Li‐Bin Liu

523 total citations
51 papers, 382 citations indexed

About

Li‐Bin Liu is a scholar working on Numerical Analysis, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Li‐Bin Liu has authored 51 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Numerical Analysis, 20 papers in Computational Mechanics and 10 papers in Mechanical Engineering. Recurrent topics in Li‐Bin Liu's work include Differential Equations and Numerical Methods (43 papers), Numerical methods for differential equations (21 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Li‐Bin Liu is often cited by papers focused on Differential Equations and Numerical Methods (43 papers), Numerical methods for differential equations (21 papers) and Advanced Numerical Methods in Computational Mathematics (14 papers). Li‐Bin Liu collaborates with scholars based in China and Canada. Li‐Bin Liu's co-authors include Yanping Chen, Huan‐Wen Liu, Zhongdi Cen, Guangqing Long, Ying Liang, Aimin Xu, Shengmao Fu, Zaitang Huang, Ming J. Zuo and Jian Zhang and has published in prestigious journals such as Applied Energy, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Li‐Bin Liu

44 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Bin Liu China 12 281 108 102 74 70 51 382
S. Chandra Sekhara Rao India 13 326 1.2× 53 0.5× 95 0.9× 78 1.1× 159 2.3× 40 370
Y. N. Reddy India 16 588 2.1× 163 1.5× 68 0.7× 113 1.5× 113 1.6× 57 631
Fayyaz Ahmad Spain 13 220 0.8× 93 0.9× 188 1.8× 20 0.3× 137 2.0× 43 506
П. П. Матус Belarus 10 304 1.1× 28 0.3× 126 1.2× 212 2.9× 95 1.4× 69 425
P. Pramod Chakravarthy India 14 426 1.5× 70 0.6× 55 0.5× 80 1.1× 159 2.3× 44 453
Lazhar Bougoffa Saudi Arabia 11 148 0.5× 165 1.5× 44 0.4× 122 1.6× 37 0.5× 66 348
V. Shanthi India 14 506 1.8× 70 0.6× 133 1.3× 124 1.7× 236 3.4× 46 556
Hradyesh Kumar Mishra India 11 278 1.0× 187 1.7× 26 0.3× 78 1.1× 36 0.5× 29 351
Urvashi Arora India 11 243 0.9× 138 1.3× 103 1.0× 167 2.3× 50 0.7× 24 382

Countries citing papers authored by Li‐Bin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Bin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Bin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Bin Liu. A scholar is included among the top collaborators of Li‐Bin 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 Li‐Bin Liu. Li‐Bin Liu 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
2.
Liu, Li‐Bin, et al.. (2024). An adaptive grid method for a two-parameter singularly perturbed problem with non-smooth data. Applied Mathematics Letters. 157. 109200–109200.
3.
Xu, Lei, et al.. (2024). Supercloseness of the NIPG method on a Bakhvalov-type mesh for a singularly perturbed problem with two small parameters. Applied Numerical Mathematics. 207. 431–449. 1 indexed citations
4.
Zhang, Yuanyuan, et al.. (2024). Advancements in understanding substantia nigra hyperechogenicity via transcranial sonography in Parkinson’s disease and its clinical implications. Frontiers in Neurology. 15. 1407860–1407860. 3 indexed citations
5.
Liu, Li‐Bin, et al.. (2023). An adaptive grid method for a singularly perturbed convection-diffusion equation with a discontinuous convection coefficient. Networks and Heterogeneous Media. 18(4). 1528–1538. 1 indexed citations
6.
Liu, Li‐Bin, et al.. (2023). Uniform convergence analysis of the BDF2 scheme on Bakhvalov-type meshes for a singularly perturbed Volterra integro-differential equation. Applied Mathematics Letters. 145. 108755–108755. 2 indexed citations
7.
Bai, Weimin, Xinming Wang, Zhi Li, et al.. (2022). Diffusivities and atomic mobilities in bcc Ti–Mo–Ta alloys. Calphad. 76. 102393–102393. 11 indexed citations
8.
Zhang, Yong, et al.. (2021). Analysis of a finite difference scheme for a nonlinear Caputo fractional differential equation on an adaptive grid. AIMS Mathematics. 6(8). 8611–8624. 5 indexed citations
9.
Long, Guangqing, Li‐Bin Liu, & Zaitang Huang. (2021). Richardson Extrapolation Method on an Adaptive Grid for Singularly Perturbed Volterra Integro-Differential Equations. Numerical Functional Analysis and Optimization. 42(7). 739–757. 9 indexed citations
10.
Cen, Zhongdi, Li‐Bin Liu, & Aimin Xu. (2020). A second-order adaptive grid method for a nonlinear singularly perturbed problem with an integral boundary condition. Journal of Computational and Applied Mathematics. 385. 113205–113205. 9 indexed citations
11.
Cen, Zhongdi, et al.. (2019). A posteriori error estimation in maximum norm for a two-point boundary value problem with a Riemann–Liouville fractional derivative. Applied Mathematics Letters. 102. 106086–106086. 23 indexed citations
12.
Cen, Zhongdi, et al.. (2019). An efficient numerical method for a Riemann–Liouville two-point boundary value problem. Applied Mathematics Letters. 103. 106201–106201. 2 indexed citations
13.
Liu, Li‐Bin, et al.. (2019). A dual mutation differential evolution algorithm for singularly perturbed problems with two small parameters. Journal of Intelligent & Fuzzy Systems. 36(6). 6579–6587. 1 indexed citations
14.
Liu, Li‐Bin, Guangqing Long, Zaitang Huang, & Aijia Ouyang. (2017). Rational spectral collocation and differential evolution algorithms for singularly perturbed problems with an interior layer. Journal of Computational and Applied Mathematics. 335. 312–322. 1 indexed citations
15.
16.
Liu, Li‐Bin, Guangqing Long, Aijia Ouyang, & Zaitang Huang. (2017). Numerical solution of a singularly perturbed problem with Robin boundary conditions using particle swarm optimization algorithm. Journal of Intelligent & Fuzzy Systems. 33(3). 1785–1795. 1 indexed citations
17.
Liu, Li‐Bin & Yanping Chen. (2013). A Robust Adaptive Grid Method for a System of Two Singularly Perturbed Convection-Diffusion Equations with Weak Coupling. Journal of Scientific Computing. 61(1). 1–16. 34 indexed citations
18.
Liu, Li‐Bin, et al.. (2011). Multi-objective center PSO based on Pareto for mechanical optimization. Computer Engineering and Applications Journal. 47(4). 57–60. 2 indexed citations
19.
Liu, Li‐Bin, et al.. (2011). Non-polynomial Spline Difference Schemes for Solving Second-order Hyperbolic Equations. International Journal of Information Technology and Computer Science. 3(4). 43–49. 1 indexed citations
20.
Liu, Huan‐Wen & Li‐Bin Liu. (2008). A Non-polynomial Spline Method for Solving the One-Dimensional Heat Equation. 335. 782–785. 2 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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