Wenjun Ying

632 total citations
49 papers, 396 citations indexed

About

Wenjun Ying is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Wenjun Ying has authored 49 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 16 papers in Electrical and Electronic Engineering and 14 papers in Mechanics of Materials. Recurrent topics in Wenjun Ying's work include Advanced Numerical Methods in Computational Mathematics (19 papers), Electromagnetic Simulation and Numerical Methods (14 papers) and Numerical methods in engineering (14 papers). Wenjun Ying is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (19 papers), Electromagnetic Simulation and Numerical Methods (14 papers) and Numerical methods in engineering (14 papers). Wenjun Ying collaborates with scholars based in China, United States and North Korea. Wenjun Ying's co-authors include Craig S. Henriquez, Weicheng Wang, J. Thomas Beale, Shuwang Li, Houde Han, John A. Trangenstein, Min Tang, Donald J. Rose, Zhongyi Huang and Jiwei Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Wenjun Ying

42 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjun Ying China 12 180 116 112 76 74 49 396
Micol Pennacchio Italy 11 123 0.7× 48 0.4× 43 0.4× 49 0.6× 22 0.3× 24 425
Feng Jia Germany 12 110 0.6× 88 0.8× 57 0.5× 19 0.3× 126 1.7× 36 486
Michael Kühn Germany 11 148 0.8× 152 1.3× 55 0.5× 11 0.1× 139 1.9× 34 391
Andrew Gillette United States 10 133 0.7× 50 0.4× 80 0.7× 4 0.1× 17 0.2× 21 247
Matthias Bolten Germany 9 140 0.8× 73 0.6× 20 0.2× 72 0.9× 54 0.7× 39 310
Xiaoxia Li China 11 18 0.1× 77 0.7× 24 0.2× 38 0.5× 48 0.6× 33 417
Daniele Andreucci Italy 19 100 0.6× 30 0.3× 205 1.8× 52 0.7× 4 0.1× 78 1.0k
K.T. Ng United States 9 20 0.1× 164 1.4× 25 0.2× 12 0.2× 27 0.4× 46 316
E.N. Aksan Türkiye 8 131 0.7× 25 0.2× 108 1.0× 235 3.1× 16 0.2× 14 446
Rachid Ait-Haddou Canada 11 114 0.6× 7 0.1× 11 0.1× 30 0.4× 20 0.3× 32 361

Countries citing papers authored by Wenjun Ying

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Ying. A scholar is included among the top collaborators of Wenjun Ying 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 Wenjun Ying. Wenjun Ying 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.
Ying, Wenjun, et al.. (2025). A low-dissipation reconstruction scheme for compressible single- and multi-phase flows based on artificial neural networks. Journal of Computational Physics. 530. 113894–113894.
2.
Li, Yifei, et al.. (2024). A stabilized parametric finite element method for surface diffusion with an arbitrary surface energy. Journal of Computational Physics. 523. 113605–113605.
3.
Yao, Cheng‐Bao, et al.. (2024). Physics-informed data-driven cavitation model for a specific Mie–Grüneisen equation of state. Journal of Computational Physics. 524. 113703–113703. 1 indexed citations
4.
Yang, Jiahe, et al.. (2023). A kernel-free boundary integral method for the nonlinear Poisson-Boltzmann equation. Journal of Computational Physics. 493. 112423–112423. 2 indexed citations
5.
Li, Shuwang, et al.. (2023). Kernel-free boundary integral method for two-phase Stokes equations with discontinuous viscosity on staggered grids. Journal of Computational Physics. 492. 112379–112379. 3 indexed citations
6.
Li, Shuwang, et al.. (2023). Second Order Convergence of a Modified MAC Scheme for Stokes Interface Problems. Journal of Scientific Computing. 96(1). 3 indexed citations
7.
8.
Ying, Wenjun, et al.. (2023). Kernel free boundary integral method for 3D incompressible flow and linear elasticity equations on irregular domains. Computer Methods in Applied Mechanics and Engineering. 414. 116163–116163. 3 indexed citations
9.
Li, Shuwang, et al.. (2021). A fourth-order Cartesian grid method for multiple acoustic scattering on closely packed obstacles. Journal of Computational and Applied Mathematics. 406. 113885–113885. 3 indexed citations
10.
Henriquez, Craig S., et al.. (2020). Composite Backward Differentiation Formula for the Bidomain Equations. Frontiers in Physiology. 11. 591159–591159. 1 indexed citations
11.
Ying, Wenjun. (2019). A Cartesian Grid-Based Boundary Integral Method for an Elliptic Interface Problem on Closely Packed Cells. Communications in Computational Physics. 24(4). 1196–1220. 8 indexed citations
12.
Wang, Yongheng, Li Cai, Xiaoyu Luo, Wenjun Ying, & Hao Gao. (2019). Simulation of action potential propagation based on the ghost structure method. Scientific Reports. 9(1). 10927–10927. 8 indexed citations
13.
Ying, Wenjun, et al.. (2018). A hybridizable discontinuous Galerkin method for elliptic interface problems in the formulation of boundary integral equations. Journal of Computational and Applied Mathematics. 344. 624–639. 5 indexed citations
14.
Ying, Wenjun & Craig S. Henriquez. (2015). Adaptive Mesh Refinement and Adaptive Time Integration for Electrical Wave Propagation on the Purkinje System. BioMed Research International. 2015. 1–14. 4 indexed citations
15.
Han, Houde, Zhongyi Huang, & Wenjun Ying. (2013). A semi-discrete tailored finite point method for a class of anisotropic diffusion problems. Computers & Mathematics with Applications. 65(11). 1760–1774. 12 indexed citations
16.
Pourtaheri, Navid, Wenjun Ying, Jong‐Min Kim, & Craig S. Henriquez. (2009). Thresholds for Transverse Stimulation: Fiber Bundles in a Uniform Field. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(5). 478–486. 12 indexed citations
17.
Schaeffer, David G., Wenjun Ying, & Xiaopeng Zhao. (2007). Asymptotic approximation of an ionic model for cardiac restitution. Nonlinear Dynamics. 51(1-2). 189–198. 4 indexed citations
18.
Schaeffer, David G., John W. Cain, Daniel J. Gauthier, et al.. (2007). An Ionically Based Mapping Model with Memory for Cardiac Restitution. Bulletin of Mathematical Biology. 69(2). 459–482. 18 indexed citations
19.
Ying, Wenjun & Craig S. Henriquez. (2007). Hybrid Finite Element Method for Describing the Electrical Response of Biological Cells to Applied Fields. IEEE Transactions on Biomedical Engineering. 54(4). 611–620. 46 indexed citations
20.
Ying, Wenjun, Navid Pourtaheri, & Craig S. Henriquez. (2006). Field Stimulation of Cells in Suspension: Use of a Hybrid Finite Element Method. PubMed. 17. 2276–2279. 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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