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 threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Numerical methods for solving the multi-term time-fractional wave-diffusion equation
2012272 citationsFawang Liu, Mark M. Meerschaert et al.Fractional Calculus and Applied Analysisprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Pinghui Zhuang
Since
Specialization
Citations
This map shows the geographic impact of Pinghui Zhuang'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 Pinghui Zhuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinghui Zhuang more than expected).
This network shows the impact of papers produced by Pinghui Zhuang. 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 Pinghui Zhuang. The network helps show where Pinghui Zhuang may publish in the future.
Co-authorship network of co-authors of Pinghui Zhuang
This figure shows the co-authorship network connecting the top 25 collaborators of Pinghui Zhuang.
A scholar is included among the top collaborators of Pinghui Zhuang 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 Pinghui Zhuang. Pinghui Zhuang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
9.
Liu, Fawang, et al.. (2015). Numerical Methods of Fractional Partial Differential Equations and Applications [分数阶偏微分方程数值方法及其应用]. Science & Engineering Faculty.1 indexed citations
10.
Liu, Fawang, et al.. (2015). Numerical methods of fractional partial differential equations and applications.91 indexed citations
11.
Zhang, H., Fawang Liu, Pinghui Zhuang, Ian Turner, & Vo Anh. (2014). Numerical analysis of a new space-time variable fractional order advection-dispersion equation. Science & Engineering Faculty.51 indexed citations
Gu, Yuantong & Pinghui Zhuang. (2012). Anomalous subdiffusion equations by the meshless collocation method. Science & Engineering Faculty.1 indexed citations
14.
Zhuang, Pinghui, Fawang Liu, Vo Anh, & Ian Turner. (2012). The Galerkin finite element approximation of the fractional cable equation. Science & Engineering Faculty.2 indexed citations
15.
Liu, Fawang, Mark M. Meerschaert, Robert J. McGough, Pinghui Zhuang, & Qingxia Liu. (2012). Numerical methods for solving the multi-term time-fractional wave-diffusion equation. Fractional Calculus and Applied Analysis. 16(1). 9–25.272 indexed citations breakdown →
Zhuang, Pinghui. (2007). An Approximate Solution for the Non-linear Anomalous Subdiffusion Equation Using the Adomian Decomposition Method. Journal of Xiamen University.
Zhuang, Pinghui & Fawang Liu. (2005). An explicit approximation for the space-time fractional diffusion equation.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.