Libo Feng
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 1%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
- Iterative Methods for Nonlinear Equations
Papers in
-
- Fractional Differential Equations Solutions 45
-
- Differential Equations and Numerical Methods 30
- Numerical methods for differential equations 8
- Co-authors
- Fawang Liu (29 shared papers)Ian Turner (23 shared papers)Vo Anh (7 shared papers)Lin Liu (16 shared papers)Peixian Zhuang (4 shared papers)Pinghui Zhuang (3 shared papers)Jing Li (1 shared paper)Liancun Zheng (7 shared papers)
In The Last Decade
Libo Feng
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 738
- Numerical Analysis 494
- Applied Mathematics 159
- Mechanics of Materials 288
- Statistical and Nonlinear Physics 101
Countries citing papers authored by Libo Feng
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
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-authors
The 25 scholars most cited alongside Libo Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2015 | 82 | |
| 3 | 2019 | 77 | |
| 4 | 2017 | 76 | |
| 5 | 2018 | 71 | |
| 6 | 2018 | 56 | |
| 7 | 2020 | 53 | |
| 8 | 2017 | 53 | |
| 9 | 2020 | 50 | |
| 10 | 2020 | 35 | |
| 11 | 2016 | 31 | |
| 12 | 2016 | 24 | |
| 13 | 2021 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2018 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2024 | 14 | |
| 20 | 2025 | 14 |
About Libo Feng
Libo Feng is a scholar working on Modeling and Simulation, Numerical Analysis, Biomedical Engineering, Applied Mathematics and Mechanics of Materials, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (45 papers), Differential Equations and Numerical Methods (30 papers), Nanofluid Flow and Heat Transfer (22 papers), Nonlinear Differential Equations Analysis (13 papers), Numerical methods in engineering (8 papers), Numerical methods for differential equations (8 papers), Rheology and Fluid Dynamics Studies (5 papers) and Fluid Dynamics and Vibration Analysis (4 papers). The work is most often cited by research in Modeling and Simulation (738 citations), Numerical Analysis (494 citations), Applied Mathematics (159 citations), Mechanics of Materials (288 citations) and Statistical and Nonlinear Physics (101 citations). Libo Feng has collaborated with scholars based in China, Australia and France. Frequent co-authors include Fawang Liu, Ian Turner, Vo Anh, Lin Liu, Peixian Zhuang, Pinghui Zhuang, Jing Li, Liancun Zheng, Yuantong Gu and Qian Xu. Their work appears in journals such as Computers & Mathematics with Applications, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics Letters, Physics of Fluids and Journal of Computational and Applied Mathematics.
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.