Liang Peng

157 papers and 2.7k indexed citations i.

About

Liang Peng is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Liang Peng has authored 157 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Finance, 94 papers in Statistics and Probability and 38 papers in General Economics, Econometrics and Finance. Recurrent topics in Liang Peng’s work include Financial Risk and Volatility Modeling (95 papers), Statistical Methods and Inference (71 papers) and Monetary Policy and Economic Impact (37 papers). Liang Peng is often cited by papers focused on Financial Risk and Volatility Modeling (95 papers), Statistical Methods and Inference (71 papers) and Monetary Policy and Economic Impact (37 papers). Liang Peng collaborates with scholars based in United States, China and The Netherlands. Liang Peng's co-authors include Laurens de Haan, Yongcheng Qi, Casper G. de Vries, Jón Danı́elsson, Ruodu Wang, Ngai Hang Chan, Jingping Yang, Deyuan Li, Claudia Klüppelberg and Song Xi Chen and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Liang Peng i

Fields of papers citing papers by Liang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang Peng

Since Specialization
Citations

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