Hong‐Kui Pang

598 total citations
25 papers, 484 citations indexed

About

Hong‐Kui Pang is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics. According to data from OpenAlex, Hong‐Kui Pang has authored 25 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Numerical Analysis, 12 papers in Modeling and Simulation and 11 papers in Computational Theory and Mathematics. Recurrent topics in Hong‐Kui Pang's work include Fractional Differential Equations Solutions (11 papers), Matrix Theory and Algorithms (10 papers) and Differential Equations and Numerical Methods (9 papers). Hong‐Kui Pang is often cited by papers focused on Fractional Differential Equations Solutions (11 papers), Matrix Theory and Algorithms (10 papers) and Differential Equations and Numerical Methods (9 papers). Hong‐Kui Pang collaborates with scholars based in China, Macao and United States. Hong‐Kui Pang's co-authors include Hai‐Wei Sun, Xin Lü, Seakweng Vong, Xiaoqing Jin, Lu Zhang, Hai‐Hua Qin, Zhigang Jia, Qianyu Wang, Shuai Ni and Yingying Zhang and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Scientific Computing and Computers & Mathematics with Applications.

In The Last Decade

Hong‐Kui Pang

25 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Kui Pang China 11 395 360 122 118 68 25 484
Siu‐Long Lei Macao 13 492 1.2× 425 1.2× 149 1.2× 124 1.1× 77 1.1× 43 581
Anna Napoli Italy 11 214 0.5× 212 0.6× 61 0.5× 61 0.5× 136 2.0× 50 403
A. Aminataei Iran 14 417 1.1× 352 1.0× 36 0.3× 117 1.0× 97 1.4× 52 519
Wenyi Tian China 8 770 1.9× 659 1.8× 68 0.6× 207 1.8× 202 3.0× 21 852
Maŕıa López-Fernández Spain 11 175 0.4× 210 0.6× 89 0.7× 116 1.0× 131 1.9× 18 456
A. R. Vahidi Iran 10 317 0.8× 218 0.6× 22 0.2× 69 0.6× 116 1.7× 40 382
Zhaopeng Hao China 12 612 1.5× 565 1.6× 48 0.4× 132 1.1× 156 2.3× 19 684
Emran Tohidi Iran 12 241 0.6× 219 0.6× 33 0.3× 75 0.6× 67 1.0× 30 350
Reza Mollapourasl Iran 12 250 0.6× 201 0.6× 29 0.2× 98 0.8× 167 2.5× 26 400
Angelamaria Cardone Italy 16 278 0.7× 420 1.2× 127 1.0× 28 0.2× 76 1.1× 41 534

Countries citing papers authored by Hong‐Kui Pang

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Kui Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Kui Pang. 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 Hong‐Kui Pang. The network helps show where Hong‐Kui Pang may publish in the future.

Co-authorship network of co-authors of Hong‐Kui Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Kui Pang. A scholar is included among the top collaborators of Hong‐Kui Pang 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 Hong‐Kui Pang. Hong‐Kui Pang 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.
Pang, Hong‐Kui, Hai‐Hua Qin, & Shuai Ni. (2024). Sine Transform Based Preconditioning for an Inverse Source Problem of Time-Space Fractional Diffusion Equations. Journal of Scientific Computing. 100(3). 2 indexed citations
2.
Jia, Zhigang, et al.. (2023). Computing Partial Quaternion Eigenpairs with Quaternion Shift. Journal of Scientific Computing. 97(2). 7 indexed citations
3.
Qin, Hai‐Hua, Hong‐Kui Pang, & Hai‐Wei Sun. (2022). Sine transform based preconditioning techniques for space fractional diffusion equations. Numerical Linear Algebra with Applications. 30(4). 2 indexed citations
4.
Pang, Hong‐Kui, et al.. (2021). Circulant-based approximate inverse preconditioners for a class of fractional diffusion equations. Computers & Mathematics with Applications. 85. 18–29. 7 indexed citations
5.
Chen, Mu-Fa, Zhigang Jia, & Hong‐Kui Pang. (2021). Computing top eigenpairs of Hermitizable matrix. Frontiers of Mathematics in China. 16(2). 345–379. 2 indexed citations
6.
Pang, Hong‐Kui & Hai‐Wei Sun. (2021). A Fast Algorithm for the Variable-Order Spatial Fractional Advection-Diffusion Equation. Journal of Scientific Computing. 87(1). 16 indexed citations
7.
Pang, Hong‐Kui, Hai‐Hua Qin, & Hai‐Wei Sun. (2021). All-at-once method for variable-order time fractional diffusion equations. Numerical Algorithms. 90(1). 31–57. 7 indexed citations
8.
Qin, Hai‐Hua, et al.. (2020). Reconstruction for shape and impedance in an inverse scattering problem. International Journal of Computer Mathematics. 98(5). 1015–1028. 1 indexed citations
9.
Xu, Weiwei, Hong‐Kui Pang, Wen Li, Xueping Huang, & Wenjie Guo. (2018). On the Explicit Expression of Chordal Metric between Generalized Singular Values of Grassmann Matrix Pairs with Applications. SIAM Journal on Matrix Analysis and Applications. 39(4). 1547–1563. 7 indexed citations
10.
Pang, Hong‐Kui, et al.. (2018). A shifted block FOM algorithm with deflated restarting for matrix exponential computations. Applied Numerical Mathematics. 127. 306–323. 3 indexed citations
11.
Pang, Hong‐Kui, et al.. (2017). On the correction equation of the Jacobi–Davidson method. Linear Algebra and its Applications. 522. 51–70. 2 indexed citations
12.
Lü, Xin, Hong‐Kui Pang, Hai‐Wei Sun, & Seakweng Vong. (2017). Approximate inversion method for time‐fractional subdiffusion equations. Numerical Linear Algebra with Applications. 25(2). 16 indexed citations
13.
Pang, Hong‐Kui & Hai‐Wei Sun. (2016). Fourth order finite difference schemes for time–space fractional sub-diffusion equations. Computers & Mathematics with Applications. 71(6). 1287–1302. 28 indexed citations
14.
Lü, Xin, Hong‐Kui Pang, & Hai‐Wei Sun. (2015). Fast approximate inversion of a block triangular Toeplitz matrix with applications to fractional sub‐diffusion equations. Numerical Linear Algebra with Applications. 22(5). 866–882. 49 indexed citations
15.
Pang, Hong‐Kui & Hai‐Wei Sun. (2015). Fast Numerical Contour Integral Method for Fractional Diffusion Equations. Journal of Scientific Computing. 66(1). 41–66. 30 indexed citations
16.
Pang, Hong‐Kui, et al.. (2012). Tri-diagonal preconditioner for pricing options. Journal of Computational and Applied Mathematics. 236(17). 4365–4374. 1 indexed citations
17.
Pang, Hong‐Kui, et al.. (2011). Quadratic Finite Element and Preconditioning for Options Pricing in the SVCJ Model. SSRN Electronic Journal. 1 indexed citations
18.
Pang, Hong‐Kui & Hai‐Wei Sun. (2011). Multigrid method for fractional diffusion equations. Journal of Computational Physics. 231(2). 693–703. 178 indexed citations
19.
Pang, Hong‐Kui, Yingying Zhang, Seakweng Vong, & Xiaoqing Jin. (2010). Circulant preconditioners for pricing options. Linear Algebra and its Applications. 434(11). 2325–2342. 3 indexed citations
20.
Pang, Hong‐Kui, et al.. (2010). Shift-Invert Arnoldi Approximation to the Toeplitz Matrix Exponential. SIAM Journal on Scientific Computing. 32(2). 774–792. 41 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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