Fangying Song

36 total papers · 1.0k total citations
25 papers, 629 citations indexed

About

Fangying Song is a scholar working on Numerical Analysis, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Fangying Song has authored 25 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Numerical Analysis, 8 papers in Modeling and Simulation and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Fangying Song's work include Fractional Differential Equations Solutions (8 papers), Differential Equations and Numerical Methods (7 papers) and Model Reduction and Neural Networks (4 papers). Fangying Song is often cited by papers focused on Fractional Differential Equations Solutions (8 papers), Differential Equations and Numerical Methods (7 papers) and Model Reduction and Neural Networks (4 papers). Fangying Song collaborates with scholars based in China, United States and Taiwan. Fangying Song's co-authors include George Em Karniadakis, Chuanju Xu, Guofei Pang, Zhiping Mao, Mark M. Meerschaert, Christian Glusa, Xiaoning Zheng, Wei Cai, Mamikon Gulian and Mark Ainsworth and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal of Environmental Research and Public Health.

In The Last Decade

Fangying Song

23 papers receiving 600 citations

Hit Papers

What is the fractional La... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. What is the fractional Laplacian? A comparative review with new results
    2019 249 citations Anna Lischke, Guofei Pang et al. Journal of Computational Physics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fangying Song 297 222 124 110 106 25 629
Guofei Pang 365 1.2× 219 1.0× 120 1.0× 213 1.9× 115 1.1× 25 728
Miloš Ilić 435 1.5× 360 1.6× 98 0.8× 55 0.5× 80 0.8× 36 729
Xiaoning Zheng 179 0.6× 85 0.4× 76 0.6× 212 1.9× 149 1.4× 21 665
Rudolf Scherer 282 0.9× 210 0.9× 87 0.7× 116 1.1× 52 0.5× 25 559
Prem K. Kythe 170 0.6× 152 0.7× 128 1.0× 30 0.3× 145 1.4× 25 637
G. M. Phillips 81 0.3× 238 1.1× 139 1.1× 62 0.6× 167 1.6× 49 670
Samir Karaa 196 0.7× 438 2.0× 54 0.4× 46 0.4× 338 3.2× 48 687
Minghua Chen 529 1.8× 456 2.1× 176 1.4× 59 0.5× 60 0.6× 45 658
Ram P. Kanwal 99 0.3× 105 0.5× 222 1.8× 65 0.6× 50 0.5× 15 687
A. Sayfy 441 1.5× 553 2.5× 74 0.6× 109 1.0× 110 1.0× 44 684

Countries citing papers authored by Fangying Song

Since Specialization
Citations

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

Fields of papers citing papers by Fangying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangying Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fangying Song. A scholar is included among the top collaborators of Fangying Song 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 Fangying Song. Fangying Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026