Huazhong Tang

1.7k total citations
61 papers, 1.2k citations indexed

About

Huazhong Tang is a scholar working on Computational Mechanics, Applied Mathematics and Atmospheric Science. According to data from OpenAlex, Huazhong Tang has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Mechanics, 22 papers in Applied Mathematics and 11 papers in Atmospheric Science. Recurrent topics in Huazhong Tang's work include Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics and Turbulent Flows (23 papers) and Gas Dynamics and Kinetic Theory (20 papers). Huazhong Tang is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (45 papers), Fluid Dynamics and Turbulent Flows (23 papers) and Gas Dynamics and Kinetic Theory (20 papers). Huazhong Tang collaborates with scholars based in China, Hong Kong and Germany. Huazhong Tang's co-authors include Tao Tang, Kailiang Wu, Sihong Shao, Peng He, Pingwen Zhang, Jiequan Li, Zhi-Cheng Yang, Zhengru Zhang, Xu Jian and Xia Ji and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Huazhong Tang

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huazhong Tang China 21 940 332 253 166 120 61 1.2k
Dietmar Kröner Germany 16 778 0.8× 362 1.1× 108 0.4× 73 0.4× 46 0.4× 34 1.0k
Jing‐Mei Qiu United States 21 1.1k 1.1× 551 1.7× 316 1.2× 92 0.6× 118 1.0× 66 1.3k
Edwige Godlewski France 13 1.1k 1.1× 648 2.0× 103 0.4× 121 0.7× 78 0.7× 30 1.4k
Raphaël Loubère France 24 1.7k 1.8× 514 1.5× 174 0.7× 99 0.6× 43 0.4× 65 1.8k
Fengyan Li United States 23 1.1k 1.2× 286 0.9× 365 1.4× 67 0.4× 108 0.9× 59 1.4k
Magnus Svärd Norway 20 1.6k 1.8× 314 0.9× 436 1.7× 110 0.7× 140 1.2× 55 1.9k
Gabriella Puppo Italy 19 1.7k 1.8× 774 2.3× 248 1.0× 353 2.1× 81 0.7× 61 1.9k
Andrew R. Winters Germany 18 938 1.0× 203 0.6× 124 0.5× 157 0.9× 120 1.0× 33 1.1k
Sebastiano Boscarino Italy 16 719 0.8× 275 0.8× 363 1.4× 44 0.3× 53 0.4× 40 896
T.R. Hill United States 7 1.2k 1.3× 153 0.5× 399 1.6× 41 0.2× 82 0.7× 17 1.5k

Countries citing papers authored by Huazhong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Huazhong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huazhong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Huazhong Tang. A scholar is included among the top collaborators of Huazhong Tang 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 Huazhong Tang. Huazhong Tang 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, Lingyi, et al.. (2025). RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion. 1–6. 1 indexed citations
2.
Tang, Huazhong, et al.. (2025). High-order accurate structure-preserving finite volume schemes on adaptive moving meshes for shallow water equations: Well-balancedness and positivity. Journal of Computational Physics. 527. 113801–113801. 1 indexed citations
3.
Tang, Huazhong, et al.. (2025). Two improved extrapolated gradient algorithms for pseudo-monotone variational inequalities. AIMS Mathematics. 10(2). 2064–2082.
4.
Tang, Huazhong, et al.. (2024). High-order accurate positivity-preserving and well-balanced discontinuous Galerkin schemes for ten-moment Gaussian closure equations with source terms. Journal of Computational Physics. 519. 113451–113451. 2 indexed citations
5.
Tang, Huazhong, et al.. (2024). A second-order direct Eulerian GRP scheme for ten-moment Gaussian closure equations with source terms. Journal of Computational Physics. 523. 113671–113671. 2 indexed citations
6.
Tang, Huazhong, et al.. (2022). High-order accurate entropy stable adaptive moving mesh finite difference schemes for (multi-component) compressible Euler equations with the stiffened equation of state. Computer Methods in Applied Mechanics and Engineering. 399. 115311–115311. 7 indexed citations
7.
Tang, Huazhong, et al.. (2022). High-order accurate entropy stable adaptive moving mesh finite difference schemes for special relativistic (magneto)hydrodynamics. Journal of Computational Physics. 456. 111038–111038. 11 indexed citations
8.
Chen, Yaping, et al.. (2021). Second-order accurate BGK schemes for the special relativistic hydrodynamics with the Synge equation of state. Journal of Computational Physics. 442. 110438–110438. 3 indexed citations
9.
Tang, Huazhong, et al.. (2020). Entropy stable adaptive moving mesh schemes for 2D and 3D special relativistic hydrodynamics. Journal of Computational Physics. 426. 109949–109949. 20 indexed citations
10.
Wu, Kailiang & Huazhong Tang. (2018). On physical-constraints-preserving schemes for special relativistic magnetohydrodynamics with a general equation of state. Zeitschrift für angewandte Mathematik und Physik. 69(3). 13 indexed citations
11.
Zhao, Jian & Huazhong Tang. (2017). Runge-Kutta Central Discontinuous Galerkin Methods for the Special Relativistic Hydrodynamics. Communications in Computational Physics. 22(3). 643–682. 9 indexed citations
12.
Wu, Kailiang & Huazhong Tang. (2015). High-order accurate physical-constraints-preserving finite difference WENO schemes for special relativistic hydrodynamics. Journal of Computational Physics. 298. 539–564. 54 indexed citations
13.
Wu, Kailiang, et al.. (2014). A third-order accurate direct Eulerian GRP scheme for the Euler equations in gas dynamics. Journal of Computational Physics. 264. 177–208. 22 indexed citations
14.
Ji, Xia & Huazhong Tang. (2012). High-Order Accurate Runge-Kutta (Local) Discontinuous Galerkin Methods for One- and Two-Dimensional Fractional Diffusion Equations. Numerical Mathematics Theory Methods and Applications. 5(3). 333–358. 35 indexed citations
15.
Yang, Zhi-Cheng, Peng He, & Huazhong Tang. (2011). A direct Eulerian GRP scheme for relativistic hydrodynamics: One-dimensional case. Journal of Computational Physics. 26 indexed citations
16.
Shao, Sihong & Huazhong Tang. (2008). Interaction of solitary waves with a phase shift in a nonlinear Dirac model. Communications in Computational Physics. 3(4). 6 indexed citations
17.
Tang, Huazhong, Tao Tang, & Pingwen Zhang. (2003). An adaptive mesh redistribution method for nonlinear Hamilton–Jacobi equations in two- and three-dimensions. Journal of Computational Physics. 188(2). 543–572. 55 indexed citations
18.
Tang, Huazhong, Tao Tang, & Jinghua Wang. (2001). On numerical entropy inequalities for a class of relaxed schemes. Quarterly of Applied Mathematics. 59(2). 391–399. 4 indexed citations
19.
Tang, Huazhong. (2001). Gas-kinetic schemes for compressible flow of real gases. Computers & Mathematics with Applications. 41(5-6). 723–734. 10 indexed citations
20.
Tang, Huazhong, et al.. (2000). Kinetic flux vector splitting for radiation hydrodynamical equations. Computers & Fluids. 29(8). 917–933. 12 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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