Liuren Wu

122 papers and 6.1k indexed citations i.

About

Liuren Wu is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Liuren Wu has authored 122 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Finance, 44 papers in Economics and Econometrics and 27 papers in General Economics, Econometrics and Finance. Recurrent topics in Liuren Wu’s work include Stochastic processes and financial applications (88 papers), Financial Markets and Investment Strategies (50 papers) and Financial Risk and Volatility Modeling (36 papers). Liuren Wu is often cited by papers focused on Stochastic processes and financial applications (88 papers), Financial Markets and Investment Strategies (50 papers) and Financial Risk and Volatility Modeling (36 papers). Liuren Wu collaborates with scholars based in United States, Switzerland and Kazakhstan. Liuren Wu's co-authors include Peter Carr, Markus Leippold, Jing‐Zhi Huang, Peter W. Carr, Silverio Foresi, Gurdip Bakshi, Daniel Egloff, James R. Lothian, Maureen O’Hara and David Easley and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Management Science.

In The Last Decade

Co-authorship network of co-authors of Liuren Wu i

Fields of papers citing papers by Liuren Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liuren Wu

Since Specialization
Citations

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