Jin Feng

19 papers and 559 indexed citations i.

About

Jin Feng is a scholar working on Finance, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Jin Feng has authored 19 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 6 papers in Applied Mathematics and 5 papers in Statistics and Probability. Recurrent topics in Jin Feng’s work include Stochastic processes and financial applications (8 papers), Optimal Transport in Geometry and Analysis (6 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jin Feng is often cited by papers focused on Stochastic processes and financial applications (8 papers), Optimal Transport in Geometry and Analysis (6 papers) and Markov Chains and Monte Carlo Methods (3 papers). Jin Feng collaborates with scholars based in United States, China and Italy. Jin Feng's co-authors include Thomas G. Kurtz, David Nualart, Luigi Ambrosio, Markos A. Katsoulakis, Martin Forde, Jean‐Pierre Fouque, Truyen Nguyen, Rohini Kumar, Andrzej Święch and Frédéri Viens and has published in prestigious journals such as Communications in Mathematical Physics, Statistics in Medicine and Transactions of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Jin Feng i

Fields of papers citing papers by Jin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Feng

Since Specialization
Citations

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