Song‐Ping Zhu

4.3k total citations
206 papers, 3.2k citations indexed

About

Song‐Ping Zhu is a scholar working on Finance, Economics and Econometrics and Computational Mechanics. According to data from OpenAlex, Song‐Ping Zhu has authored 206 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Finance, 39 papers in Economics and Econometrics and 32 papers in Computational Mechanics. Recurrent topics in Song‐Ping Zhu's work include Stochastic processes and financial applications (114 papers), Financial Risk and Volatility Modeling (43 papers) and Capital Investment and Risk Analysis (36 papers). Song‐Ping Zhu is often cited by papers focused on Stochastic processes and financial applications (114 papers), Financial Risk and Volatility Modeling (43 papers) and Capital Investment and Risk Analysis (36 papers). Song‐Ping Zhu collaborates with scholars based in Australia, China and United States. Song‐Ping Zhu's co-authors include Wenting Chen, Guanghua Lian, Xin‐Jiang He, Xiang Xu, Xiaoping Lu, Jean-Roch Nader, Paul Cooper, Yinglong Zhang, Chao Chen and William D. Bradford and has published in prestigious journals such as Journal of Fluid Mechanics, Automatica and European Journal of Operational Research.

In The Last Decade

Song‐Ping Zhu

194 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song‐Ping Zhu Australia 32 1.3k 592 583 475 447 206 3.2k
Yue Kuen Kwok Hong Kong 22 1.3k 1.0× 72 0.1× 61 0.1× 40 0.1× 508 1.1× 163 2.1k
Peter W. Duck United Kingdom 22 271 0.2× 1.2k 2.0× 121 0.2× 55 0.1× 129 0.3× 152 1.8k
James Pickands United States 15 1.6k 1.2× 62 0.1× 70 0.1× 43 0.1× 710 1.6× 21 3.9k
Ch. Zhang Germany 43 56 0.0× 574 1.0× 377 0.6× 29 0.1× 427 1.0× 237 6.4k
Abhijit Sen Gupta India 33 48 0.0× 3.9k 6.6× 71 0.1× 19 0.0× 160 0.4× 151 6.0k
Krzysztof Podgórski Sweden 17 507 0.4× 41 0.1× 36 0.1× 54 0.1× 269 0.6× 82 1.9k
Nan Chen United States 28 207 0.2× 138 0.2× 30 0.1× 19 0.0× 70 0.2× 138 2.2k
Giorgio P. Szegö Italy 12 1.2k 0.9× 91 0.2× 38 0.1× 6 0.0× 804 1.8× 32 2.5k
Olivier Cadot France 39 142 0.1× 2.3k 3.9× 116 0.2× 34 0.1× 1.3k 3.0× 205 5.0k
Yufeng Shi China 19 423 0.3× 104 0.2× 31 0.1× 5 0.0× 81 0.2× 116 1.0k

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
1.
Zhang, Xiaoming, et al.. (2025). Semantic Consistency Assisted Neuron Adding Network for Generalized Zero-Shot Diagnosis With Incremental Learning Capability. IEEE Transactions on Network Science and Engineering. 12(6). 5012–5023. 1 indexed citations
2.
Zhu, Song‐Ping, et al.. (2025). A new criterion on stability in distribution for hybrid neutral stochastic delay systems. Systems & Control Letters. 205. 106269–106269.
3.
Zhu, Song‐Ping, et al.. (2024). Pricing options with a new hybrid neural network model. Expert Systems with Applications. 251. 123979–123979. 5 indexed citations
4.
Zhu, Song‐Ping, et al.. (2024). A generalized integral equation formulation for pricing American options under regime-switching model. Journal of Computational and Applied Mathematics. 453. 116016–116016.
5.
Lu, Xiaoping, et al.. (2020). Pricing weather derivatives with the market price of risk extracted from the utility indifference valuation. Computers & Mathematics with Applications. 79(12). 3394–3409. 5 indexed citations
6.
Zhu, Song‐Ping, et al.. (2019). A new simple tree approach for the Heston’s stochastic volatility model. Computers & Mathematics with Applications. 78(6). 1993–2010. 3 indexed citations
7.
Zhu, Song‐Ping & Xin‐Jiang He. (2017). On the convergence of He and Zhu's new series solution for pricing options with the Heston model. Research Online (University of Wollongong). 86(2). 321–327. 2 indexed citations
8.
Zhu, Song‐Ping, et al.. (2017). PRICING EUROPEAN OPTIONS ON REGIME-SWITCHING ASSETS: A COMPARATIVE STUDY OF MONTE CARLO AND FINITE-DIFFERENCE APPROACHES. The ANZIAM Journal. 59(2). 183–199. 3 indexed citations
9.
Bradford, William D., Chao Chen, & Song‐Ping Zhu. (2017). Conservative Accounting, IFRS Convergence and Cash Dividend Payments: Evidence from China. European Financial Management. 23(3). 376–414. 7 indexed citations
10.
Zhu, Song‐Ping, et al.. (2014). Identification and Implications of Relationships Among Pollutant Emission, Economic Structure and Economic Growth in China Through Multivariate Analysis. Journal of Environmental Science and Management. 17(1). 1–1. 8 indexed citations
11.
Zhu, Song‐Ping & Wenting Chen. (2012). Pricing Parisian and Parasian options analytically. Journal of Economic Dynamics and Control. 37(4). 875–896. 13 indexed citations
12.
Zhang, Jin & Song‐Ping Zhu. (2009). A Hybrid Finite Difference Method for Valuing American Puts. Lecture notes in computer science. 2177(1). 1331–1336. 4 indexed citations
13.
Zhu, Song‐Ping, et al.. (2007). A Solenoidal Initial Condition for the Numerical Solution of the Navier-Stokes Equations for Two-Phase Incompressible Flow. Computer Modeling in Engineering & Sciences. 19(1). 1–22. 3 indexed citations
14.
Zhu, Song‐Ping. (2006). An exact and explicit solution for the valuation of American put options. Quantitative Finance. 6(3). 229–242. 186 indexed citations
15.
Zhu, Song‐Ping, et al.. (2005). Numerical experiments of a benchmark hull based on a turbulent free-surface flow model. Computer Modeling in Engineering & Sciences. 9(3). 273–286. 8 indexed citations
16.
Zhu, Song‐Ping. (2001). An innovative open boundary treatment for nonlinear water waves in a numerical wave tank. Computer Modeling in Engineering & Sciences. 2(2). 227–236. 1 indexed citations
17.
Zhu, Song‐Ping, et al.. (2001). Modelling the confinement of spilled oil with floating booms. Applied Mathematical Modelling. 25(9). 713–729. 5 indexed citations
18.
Zhu, Song‐Ping, et al.. (1970). A New Approach For Solving ExteriorProblems With The Dual ReciprocityBoundary Element Method. WIT transactions on modelling and simulation. 1. 2 indexed citations
19.
Zhu, Song‐Ping, et al.. (1970). An Application Of The LTDRM To Non-linearTransient Heat Conduction Problems. WIT transactions on modelling and simulation. 10. 1 indexed citations
20.
Marchant, T. R., et al.. (1970). Modelling microwave heating with DRBEM. WIT transactions on modelling and simulation. 7.

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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