Xiangnan Feng

37 papers and 482 indexed citations
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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 37 papers receiving a total of 482 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), Statistical Methods and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (7 papers). Xiangnan Feng is often cited by papers focused on Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (7 papers). Xiangnan Feng collaborates with scholars based in China, United States and Hong Kong. Xiangnan Feng's co-authors include Xinyuan Song, Hong Zhang, Weiwei Cao, Guochang Wang, Xinyuan Song, Shuang Ma, Hao‐Tian Wu, Yifan Wang, Yiwei Li and Xiaolin Lin 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

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangnan Feng. A scholar is included among the top collaborators of Xiangnan Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiangnan Feng. Xiangnan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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2026