Shengyin Wang

1.4k total citations
21 papers, 1.1k citations indexed

About

Shengyin Wang is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Shengyin Wang has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 7 papers in Mechanics of Materials and 7 papers in Computational Mechanics. Recurrent topics in Shengyin Wang's work include Topology Optimization in Engineering (13 papers), Advanced Numerical Analysis Techniques (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Shengyin Wang is often cited by papers focused on Topology Optimization in Engineering (13 papers), Advanced Numerical Analysis Techniques (7 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Shengyin Wang collaborates with scholars based in Hong Kong, Singapore and China. Shengyin Wang's co-authors include Michael Yu Wang, Zhen Luo, Peng Wei, Liyong Tong, Yu Liu, Yaoli Wang, Zhou Huang, Fan Zhang, Ximeng Cheng and Di Zhu and has published in prestigious journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and IEEE Transactions on Robotics.

In The Last Decade

Shengyin Wang

20 papers receiving 1.1k citations

Peers

Shengyin Wang

CSE

CTM

TRANS

Yoshihiro Kanno Japan

A. Rama Mohan Rao India

Eysa Salajegheh Iran

Daniële Peri Italy

Hadi Meidani United States

H. Rahami Iran

J. Salajegheh Iran

Rajan Filomeno Coelho Belgium

Catherine Knopf‐Lenoir France

Yoshihiro Kanno Japan

Shengyin Wang

1.1k ×1.2

CSE

303 ×0.5

483 ×1.1

CTM

151 ×0.6

6 ×0.1

TRANS

Citations per year, relative to Shengyin Wang Shengyin Wang (= 1×) peers Yoshihiro Kanno

Countries citing papers authored by Shengyin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shengyin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengyin Wang. A scholar is included among the top collaborators of Shengyin 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 Shengyin Wang. Shengyin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Shengyin, Matteo Leonetti, & Mehmet R. Doğar. (2025). Goal-Conditioned Model Simplification for 1-D and 2-D Deformable Object Manipulation. IEEE Transactions on Robotics. 41. 4023–4040.

Liu, Yu, Shengyin Wang, Xuechen Wang, et al.. (2024). Towards semantic enrichment for spatial interactions. Annals of GIS. 30(2). 151–166. 5 indexed citations

Wang, Shengyin, et al.. (2023). Goal-Conditioned Action Space Reduction for Deformable Object Manipulation. 3623–3630. 3 indexed citations

Zhu, Di, Fan Zhang, Shengyin Wang, et al.. (2020). Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks. Annals of the American Association of Geographers. 110(2). 408–420. 106 indexed citations

Long, Teng, et al.. (2019). Distributed Trajectory Generation for Multi-Quadrotors Using Receding Horizon Control and Sequential Convex Programming. 837–841. 2 indexed citations

Wang, Shengyin, Kian Meng Lim, Boo Cheong Khoo, & Michael Yu Wang. (2008). A Hybrid Sensitivity Filtering Method for Topology Optimization. Computer Modeling in Engineering & Sciences. 24(1). 21–50. 4 indexed citations

Wang, Shengyin, Kian Meng Lim, Boo Cheong Khoo, & Michael Yu Wang. (2007). An Unconditionally Time-Stable Level Set Method and its Application to Shape and Topology Optimization. Computer Modeling in Engineering & Sciences. 21(1). 1–40. 8 indexed citations

Wang, Shengyin, Kian Meng Lim, Boo Cheong Khoo, & Michael Yu Wang. (2007). A Geometric Deformation Constrained Level Set Method for Structural Shape and Topology Optimization. Computer Modeling in Engineering & Sciences. 18(3). 155–182. 12 indexed citations

Wang, Shengyin, Kian Meng Lim, Boo Cheong Khoo, & Michael Yu Wang. (2007). On Hole Nucleation in Topology Optimization Using the Level Set Methods. Computer Modeling in Engineering & Sciences. 21(3). 219–238. 9 indexed citations

10.

Luo, Zhen, Michael Yu Wang, Shengyin Wang, & Peng Wei. (2007). A level set‐based parameterization method for structural shape and topology optimization. International Journal for Numerical Methods in Engineering. 76(1). 1–26. 235 indexed citations

11.

Luo, Zhen, Liyong Tong, Michael Yu Wang, & Shengyin Wang. (2007). Shape and topology optimization of compliant mechanisms using a parameterization level set method. Journal of Computational Physics. 227(1). 680–705. 187 indexed citations

12.

Wang, Shengyin & Michael Yu Wang. (2006). Structural Shape and Topology Optimization Using an Implicit Free Boundary Parametrization Method. Computer Modeling in Engineering & Sciences. 13(2). 119–148. 39 indexed citations

13.

Xia, Qi, Michael Yu Wang, Shengyin Wang, & Shikui Chen. (2006). Semi-Lagrange method for level-set-based structural topology and shape optimization. Structural and Multidisciplinary Optimization. 31(6). 419–429. 40 indexed citations

14.

Wang, Shengyin & Michael Yu Wang. (2005). Radial basis functions and level set method for structural topology optimization. International Journal for Numerical Methods in Engineering. 65(12). 2060–2090. 288 indexed citations

15.

Chen, Shikui, Michael Yu Wang, Shengyin Wang, & Qi Xia. (2005). Optimal Synthesis of Compliant Mechanisms Using a Connectivity Preserving Level Set Method. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 51–60. 12 indexed citations

16.

Wang, Michael Yu & Shengyin Wang. (2005). Bilateral filtering for structural topology optimization. International Journal for Numerical Methods in Engineering. 63(13). 1911–1938. 61 indexed citations

17.

Wang, Shengyin, et al.. (2005). A moving superimposed finite element method for structural topology optimization. International Journal for Numerical Methods in Engineering. 65(11). 1892–1922. 66 indexed citations

18.

Wang, Shengyin & Kang Tai. (2004). A Constraint Handling Strategy for Bit-Array Representation GA in Structural Topology Optimization. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

19.

Wang, Shengyin, Ser Tong Quek, & Kok Keng Ang. (2002). <title>Optimal placement of piezoelectric sensor/actuator pairs for vibration control of composite plates</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4693. 461–471. 4 indexed citations

20.

Wang, Shengyin, Ser Tong Quek, & Kok Keng Ang. (2001). <title>LQR vibration control of piezoelectric composite plates</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4235. 375–386. 3 indexed citations

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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