F. Liu

458 total citations
9 papers, 391 citations indexed

About

F. Liu is a scholar working on Modeling and Simulation, Numerical Analysis and Mechanics of Materials. According to data from OpenAlex, F. Liu has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 4 papers in Numerical Analysis and 2 papers in Mechanics of Materials. Recurrent topics in F. Liu's work include Fractional Differential Equations Solutions (8 papers), Nonlinear Differential Equations Analysis (2 papers) and Numerical methods for differential equations (2 papers). F. Liu is often cited by papers focused on Fractional Differential Equations Solutions (8 papers), Nonlinear Differential Equations Analysis (2 papers) and Numerical methods for differential equations (2 papers). F. Liu collaborates with scholars based in Australia, United Kingdom and China. F. Liu's co-authors include Kevin Burrage, Ian Turner, Hui Jiang, Qiang Yu, Xiaoyun Jiang, S. Chen, Jiacheng Song, K. Bajracharya, Ninghu Su and Vo Anh and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

F. Liu

8 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Liu Australia 6 353 239 111 94 56 9 391
P. K. Sahu India 13 338 1.0× 235 1.0× 116 1.0× 51 0.5× 45 0.8× 30 385
A. R. Vahidi Iran 10 317 0.9× 218 0.9× 116 1.0× 69 0.7× 68 1.2× 40 382
Hongbin Chen China 13 320 0.9× 325 1.4× 96 0.9× 79 0.8× 42 0.8× 32 476
Mojtaba Fardi Iran 13 288 0.8× 264 1.1× 102 0.9× 82 0.9× 54 1.0× 57 433
I. L. El‐Kalla Egypt 11 355 1.0× 262 1.1× 89 0.8× 42 0.4× 119 2.1× 39 416
Davood Rostamy Iran 12 379 1.1× 255 1.1× 138 1.2× 88 0.9× 77 1.4× 53 477
Mirjana Stojanović Serbia 8 302 0.9× 192 0.8× 150 1.4× 61 0.6× 51 0.9× 29 376
Yalçın Öztürk Türkiye 12 376 1.1× 288 1.2× 102 0.9× 56 0.6× 99 1.8× 41 438
Lazhar Bougoffa Saudi Arabia 11 165 0.5× 148 0.6× 122 1.1× 55 0.6× 57 1.0× 66 348
Mahmut Modanlı Türkiye 13 333 0.9× 229 1.0× 123 1.1× 57 0.6× 143 2.6× 43 467

Countries citing papers authored by F. Liu

Since Specialization
Citations

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

Fields of papers citing papers by F. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Liu

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

All Works

9 of 9 papers shown
1.
Liu, F., et al.. (2024). Triangular Function Method is Adopted to Solve Nonlinear Stochastic It o∧–Volterra Integral Equations. Discrete Dynamics in Nature and Society. 2024(1).
2.
Chen, S., F. Liu, Xiaoyun Jiang, Ian Turner, & Kevin Burrage. (2016). Fast Finite Difference Approximation for Identifying Parameters in a Two-dimensional Space-fractional Nonlocal Model with Variable Diffusivity Coefficients. SIAM Journal on Numerical Analysis. 54(2). 606–624. 43 indexed citations
3.
Yu, Qiang, F. Liu, Ian Turner, & Kevin Burrage. (2013). Numerical simulation of the fractional Bloch equations. Journal of Computational and Applied Mathematics. 255. 635–651. 31 indexed citations
4.
Song, Jiacheng, Qiang Yu, F. Liu, & Ian Turner. (2013). A spatially second-order accurate implicit numerical method for the space and time fractional Bloch-Torrey equation. Numerical Algorithms. 66(4). 911–932. 33 indexed citations
5.
Jiang, Hui, F. Liu, Ian Turner, & Kevin Burrage. (2012). Analytical solutions for the multi-term time–space Caputo–Riesz fractional advection–diffusion equations on a finite domain. Journal of Mathematical Analysis and Applications. 389(2). 1117–1127. 161 indexed citations
6.
Yu, Qiang, F. Liu, Ian Turner, & Kevin Burrage. (2012). A computationally effective alternating direction method for the space and time fractional Bloch–Torrey equation in 3-D. Applied Mathematics and Computation. 219(8). 4082–4095. 4 indexed citations
7.
Liu, F. & Kevin Burrage. (2011). Novel techniques in parameter estimation for fractional dynamical models arising from biological systems. Computers & Mathematics with Applications. 62(3). 822–833. 111 indexed citations
8.
Yu, Qiang, F. Liu, Ian Turner, & Kevin Burrage. (2011). Analytical and Numerical Solutions of the Space and Time Fractional Bloch-Torrey Equation. 201–210. 1 indexed citations
9.
Liu, F., et al.. (2005). A finite volume simulation model for saturated–unsaturated flow and application to Gooburrum, Bundaberg, Queensland, Australia. Applied Mathematical Modelling. 30(4). 352–366. 7 indexed citations

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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