WaiChing Sun
About
WaiChing Sun is a scholar working on Mechanics of Materials, Computational Mechanics and Statistical and Nonlinear Physics.
According to data from OpenAlex, WaiChing Sun has authored 122 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Mechanics of Materials, 46 papers in Computational Mechanics and 29 papers in Statistical and Nonlinear Physics. Recurrent topics in WaiChing Sun's work include Model Reduction and Neural Networks (28 papers), Numerical methods in engineering (28 papers) and Rock Mechanics and Modeling (25 papers). WaiChing Sun is often cited by papers focused on Model Reduction and Neural Networks (28 papers), Numerical methods in engineering (28 papers) and Rock Mechanics and Modeling (25 papers). WaiChing Sun collaborates with scholars based in United States, Germany and China. WaiChing Sun's co-authors include Nikolaos N. Vlassis, Kun Wang, Jinhyun Choo, Eric C. Bryant, Ran Ma, SeonHong Na, Yousef Heider, Hyoung Suk Suh, John W. Rudnicki and Jakob T. Ostien and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.
In The Last Decade
WaiChing Sun
118 papers receiving 3.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| WaiChing Sun United States | 37 | 2.2k | 1.1k | 979 | 721 | 695 | 122 | 3.9k | ||
| Cosmin Anitescu Germany | 28 | 2.4k 1.1× | 1.6k 1.5× | 1.3k 1.3× | 617 0.9× | 835 1.2× | 62 | 4.5k | ||
| Sergio R. Idelsohn Spain | 41 | 2.6k 1.2× | 4.7k 4.5× | 1.7k 1.7× | 376 0.5× | 522 0.8× | 212 | 6.6k | ||
| Antonio Huerta Spain | 42 | 2.6k 1.2× | 3.6k 3.3× | 980 1.0× | 834 1.2× | 545 0.8× | 185 | 5.8k | ||
| Y.T. Feng United Kingdom | 38 | 1.5k 0.7× | 2.3k 2.2× | 1.7k 1.7× | 97 0.1× | 664 1.0× | 174 | 4.5k | ||
| José E. Andrade United States | 34 | 1.3k 0.6× | 1.5k 1.4× | 2.3k 2.4× | 100 0.1× | 644 0.9× | 134 | 4.2k | ||
| Julien Réthoré France | 38 | 2.7k 1.3× | 709 0.7× | 1.3k 1.3× | 105 0.1× | 1.4k 2.0× | 120 | 4.6k | ||
| Chenfeng Li China | 30 | 1.5k 0.7× | 743 0.7× | 943 1.0× | 85 0.1× | 790 1.1× | 151 | 3.3k | ||
| Khader M. Hamdia Germany | 17 | 1.1k 0.5× | 276 0.3× | 1.0k 1.1× | 346 0.5× | 537 0.8× | 24 | 2.7k | ||
| Adnan Ibrahimbegović France | 41 | 3.9k 1.8× | 1.1k 1.0× | 2.8k 2.8× | 117 0.2× | 801 1.2× | 236 | 6.5k | ||
| Esteban Samaniego Ecuador | 21 | 1.3k 0.6× | 492 0.5× | 724 0.7× | 341 0.5× | 488 0.7× | 48 | 2.7k |
Countries citing papers authored by WaiChing Sun
Since
Specialization
Citations
This map shows the geographic impact of WaiChing Sun'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 WaiChing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WaiChing Sun more than expected).
Fields of papers citing papers by WaiChing Sun
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by WaiChing Sun. 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 WaiChing Sun. The network helps show where WaiChing Sun may publish in the future.
Co-authorship network of co-authors of WaiChing Sun
This figure shows the co-authorship network connecting the top 25 collaborators of WaiChing Sun. A scholar is included among the top collaborators of WaiChing Sun 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 WaiChing Sun. WaiChing Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Sun, WaiChing, et al.. (2025). HYDRA: Symbolic feature engineering of overparameterized Eulerian hyperelasticity models for fast inference time. Computer Methods in Applied Mechanics and Engineering. 437. 117792–117792.
2.
Sun, WaiChing, et al.. (2025). Coupled thermo-hydro-mechanical analysis of multi-stage artificial ground freezing for tunneling. A case study for sequential versus simultaneous freezing. Computers and Geotechnics. 185. 107291–107291.
3.
Cai, Hong, et al.. (2025). Analytical solutions for Cook’s membrane inferred by open-source learning algorithms: A critical assessment of the expressivity-complexity trade-off. Finite Elements in Analysis and Design. 252. 104466–104466.
4.
Kalina, Karl A., et al.. (2024). Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria. Computer Methods in Applied Mechanics and Engineering. 421. 116739–116739.
5.
Vlassis, Nikolaos N., WaiChing Sun, Khalid A. Alshibli, & Richard A. Regueiro. (2024). Synthesizing realistic sand assemblies with denoising diffusion in latent space. International Journal for Numerical and Analytical Methods in Geomechanics. 48(16). 3933–3956.
6.
Jian, Wu-Rong, et al.. (2024). Prediction of yield surface of single crystal copper from discrete dislocation dynamics and geometric learning. Journal of the Mechanics and Physics of Solids. 186. 105577–105577.
7.
Sun, WaiChing, et al.. (2024). A MPM Lagrangian‐Eulerian hydrocode for simulating buried explosions in transversely isotropic geomaterials. International Journal for Numerical and Analytical Methods in Geomechanics. 48(8). 2128–2151.
8.
Ma, Ran, et al.. (2023). Geometric learning for computational mechanics, Part III: Physics-constrained response surface of geometrically nonlinear shells. Computer Methods in Applied Mechanics and Engineering. 415. 116219–116219.
9.
Vlassis, Nikolaos N., et al.. (2023). Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. Computational Mechanics. 72(1). 95–124.
10.
Xiong, Zeyu, et al.. (2023). A neural kernel method for capturing multiscale high-dimensional micromorphic plasticity of materials with internal structures. Computer Methods in Applied Mechanics and Engineering. 416. 116317–116317.
11.
Vlassis, Nikolaos N. & WaiChing Sun. (2022). Geometric learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity. Computer Methods in Applied Mechanics and Engineering. 404. 115768–115768.
12.
Ma, Ran, WaiChing Sun, Catalin R. Picu, & Thomas D. Sewell. (2022). Domain partitioning material point method for simulating shock in polycrystalline energetic materials. Computer Methods in Applied Mechanics and Engineering. 404. 115815–115815.
13.
Vlassis, Nikolaos N., et al.. (2022). Molecular dynamics inferred transfer learning models for finite‐strain hyperelasticity of monoclinic crystals: Sobolev training and validations against physical constraints. International Journal for Numerical Methods in Engineering. 123(17). 3922–3949.
14.
Vlassis, Nikolaos N. & WaiChing Sun. (2021). Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening. Computer Methods in Applied Mechanics and Engineering. 377. 113695–113695.
15.
Vlassis, Nikolaos N., Ran Ma, & WaiChing Sun. (2020). Geometric deep learning for computational mechanics Part I: anisotropic hyperelasticity. Computer Methods in Applied Mechanics and Engineering. 371. 113299–113299.
16.
Ma, Ran & WaiChing Sun. (2020). Phase field modeling of coupled crystal plasticity and deformation twinning in polycrystals with monolithic and splitting solvers. International Journal for Numerical Methods in Engineering. 122(4). 1167–1189.
17.
Bryant, Eric C. & WaiChing Sun. (2019). A Micromorphic Critical State Plasticity Model for Capturing the Size-Dependent Anisotropic Effect of Shale, Clay, and Mudstone. 53rd U.S. Rock Mechanics/Geomechanics Symposium.
18.
Sun, WaiChing, et al.. (2019). A Multi-Phase-Field/polycrystal Plasticity for Rock Salt: Micromorphic Regularized Grain-Boundary Slip. 53rd U.S. Rock Mechanics/Geomechanics Symposium.
19.
Na, SeonHong, WaiChing Sun, Mathew Ingraham, & Hongkyu Yoon. (2017). Effects of spatial heterogeneity and material anisotropy on the fracture pattern and macroscopic effective toughness of Mancos Shale in Brazilian tests. Journal of Geophysical Research Solid Earth. 122(8). 6202–6230.
20.
Salinger, Andrew G., Xujiao Gao, Glen Hansen, et al.. (2013). Albany: A Component-Based Partial Differential Equation Code Built on Trilinos.. ACM Transactions on Mathematical Software.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Cosmin Anitescu Breakdown of academic impact, for papers by Sergio R. Idelsohn Breakdown of academic impact, for papers by Antonio Huerta Breakdown of academic impact, for papers by Y.T. Feng Breakdown of academic impact, for papers by José E. Andrade Breakdown of academic impact, for papers by Julien Réthoré Breakdown of academic impact, for papers by Chenfeng Li Breakdown of academic impact, for papers by Khader M. Hamdia Breakdown of academic impact, for papers by Adnan Ibrahimbegović Breakdown of academic impact, for papers by Esteban Samaniego