Huaijun Yang

406 citations
45 papers · 301 · h-index 9

Impact in

Papers in

    • Numerical methods for differential equations 21
    • Differential Equations and Numerical Methods 17
    • Advanced Numerical Methods in Computational Mathematics 35
    • Computational Fluid Dynamics and Aerodynamics 7

Huaijun Yang

38 papers receiving 296 citations

Peers

Huaijun Yang
Comparison fields: 5 of 24
  • Numerical Analysis 204
  • Modeling and Simulation 65
  • Computational Mechanics 213
  • Mechanics of Materials 108
  • Statistical and Nonlinear Physics 32
Replace Waixiang Cao with:
Waixiang Cao China
Lijun Yi China
Ashish Awasthi India
Dianming Hou China
Chunjia Bi China
Hong Guang Sun China
Stella Krell France
B. Cano Spain
Florentina Tone United States
Chaolong Jiang China
Huaijun Yang relative to Waixiang Cao China Waixiang Cao's profile →
Citations per field
00.5×1.5×2×2.3×
Waixiang Cao · 1×
Citations per year

Countries citing papers authored by Huaijun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Huaijun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Huaijun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Huaijun Yang Line = papers co-authored together Huaijun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201737
2 201828
3 201625
4 202119
5 201717
6 201917
7 201914
8 202011
9 201810
10 20189
11 20189
12 20209
13 20189
14 20178
15 20217
16 20246
17 20206
18 20235
19 20235
20 20215

About Huaijun Yang

Huaijun Yang is a scholar working on Numerical Analysis, Computational Mechanics, Mechanics of Materials, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 45 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (35 papers), Numerical methods for differential equations (21 papers), Numerical methods in engineering (18 papers), Differential Equations and Numerical Methods (17 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Fractional Differential Equations Solutions (6 papers) and Nonlinear Waves and Solitons (3 papers). The work is most often cited by research in Numerical Analysis (204 citations), Modeling and Simulation (65 citations), Computational Mechanics (213 citations), Mechanics of Materials (108 citations) and Statistical and Nonlinear Physics (32 citations). Huaijun Yang has collaborated with scholars based in China. Frequent co-authors include Dongyang Shi, Litao Zhang, Meng Li, Xuan Zheng, Xia Liu and Jinjin Yang. Their work appears in journals such as Applied Mathematics Letters, Applied Numerical Mathematics, Computers & Mathematics with Applications, Communications in Nonlinear Science and Numerical Simulation and Numerical Methods for Partial Differential Equations.

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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