Dai Feng

59 total papers · 770 total citations
39 papers, 422 citations indexed

About

Dai Feng is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Dai Feng has authored 39 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Dai Feng’s work include Statistical Methods and Inference (11 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods in Clinical Trials (6 papers). Dai Feng is often cited by papers focused on Statistical Methods and Inference (11 papers), Bayesian Methods and Mixture Models (7 papers) and Statistical Methods in Clinical Trials (6 papers). Dai Feng collaborates with scholars based in United States, China and United Kingdom. Dai Feng's co-authors include Lili Zhao, Richard Baumgartner, Vladimir Svetnik, Giuliana Cortese, Daniel E. Weeks, Luke Tierney, Subba Rao Indugula, Ranjan Deka, Satupaitea Viali and Karolina A. Åberg and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and PLoS ONE.

Co-authorship network of co-authors of Dai Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Feng. A scholar is included among the top collaborators of Dai 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 Dai Feng. Dai Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Dai Feng

38 papers receiving 415 citations

Fields of papers citing papers by Dai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Feng

Since Specialization
Citations

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