Xiangnan Feng

35 papers and 490 indexed citations i.

About

Xiangnan Feng is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiangnan Feng has authored 35 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiangnan Feng’s work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods and Bayesian Inference (7 papers). Xiangnan Feng is often cited by papers focused on Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods and Bayesian Inference (7 papers). Xiangnan Feng collaborates with scholars based in China, Hong Kong and United States. Xiangnan Feng's co-authors include Xinyuan Song, Jingwei Zhao, Kang Xu, Weiwei Cao, Hong Zhang, Guochang Wang, Shuang Ma, Xinyuan Song, Hao‐Tian Wu and Yifan Wang and has published in prestigious journals such as Journal of the American Statistical Association, British Journal of Pharmacology and Statistics in Medicine.

In The Last Decade

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

Fields of papers citing papers by Xiangnan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiangnan Feng

Since Specialization
Citations

This map shows the geographic impact of Xiangnan 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 Xiangnan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangnan 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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2025