Xiaoning Lin

492 citations
18 papers · 378 · h-index 8

Impact in

    • Differential Equations and Numerical Methods
    • Nonlinear Differential Equations Analysis
    • Differential Equations and Boundary Problems
    • Nonlinear Partial Differential Equations

Papers in

    • Nonlinear Differential Equations Analysis 9
    • Differential Equations and Boundary Problems 3
    • Nonlinear Partial Differential Equations 2
    • Differential Equations and Numerical Methods 8

Xiaoning Lin

13 papers receiving 366 citations

Peers

Xiaoning Lin
Comparison fields: 5 of 69
  • Numerical Analysis 121
  • Applied Mathematics 206
  • Modeling and Simulation 40
  • Geometry and Topology 36
  • Biomaterials 53
Replace Ray Yang with:
Ray Yang Canada
Cristian Morales-Rodrigo Spain
Xin Zhong China
S.J. Franks United Kingdom
Tomasz Cieślak Poland
Elio Espejo Japan
Weiyi Zhang China
Leonard Schmiester Germany
Xiaoning Lin relative to Ray Yang Canada Ray Yang's profile →
Citations per field
00.5×11×
Ray Yang · 1×
Citations per year

Countries citing papers authored by Xiaoning Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2022151
2 2005105
3 200533
4 200528
5 200613
6 20059
7 20068
8 20078
9 20087
10 20235
11 20085
12 20224
13 20231
14 20071
15 20230
16 20250
17 20250
18 20240

About Xiaoning Lin

Xiaoning Lin is a scholar working on Applied Mathematics, Numerical Analysis, Pathology and Forensic Medicine, Computational Theory and Mathematics and Neurology, having authored 18 papers that have together received 378 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (9 papers), Differential Equations and Numerical Methods (8 papers), Differential Equations and Boundary Problems (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Nonlinear Partial Differential Equations (2 papers), Neurosurgical Procedures and Complications (2 papers), Geological Modeling and Analysis (2 papers) and Spectral Theory in Mathematical Physics (1 paper). The work is most often cited by research in Numerical Analysis (121 citations), Applied Mathematics (206 citations), Modeling and Simulation (40 citations), Geometry and Topology (36 citations) and Biomaterials (53 citations). Xiaoning Lin has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Daqing Jiang, Xiaoyue Li, Yufen Xiao, Duotian Qin, Wei Tao, Na Kong, Seyoung Koo, Alexey V. Yaremenko, Pengfei Zhang and Omid C. Farokhzad. Their work appears in journals such as Nonlinear Analysis, Computers & Mathematics with Applications, Medicine, Nanomedicine and Applied Mathematics and Nonlinear Sciences.

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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