Xinghui Zhong

886 total citations
31 papers, 657 citations indexed

About

Xinghui Zhong is a scholar working on Computational Mechanics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Xinghui Zhong has authored 31 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 11 papers in Applied Mathematics and 10 papers in Numerical Analysis. Recurrent topics in Xinghui Zhong's work include Computational Fluid Dynamics and Aerodynamics (14 papers), Gas Dynamics and Kinetic Theory (11 papers) and Numerical methods for differential equations (10 papers). Xinghui Zhong is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (14 papers), Gas Dynamics and Kinetic Theory (11 papers) and Numerical methods for differential equations (10 papers). Xinghui Zhong collaborates with scholars based in United States, China and Hong Kong. Xinghui Zhong's co-authors include Chi‐Wang Shu, Jun Zhu, Jianxian Qiu, Yingda Cheng, Andrew Christlieb, Jing‐Mei Qiu, Wei Guo, Wei Guo, Ramachandran D. Nair and Jue Yan and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Fluids.

In The Last Decade

Xinghui Zhong

26 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinghui Zhong United States 10 577 275 154 53 47 31 657
Praveen Chandrashekar India 14 590 1.0× 231 0.8× 75 0.5× 58 1.1× 14 0.3× 46 700
Lilia Krivodonova Canada 11 1.1k 1.9× 229 0.8× 269 1.7× 72 1.4× 24 0.5× 24 1.1k
Matteo Parsani Saudi Arabia 17 639 1.1× 129 0.5× 123 0.8× 90 1.7× 22 0.5× 69 758
Florian Hindenlang Germany 12 552 1.0× 108 0.4× 70 0.5× 98 1.8× 83 1.8× 29 663
Robert B. Lowrie United States 18 598 1.0× 384 1.4× 122 0.8× 136 2.6× 98 2.1× 46 838
Bojan Popov United States 15 845 1.5× 268 1.0× 164 1.1× 41 0.8× 13 0.3× 53 969
Francesco Fambri Italy 11 392 0.7× 92 0.3× 90 0.6× 29 0.5× 23 0.5× 14 458
Richard Sanders United States 13 623 1.1× 372 1.4× 107 0.7× 50 0.9× 16 0.3× 25 766
Christophe Buet France 13 399 0.7× 432 1.6× 65 0.4× 31 0.6× 45 1.0× 28 586
Pascal Omnès France 9 451 0.8× 146 0.5× 108 0.7× 26 0.5× 52 1.1× 30 578

Countries citing papers authored by Xinghui Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Xinghui Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinghui Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghui Zhong. A scholar is included among the top collaborators of Xinghui Zhong 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 Xinghui Zhong. Xinghui Zhong 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.
Chen, Yong‐Sheng, Wei Guo, & Xinghui Zhong. (2025). Conservative semi-Lagrangian finite difference scheme for transport simulations using graph neural networks. Journal of Computational Physics. 526. 113768–113768.
2.
Hu, Jingwei, et al.. (2024). Energy-conserving discontinuous Galerkin methods for the Vlasov-Ampère system with Dougherty-Fokker-Planck collision operator. Journal of Computational Physics. 514. 113219–113219.
3.
4.
Chen, Yong‐Sheng, Wei Guo, & Xinghui Zhong. (2024). A Multifidelity Machine Learning Based Semi-Lagrangian Finite Volume Scheme for Linear Transport Equations and the Nonlinear Vlasov–Poisson System. Multiscale Modeling and Simulation. 22(4). 1421–1448. 2 indexed citations
5.
Guan, Ning, et al.. (2024). A stochastic Galerkin method for the direct and inverse random source problems of the Helmholtz equation. Communications in Mathematical Sciences. 22(2). 563–581.
6.
Chen, Yong‐Sheng, Wei Guo, & Xinghui Zhong. (2023). A learned conservative semi-Lagrangian finite volume scheme for transport simulations. Journal of Computational Physics. 490. 112329–112329. 3 indexed citations
7.
Liu, Xuechun, Haijin Wang, Jue Yan, & Xinghui Zhong. (2023). Superconvergence of Direct Discontinuous Galerkin Methods: Eigen-structure Analysis Based on Fourier Approach. Communications on Applied Mathematics and Computation. 6(1). 257–278. 3 indexed citations
8.
9.
Zhong, Xinghui, et al.. (2022). Highly efficient energy-conserving moment method for the multi-dimensional Vlasov-Maxwell system. Journal of Computational Physics. 475. 111863–111863. 8 indexed citations
10.
Du, Jie, Chi‐Wang Shu, & Xinghui Zhong. (2022). An improved simple WENO limiter for discontinuous Galerkin methods solving hyperbolic systems on unstructured meshes. Journal of Computational Physics. 467. 111424–111424. 8 indexed citations
11.
Chen, Yong‐Sheng, Jue Yan, & Xinghui Zhong. (2022). Cell-average based neural network method for third order and fifth order KdV type equations. Frontiers in Applied Mathematics and Statistics. 8. 2 indexed citations
12.
Wu, Kailiang, Dongbin Xiu, & Xinghui Zhong. (2021). A WENO-Based Stochastic Galerkin Scheme for Ideal MHD Equations with Random Inputs. Communications in Computational Physics. 30(2). 423–447. 8 indexed citations
13.
Miao, Yuqing, Jue Yan, & Xinghui Zhong. (2021). Superconvergence Study of the Direct Discontinuous Galerkin Method and Its Variations for Diffusion Equations. Communications on Applied Mathematics and Computation. 4(1). 180–204. 4 indexed citations
14.
Narayan, Akil, et al.. (2019). An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models. Journal of Computational Physics. 382. 138–151. 1 indexed citations
15.
Zhu, Jun, Xinghui Zhong, Chi‐Wang Shu, & Jianxian Qiu. (2017). Runge-Kutta Discontinuous Galerkin Method with a Simple and Compact Hermite WENO Limiter on Unstructured Meshes. Communications in Computational Physics. 21(3). 623–649. 39 indexed citations
16.
Zhu, Jun, Xinghui Zhong, Chi‐Wang Shu, & Jianxian Qiu. (2016). Runge-Kutta Discontinuous Galerkin Method with a Simple and Compact Hermite WENO Limiter. Communications in Computational Physics. 19(4). 944–969. 47 indexed citations
17.
Cheng, Yingda, Andrew Christlieb, & Xinghui Zhong. (2015). Numerical study of the two-species Vlasov–Ampère system: Energy-conserving schemes and the current-driven ion-acoustic instability. Journal of Computational Physics. 288. 66–85. 8 indexed citations
18.
Zhu, Jun, Xinghui Zhong, Chi‐Wang Shu, & Jianxian Qiu. (2013). Runge–Kutta discontinuous Galerkin method using a new type of WENO limiters on unstructured meshes. Journal of Computational Physics. 248. 200–220. 136 indexed citations
19.
Guo, Wei, Xinghui Zhong, & Jing‐Mei Qiu. (2012). Superconvergence of discontinuous Galerkin and local discontinuous Galerkin methods: Eigen-structure analysis based on Fourier approach. Journal of Computational Physics. 235. 458–485. 48 indexed citations
20.
Chen, Teng, et al.. (2009). Fast Computational Methods for Reservoir Flow Models. University of Minnesota Digital Conservancy (University of Minnesota). 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Praveen Chandrashekar Breakdown of academic impact, for papers by Lilia Krivodonova Breakdown of academic impact, for papers by Matteo Parsani Breakdown of academic impact, for papers by Florian Hindenlang Breakdown of academic impact, for papers by Robert B. Lowrie Breakdown of academic impact, for papers by Bojan Popov Breakdown of academic impact, for papers by Francesco Fambri Breakdown of academic impact, for papers by Richard Sanders Breakdown of academic impact, for papers by Christophe Buet Breakdown of academic impact, for papers by Pascal Omnès
Rankless by CCL
2026