Weiping Yan

774 citations
70 papers · 538 · h-index 12

Impact in

Papers in

    • Navier-Stokes equation solutions 15
    • Nonlinear Differential Equations Analysis 10
    • Nonlinear Partial Differential Equations 7
    • Advanced Mathematical Physics Problems 22

Weiping Yan

65 papers receiving 516 citations

Peers

Weiping Yan
Comparison fields: 5 of 66
  • Applied Mathematics 137
  • Mathematical Physics 106
  • Renewable Energy, Sustainability and the Environment 114
  • Numerical Analysis 31
  • Modeling and Simulation 20
Replace Hailiang Liu with:
Hailiang Liu China
Aziz Belmiloudi France
Milan Miklavčič United States
Shan Li China
Yi Chong Cheng China
A‎. ‎El-Sayed Ahmed Egypt
Jiang‐Ren Chang Taiwan
Gudrun Thäter Germany
Weiping Yan relative to Hailiang Liu China Hailiang Liu's profile →
Citations per field
00.5×2×4×6×8.8×
Hailiang Liu · 1×
Citations per year

Countries citing papers authored by Weiping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weiping Yan, 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 Weiping Yan Line = papers co-authored together Weiping Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 202142
3 202141
4 201036
5 200534
6 202420
7 201620
8 201420
9 201819
10 201818
11 201914
12 200914
13 201911
14 201911
15 199311
16 200911
17 20199
18 20209
19 20178
20 20197

About Weiping Yan

Weiping Yan is a scholar working on Applied Mathematics, Mathematical Physics, Numerical Analysis, Control and Systems Engineering and Computational Mechanics, having authored 70 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (22 papers), Navier-Stokes equation solutions (15 papers), Stability and Controllability of Differential Equations (12 papers), Nonlinear Differential Equations Analysis (10 papers), Nonlinear Partial Differential Equations (7 papers), Differential Equations and Numerical Methods (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Black Holes and Theoretical Physics (5 papers). The work is most often cited by research in Applied Mathematics (137 citations), Mathematical Physics (106 citations), Renewable Energy, Sustainability and the Environment (114 citations), Numerical Analysis (31 citations) and Modeling and Simulation (20 citations). Weiping Yan has collaborated with scholars based in China, Poland and Romania. Frequent co-authors include Weiping Zhao, Yukun Lv, Jurang Yan, Yong Li, Shuguan Ji, Aimin Zhao, Dong He, Jun Li, Xiaolin Wei and Binlin Zhang. Their work appears in journals such as Advances in Nonlinear Analysis, Nonlinear Analysis, Journal of Geometric Analysis, Journal of Differential Equations and Applied Thermal Engineering.

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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