Libo Feng

1.3k total citations
60 papers, 1.0k citations indexed

About

Libo Feng is a scholar working on Modeling and Simulation, Numerical Analysis and Biomedical Engineering. According to data from OpenAlex, Libo Feng has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Modeling and Simulation, 32 papers in Numerical Analysis and 22 papers in Biomedical Engineering. Recurrent topics in Libo Feng's work include Fractional Differential Equations Solutions (45 papers), Differential Equations and Numerical Methods (30 papers) and Nanofluid Flow and Heat Transfer (22 papers). Libo Feng is often cited by papers focused on Fractional Differential Equations Solutions (45 papers), Differential Equations and Numerical Methods (30 papers) and Nanofluid Flow and Heat Transfer (22 papers). Libo Feng collaborates with scholars based in China, Australia and Bangladesh. Libo Feng's co-authors include Fawang Liu, Ian Turner, Vo Anh, Lin Liu, Peixian Zhuang, Pinghui Zhuang, Jing Li, Liancun Zheng, Yuantong Gu and Qian Xu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Libo Feng

54 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libo Feng China 16 719 490 285 232 157 60 1.0k
A. Sami Bataineh Malaysia 17 922 1.3× 632 1.3× 105 0.4× 291 1.3× 135 0.9× 42 1.2k
O. Abdulaziz Malaysia 13 802 1.1× 549 1.1× 78 0.3× 247 1.1× 190 1.2× 15 974
S. Kazem Iran 14 497 0.7× 362 0.7× 198 0.7× 84 0.4× 155 1.0× 17 748
Asmat Ara Pakistan 16 561 0.8× 316 0.6× 50 0.2× 278 1.2× 115 0.7× 38 850
Arshad Khan India 20 485 0.7× 621 1.3× 224 0.8× 101 0.4× 129 0.8× 102 1.2k
I.H. Abdel-Halim Hassan Egypt 7 375 0.5× 282 0.6× 112 0.4× 127 0.5× 51 0.3× 12 618
Dušan Zorica Serbia 21 990 1.4× 428 0.9× 522 1.8× 139 0.6× 335 2.1× 54 1.5k
Aytaç Arıkoğlu Türkiye 19 987 1.4× 709 1.4× 422 1.5× 441 1.9× 249 1.6× 34 1.8k
Magda Rebelo Portugal 15 494 0.7× 383 0.8× 109 0.4× 91 0.4× 155 1.0× 39 662
Mehmet Giyas Sakar Türkiye 14 618 0.9× 439 0.9× 113 0.4× 59 0.3× 140 0.9× 26 769

Countries citing papers authored by Libo Feng

Since Specialization
Citations

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

Fields of papers citing papers by Libo Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libo Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Libo Feng. A scholar is included among the top collaborators of Libo Feng 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 Libo Feng. Libo Feng 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
1.
Feng, Libo, et al.. (2025). Bridge response separation method based on recursive variational mode decomposition. Smart Materials and Structures. 34(4). 45016–45016.
3.
Liu, Lin, et al.. (2024). Analysis of magnetic fluid heat transfer in biological tissues subjected to a semi-infinite region by artificial boundary method. International Journal of Heat and Mass Transfer. 229. 125668–125668. 6 indexed citations
4.
Liu, Lin, et al.. (2024). Numerical simulation of the two-dimensional fractional Schrödinger equation for describing the quantum dynamics on a comb with the absorbing boundary conditions. Communications in Nonlinear Science and Numerical Simulation. 140. 108407–108407.
6.
Liu, Lin, Chiyu Xie, Lixiu Wang, et al.. (2024). The mechanism analysis of the oscillatory flow of Oldroyd-B fluid in a tube with a right triangular cross-section. Computers & Mathematics with Applications. 178. 179–196. 1 indexed citations
7.
Feng, Libo, Ian Turner, Timothy J. Moroney, & Fawang Liu. (2023). Fractional potential: A new perspective on the fractional Laplacian problem on bounded domains. Communications in Nonlinear Science and Numerical Simulation. 125. 107368–107368. 2 indexed citations
8.
Liu, Yanqin, et al.. (2023). A fast time stepping Legendre spectral method for solving fractional Cable equation with smooth and non-smooth solutions. Mathematics and Computers in Simulation. 211. 154–170. 1 indexed citations
9.
Liu, Yanqin, et al.. (2023). A Compact Scheme Combining the Fast Time Stepping Method for Solving 2D Fractional Subdiffusion Equations. Fractal and Fractional. 7(2). 186–186. 1 indexed citations
10.
Liu, Fawang, et al.. (2023). New insight into the nano-fluid flow in a channel with tempered fractional operators. Nanotechnology. 35(8). 85403–85403. 5 indexed citations
11.
Wang, Peng, Yingjie Zhang, Libo Feng, et al.. (2023). Study on the pneumatic hammer phenomenon of aerostatic bearings based on the empirical mode method: Numerical and experimental analysis. Tribology International. 181. 108305–108305. 13 indexed citations
13.
Liu, Lin, Libo Feng, Qian Xu, & Yanping Chen. (2019). Anomalous diffusion in comb model subject to a novel distributed order time fractional Cattaneo–Christov flux. Applied Mathematics Letters. 102. 106116–106116. 14 indexed citations
14.
Liu, Fawang, Libo Feng, Vo Anh, & Jing Li. (2019). Unstructured-mesh Galerkin finite element method for the two-dimensional multi-term time–space fractional Bloch–Torrey equations on irregular convex domains. Computers & Mathematics with Applications. 78(5). 1637–1650. 75 indexed citations
15.
Feng, Libo, Fawang Liu, & Ian Turner. (2019). An unstructured mesh control volume method for two-dimensional space fractional diffusion equations with variable coefficients on convex domains. Journal of Computational and Applied Mathematics. 364. 112319–112319. 18 indexed citations
16.
Li, Lang, Fawang Liu, Libo Feng, & Ian Turner. (2019). A Galerkin finite element method for the modified distributed-order anomalous sub-diffusion equation. Journal of Computational and Applied Mathematics. 368. 112589–112589. 10 indexed citations
17.
Liu, Fawang, et al.. (2017). A novel finite volume method for the Riesz space distributed-order advection–diffusion equation. Applied Mathematical Modelling. 46. 536–553. 74 indexed citations
18.
Liu, Fawang, et al.. (2017). A novel finite volume method for the Riesz space distributed-order diffusion equation. Computers & Mathematics with Applications. 74(4). 772–783. 94 indexed citations
19.
Feng, Libo, et al.. (2016). A fast second-order accurate method for a two-sided space-fractional diffusion equation with variable coefficients. Computers & Mathematics with Applications. 73(6). 1155–1171. 31 indexed citations
20.
Feng, Libo, Pinghui Zhuang, Fawang Liu, Ian Turner, & Qianqian Yang. (2015). Second-Order Approximation for the Space Fractional Diffusion Equation with Variable Coefficient. Progress in Fractional Differentiation and Applications. 1(1). 23–35. 5 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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