Liu Yang

634 total citations
56 papers, 531 citations indexed

About

Liu Yang is a scholar working on Applied Mathematics, Numerical Analysis and Modeling and Simulation. According to data from OpenAlex, Liu Yang has authored 56 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Applied Mathematics, 34 papers in Numerical Analysis and 19 papers in Modeling and Simulation. Recurrent topics in Liu Yang's work include Nonlinear Differential Equations Analysis (48 papers), Differential Equations and Numerical Methods (34 papers) and Fractional Differential Equations Solutions (19 papers). Liu Yang is often cited by papers focused on Nonlinear Differential Equations Analysis (48 papers), Differential Equations and Numerical Methods (34 papers) and Fractional Differential Equations Solutions (19 papers). Liu Yang collaborates with scholars based in China and India. Liu Yang's co-authors include Haibo Chen, Juntao Sun, Hui Zhou, Xiping Liu, Xiaoxia Yang, Zhisu Liu, Chuanzhi Bai, Xiping Liu, Praveen Agarwal and Wei-Guo Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Chaos Solitons & Fractals.

In The Last Decade

Liu Yang

53 papers receiving 488 citations

Peers

Liu Yang
Comparison fields: 5 of 34
  • Applied Mathematics 480
  • Modeling and Simulation 239
  • Numerical Analysis 239
  • Computational Theory and Mathematics 102
  • Mathematical Physics 62
Replace Wenbin Liu with:
Wenbin Liu China
Jian-Ping Sun China
Nemat Nyamoradi Iran
Ercan Tunç Türkiye
Baoqiang Yan China
Alexander Lomtatidze Czechia
Zhilin Yang China
Hong‐Rui Sun China
Wenbin Liu China View profile →
Citations per field, relative to Liu Yang
Liu Yang · 1×
Citations per year, relative to Liu Yang
Liu Yang · 1×

Countries citing papers authored by Liu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Yang. A scholar is included among the top collaborators of Liu Yang 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 Liu Yang. Liu Yang 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
# Work Indexed citations
1 20
2 2
3 4
4 2
5 1
6 8
7 21
8 1
9 0
10 1
11 29
12 6
13
Positive solutions for second order four-point boundary value problems at resonance
2
14 30
15 12
16 36
17 29
18 3
19
POSITIVE SOLUTIONS FOR SECOND-ORDER M-POINT BOUNDARY-VALUE PROBLEMS WITH NONLINEARITY DEPENDING ON THE FIRST DERIVATIVE
1
20 12

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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