Song‐Ping Zhu

194 papers and 3.0k indexed citations i.

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 194 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Finance, 37 papers in Economics and Econometrics and 31 papers in Computational Mechanics. Recurrent topics in Song‐Ping Zhu’s work include Stochastic processes and financial applications (109 papers), Financial Risk and Volatility Modeling (42 papers) and Financial Markets and Investment Strategies (36 papers). Song‐Ping Zhu is often cited by papers focused on Stochastic processes and financial applications (109 papers), Financial Risk and Volatility Modeling (42 papers) and Financial Markets and Investment Strategies (36 papers). Song‐Ping Zhu collaborates with scholars based in Australia, China and United States. Song‐Ping Zhu's co-authors include Guanghua Lian, Wenting Chen, Xin‐Jiang He, Xiang Xu, Xiaoping Lu, Jean-Roch Nader, Paul Cooper, Yinglong Zhang, Chao Chen and Huan‐Wen Liu and has published in prestigious journals such as Journal of Fluid Mechanics, Automatica and European Journal of Operational Research.

In The Last Decade

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

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.

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).

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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2025