Lang Wu

71 papers and 1.4k indexed citations i.

About

Lang Wu is a scholar working on Statistics and Probability, Artificial Intelligence and Virology. According to data from OpenAlex, Lang Wu has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Statistics and Probability, 31 papers in Artificial Intelligence and 8 papers in Virology. Recurrent topics in Lang Wu’s work include Statistical Methods and Bayesian Inference (45 papers), Statistical Methods and Inference (40 papers) and Bayesian Methods and Mixture Models (27 papers). Lang Wu is often cited by papers focused on Statistical Methods and Bayesian Inference (45 papers), Statistical Methods and Inference (40 papers) and Bayesian Methods and Mixture Models (27 papers). Lang Wu collaborates with scholars based in Canada, United States and China. Lang Wu's co-authors include Michael D. Perlman, Wei Liu, Hulin Wu, Yangxin Huang, Janet A. Lohan, L. Clark Johnson, Shirley A. Murphy, X. Joan Hu, Grace Y. Yi and Miriam P. Rosin and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Lang Wu i

Fields of papers citing papers by Lang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lang Wu

Since Specialization
Citations

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