Song‐Ping Zhu

4.3k citations
206 papers · 3.2k indexed · h-index 32
Topics
Stochastic processes and financial applications (114 papers)Financial Risk and Volatility Modeling (43 papers)Capital Investment and Risk Analysis (36 papers)

In The Last Decade

Song‐Ping Zhu

194 papers receiving 3.0k citations

Peers

Song‐Ping Zhu
Comparison fields: 5 of 101
  • Finance 1.3k
  • Computational Mechanics 592
  • Ocean Engineering 583
  • Earth-Surface Processes 475
  • Economics and Econometrics 447
Replace Yue Kuen Kwok with:
Yue Kuen Kwok Hong Kong
Peter W. Duck United Kingdom
Nan Chen United States
James Pickands United States
Abhijit Sen Gupta India
Krzysztof Podgórski Sweden
Alfred Müller Germany
Ch. Zhang Germany
Fred Espen Benth Norway
Giorgio P. Szegö Italy
Song‐Ping Zhu relative to Yue Kuen Kwok Hong Kong Yue Kuen Kwok's profile →
Citations per field
00.5×11.9×
Yue Kuen Kwok · 1×
Citations per year

Countries citing papers authored by Song‐Ping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Ping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Ping Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Ping Zhu. A scholar is included among the top collaborators of Song‐Ping Zhu 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 Song‐Ping Zhu. Song‐Ping Zhu 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
1 0
2 1
3 5
4 0
5 5
6 3
7 3
8
On the convergence of He and Zhu's new series solution for pricing options with the Heston model
2
9 7
10 4
11 8
12 22
13
A Hybrid Finite Difference Method for Valuing American Puts
4
14 3
15 8
16 1
17 5
18 33
19 2
20 1

About Song‐Ping Zhu

Song‐Ping Zhu is a scholar working on Finance, Earth-Surface Processes and Modeling and Simulation, having authored 206 papers that have together received 3.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (114 papers), Financial Risk and Volatility Modeling (43 papers) and Capital Investment and Risk Analysis (36 papers). The work is most often cited by research in Finance (1.3k citations), Modeling and Simulation (401 citations) and Earth-Surface Processes (475 citations). Song‐Ping Zhu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Wenting Chen, Guanghua Lian, Xin‐Jiang He, Xiang Xu, Jean-Roch Nader, Paul Cooper, Xiaoping Lu, Chao Chen, Yinglong Zhang and William D. Bradford. Their work appears in journals such as Journal of Fluid Mechanics, Automatica and European Journal of Operational Research.

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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