Muyi Li

29 papers and 280 indexed citations i.

About

Muyi Li is a scholar working on Finance, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Muyi Li has authored 29 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 5 papers in Economics and Econometrics and 4 papers in Molecular Biology. Recurrent topics in Muyi Li’s work include Financial Risk and Volatility Modeling (9 papers), Stochastic processes and financial applications (4 papers) and Market Dynamics and Volatility (3 papers). Muyi Li is often cited by papers focused on Financial Risk and Volatility Modeling (9 papers), Stochastic processes and financial applications (4 papers) and Market Dynamics and Volatility (3 papers). Muyi Li collaborates with scholars based in China, United States and Hong Kong. Muyi Li's co-authors include Guodong Li, Wai Keung Li, Yongxiang Huang, Xiaoying Liu, Yang Xiang, Fengsong Liu, Hongmei Jiang, Huixian Wang, Yuming Zhang and Jing Li and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Muyi Li i

Fields of papers citing papers by Muyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muyi Li

Since Specialization
Citations

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