Shujuan Lü

720 citations
55 papers · 588 · h-index 14

Impact in

Papers in

    • Differential Equations and Numerical Methods 38
    • Numerical methods for differential equations 8
    • Iterative Methods for Nonlinear Equations 7
    • Fractional Differential Equations Solutions 39

Shujuan Lü

49 papers receiving 564 citations

Peers

Shujuan Lü
Comparison fields: 5 of 40
  • Modeling and Simulation 394
  • Numerical Analysis 328
  • Applied Mathematics 107
  • Mathematical Physics 68
  • Computational Theory and Mathematics 119
Replace Zhanwen Yang with:
Zhanwen Yang China
Jie Xin China
Rob De Staelen Belgium
Jianxiong Cao China
Ali Demir Türkiye
Guang‐an Zou China
Wei‐Hua Luo China
Terry L. Herdman United States
Shoufu Li China
Zhaojie Zhou China
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Citations per field
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Citations per year

Countries citing papers authored by Shujuan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Shujuan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Shujuan Lü, 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 Shujuan Lü Line = papers co-authored together Shujuan Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201659
3 201540
4 201734
5 201333
6 201629
7 201821
8 201720
9 201419
10 200618
11 201718
12 201716
13 201816
14 202114
15 202113
16 201612
17 201811
18 200611
19 202011
20 200610

About Shujuan Lü

Shujuan Lü is a scholar working on Numerical Analysis, Modeling and Simulation, Control and Systems Engineering, Applied Mathematics and Mechanics of Materials, having authored 55 papers that have together received 588 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (39 papers), Differential Equations and Numerical Methods (38 papers), Stability and Controllability of Differential Equations (13 papers), Nonlinear Differential Equations Analysis (12 papers), Numerical methods in engineering (9 papers), Numerical methods for differential equations (8 papers), Iterative Methods for Nonlinear Equations (7 papers) and Advanced Mathematical Physics Problems (7 papers). The work is most often cited by research in Modeling and Simulation (394 citations), Numerical Analysis (328 citations), Applied Mathematics (107 citations), Mathematical Physics (68 citations) and Computational Theory and Mathematics (119 citations). Shujuan Lü has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hu Chen, Wenping Chen, H. Peter Lu, Mingji Zhang, Peter W. Bates, Qishao Lu, Zhaosheng Feng, Fawang Liu, Li Chen and E. H. Twizell. Their work appears in journals such as Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications, Numerical Methods for Partial Differential Equations, Applied Mathematics and Computation and Advances in Difference 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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