Seakweng Vong

2.9k citations
146 papers · 2.2k indexed · 1 hit paper · h-index 27
Topics
Fractional Differential Equations Solutions (58 papers)Matrix Theory and Algorithms (58 papers)Differential Equations and Numerical Methods (49 papers)
Partner nations
MacaoChinaHong Kong

In The Last Decade

Seakweng Vong

133 papers receiving 2.1k citations

Hit Papers

Compact difference schemes for the modified anomalous fra...2014202620182022201450100150200250

Peers

Seakweng Vong
Comparison fields: 5 of 54
  • Numerical Analysis 1.5k
  • Modeling and Simulation 1.2k
  • Computational Theory and Mathematics 674
  • Applied Mathematics 464
  • Mechanics of Materials 389
Replace Masoud Hajarian with:
Masoud Hajarian Iran
Hai‐Wei Sun Macao
Shuhuang Xiang China
I. P. Gavrilyuk Ukraine
Changfeng Ma China
Salah M. El‐Sayed Egypt
Linzhang Lu China
K. Jbilou France
Xian‐Ming Gu China
Nicola Guglielmi Italy
Seakweng Vong relative to Masoud Hajarian Iran Masoud Hajarian's profile →
Citations per field
00.5×10×16.5×
Masoud Hajarian · 1×
Citations per year

Countries citing papers authored by Seakweng Vong

Since Specialization
Citations

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

Fields of papers citing papers by Seakweng Vong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seakweng Vong

This figure shows the co-authorship network connecting the top 25 collaborators of Seakweng Vong. A scholar is included among the top collaborators of Seakweng Vong 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 Seakweng Vong. Seakweng Vong 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
#WorkIndexed citations
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14 40
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A compact ADI scheme for the two-dimensional time fractional differential equation
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About Seakweng Vong

Seakweng Vong is a scholar working on Computational Mathematics, Numerical Analysis and Modeling and Simulation, having authored 146 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (58 papers), Matrix Theory and Algorithms (58 papers) and Differential Equations and Numerical Methods (49 papers). The work is most often cited by research in Computational Mathematics (295 citations), Numerical Analysis (1.5k citations) and Modeling and Simulation (1.2k citations). Seakweng Vong has collaborated with scholars based in Macao, China and Hong Kong. Frequent co-authors include Zhibo Wang, Pin Lyu, Hua Zheng, Dongdong Liu, Wen Li, Xiaoqing Jin, Siu‐Long Lei, Changjiang Zhu, Tong Yang and Wen Li. Their work appears in journals such as Journal of Computational Physics, Neurocomputing and Journal of the Franklin Institute.

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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