Shingyu Leung

1.5k total citations
66 papers, 1.1k citations indexed

About

Shingyu Leung is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Mathematical Physics. According to data from OpenAlex, Shingyu Leung has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Mechanics, 17 papers in Statistical and Nonlinear Physics and 15 papers in Mathematical Physics. Recurrent topics in Shingyu Leung's work include Numerical methods in inverse problems (14 papers), Seismic Imaging and Inversion Techniques (11 papers) and Numerical methods for differential equations (11 papers). Shingyu Leung is often cited by papers focused on Numerical methods in inverse problems (14 papers), Seismic Imaging and Inversion Techniques (11 papers) and Numerical methods for differential equations (11 papers). Shingyu Leung collaborates with scholars based in Hong Kong, United States and China. Shingyu Leung's co-authors include Jianliang Qian, Hongkai Zhao, Robert Burridge, Victor Isakov, Tony F. Chan, Ke Wei, Jian‐Feng Cai, Wenbin Li, Roland Glowinski and John Lowengrub and has published in prestigious journals such as Journal of Computational Physics, Geophysics and Geophysical Journal International.

In The Last Decade

Shingyu Leung

59 papers receiving 970 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shingyu Leung Hong Kong 18 410 291 208 182 120 66 1.1k
Jingwei Hu United States 19 385 0.9× 396 1.4× 171 0.8× 69 0.4× 71 0.6× 64 1.2k
Bo Han China 21 197 0.5× 292 1.0× 664 3.2× 455 2.5× 138 1.1× 181 1.8k
Anne Gelb United States 23 666 1.6× 75 0.3× 134 0.6× 328 1.8× 179 1.5× 85 1.6k
Miguel Moscoso Spain 24 311 0.8× 61 0.2× 161 0.8× 166 0.9× 141 1.2× 72 1.7k
Édouard Oudet France 18 183 0.4× 454 1.6× 40 0.2× 148 0.8× 54 0.5× 51 1.2k
Armin Iske Germany 18 597 1.5× 73 0.3× 52 0.3× 64 0.4× 80 0.7× 61 1.1k
Oliver G. Ernst Germany 18 357 0.9× 155 0.5× 178 0.9× 39 0.2× 254 2.1× 39 1.3k
Giovanni Alberti Italy 23 222 0.5× 53 0.2× 85 0.4× 406 2.2× 69 0.6× 86 1.7k
Rosemary A. Renaut United States 24 297 0.7× 253 0.9× 20 0.1× 152 0.8× 158 1.3× 92 1.3k
Stephan Dahlke Germany 23 461 1.1× 230 0.8× 41 0.2× 296 1.6× 119 1.0× 88 1.4k

Countries citing papers authored by Shingyu Leung

Since Specialization
Citations

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

Fields of papers citing papers by Shingyu Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingyu Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Shingyu Leung. A scholar is included among the top collaborators of Shingyu Leung 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 Shingyu Leung. Shingyu Leung 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
1.
Leung, Shingyu, et al.. (2025). An Eulerian variance-based finite-time Lyapunov exponent (vFTLE) approach for flows with uncertainties. Journal of Computational Physics. 541. 114353–114353.
2.
Leung, Shingyu, et al.. (2024). SLERP-TVDRK (STVDRK) Methods for Ordinary Differential Equations on Spheres. Journal of Scientific Computing. 101(3). 1 indexed citations
3.
Liu, Hao, Shingyu Leung, & Jianliang Qian. (2024). Operator-Splitting/Finite Element Methods for the Minkowski Problem. SIAM Journal on Scientific Computing. 46(5). A3230–A3257.
4.
Leung, Shingyu, et al.. (2023). Sparse subsampling of flow measurements for finite-time Lyapunov exponent in domains with obstacles. Journal of Computational and Applied Mathematics. 431. 115255–115255.
5.
Liu, Hao, Shingyu Leung, & Jianliang Qian. (2022). An efficient operator-splitting method for the eigenvalue problem of the Monge-Ampère equation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2022.
6.
Leung, Shingyu, et al.. (2021). Liouville partial-differential-equation methods for computing 2D complex multivalued eikonals in attenuating media. Geophysics. 87(2). T71–T84. 1 indexed citations
7.
Qian, Jianliang, et al.. (2021). Ray-illumination compensation for adjoint-state first-arrival traveltime tomography. Geophysics. 86(5). U109–U119. 14 indexed citations
8.
Qian, Jianliang, et al.. (2021). Eulerian partial-differential-equation methods for complex-valued eikonals in attenuating media. Geophysics. 86(4). T179–T192. 2 indexed citations
9.
Leung, Shingyu, et al.. (2021). Eulerian algorithms for computing some Lagrangian flow network quantities. Journal of Computational Physics. 445. 110620–110620. 4 indexed citations
10.
Leung, Shingyu, et al.. (2020). Fast Construction of Forward Flow Maps using Eulerian Based Interpolation Schemes. Journal of Scientific Computing. 82(2). 6 indexed citations
11.
Liu, Hao, Roland Glowinski, Shingyu Leung, & Jianliang Qian. (2019). A Finite Element/Operator-Splitting Method for the Numerical Solution of the Three Dimensional Monge–Ampère Equation. Journal of Scientific Computing. 81(3). 2271–2302. 13 indexed citations
12.
Glowinski, Roland, Shingyu Leung, & Jianliang Qian. (2016). Operator-Splitting Based Fast Sweeping Methods for Isotropic Wave Propagation in a Moving Fluid. SIAM Journal on Scientific Computing. 38(2). A1195–A1223. 13 indexed citations
13.
Leung, Shingyu, et al.. (2014). A cell based particle method for modeling dynamic interfaces. Journal of Computational Physics. 272. 279–306. 7 indexed citations
14.
Liu, Jun, Xue‐Cheng Tai, Shingyu Leung, & Haiyang Huang. (2014). A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions. Journal of Visual Communication and Image Representation. 25(6). 1472–1488. 5 indexed citations
15.
Leung, Shingyu & Jianliang Qian. (2010). The backward phase flow and FBI-transform-based Eulerian Gaussian beams for the Schrödinger equation. Journal of Computational Physics. 229(23). 8888–8917. 23 indexed citations
16.
Leung, Shingyu, John Lowengrub, & Hongkai Zhao. (2010). A grid based particle method for solving partial differential equations on evolving surfaces and modeling high order geometrical motion. Journal of Computational Physics. 230(7). 2540–2561. 49 indexed citations
17.
Leung, Shingyu & Hongkai Zhao. (2009). A grid based particle method for moving interface problems. Journal of Computational Physics. 228(8). 2993–3024. 57 indexed citations
18.
Leung, Shingyu & Hongkai Zhao. (2009). A grid based particle method for evolution of open curves and surfaces. Journal of Computational Physics. 228(20). 7706–7728. 18 indexed citations
19.
Leung, Shingyu & Jianliang Qian. (2009). Eulerian Gaussian beams for Schrödinger equations in the semi-classical regime. Journal of Computational Physics. 228(8). 2951–2977. 51 indexed citations
20.
Leung, Shingyu, Jianliang Qian, & Robert Burridge. (2007). Eulerian Gaussian beams for high-frequency wave propagation. Geophysics. 72(5). SM61–SM76. 72 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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