Minghui Song

803 total citations
63 papers, 591 citations indexed

About

Minghui Song is a scholar working on Numerical Analysis, Finance and Applied Mathematics. According to data from OpenAlex, Minghui Song has authored 63 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Numerical Analysis, 26 papers in Finance and 14 papers in Applied Mathematics. Recurrent topics in Minghui Song's work include Stochastic processes and financial applications (26 papers), Differential Equations and Numerical Methods (20 papers) and Numerical methods for differential equations (16 papers). Minghui Song is often cited by papers focused on Stochastic processes and financial applications (26 papers), Differential Equations and Numerical Methods (20 papers) and Numerical methods for differential equations (16 papers). Minghui Song collaborates with scholars based in China, United Kingdom and Finland. Minghui Song's co-authors include M.Z. Liu, Zhanwen Yang, Ming-Zhu Liu, Gui-Lai Zhang, Xuerong Mao, Yulan Lu, Ling Zhang, Hui Liang, Guang‐Da Hu and X. Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Frontiers in Microbiology.

In The Last Decade

Minghui Song

55 papers receiving 578 citations

Peers

Minghui Song
Comparison fields: 5 of 60
  • Numerical Analysis 283
  • Finance 165
  • Applied Mathematics 165
  • Modeling and Simulation 143
  • Control and Systems Engineering 122
Replace Zhanwen Yang with:
Zhanwen Yang China
Pablo Amster Argentina
Xiaohua Ding China
Thai Son Doan Vietnam
John A. D. Appleby Ireland
Jie Xin China
Lanying Hu China
Hongjiong Tian China
Zaitang Huang China
Bruce A. Wade United States
Zhanwen Yang China View profile →
Citations per field, relative to Minghui Song
Minghui Song · 1×
Citations per year, relative to Minghui Song
Minghui Song · 1×

Countries citing papers authored by Minghui Song

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Song

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Song. A scholar is included among the top collaborators of Minghui Song 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 Minghui Song. Minghui Song 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
# Work Indexed citations
1 7
2 4
3 3
4 0
5 3
6 1
7 0
8 3
9 1
10 4
11 2
12 21
13 6
14 29
15 19
16 30
17 46
18 22
19 48
20 41

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026