2008 | 16 | |
| 12 | 2014 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 7 |
About Shengjun Liu
Shengjun Liu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Mechanical Engineering and Biomedical Engineering, having authored 54 papers that have together received 467 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (25 papers), 3D Shape Modeling and Analysis (22 papers), Computer Graphics and Visualization Techniques (15 papers), Nanofluid Flow and Heat Transfer (6 papers), Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (4 papers), Heat Transfer Mechanisms (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (114 citations), Computational Mechanics (262 citations), Geology (42 citations), Computer Vision and Pattern Recognition (121 citations) and Industrial and Manufacturing Engineering (45 citations). Shengjun Liu has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Charlie C. L. Wang, Xinru Liu, Bilal Ali, Ling Hu, Yuansheng Zhou, Jun Wang, Guido Brunnett, Yuanpeng Zhu, Jinyuan Tang and Md Irfanul Haque Siddiqui. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Journal of Computing and Information Science in Engineering, Computer-Aided Design and Computers & 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.