Weixing Song

47 papers and 381 indexed citations i.

About

Weixing Song is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Weixing Song has authored 47 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Weixing Song’s work include Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (26 papers) and Statistical Methods and Bayesian Inference (13 papers). Weixing Song is often cited by papers focused on Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (26 papers) and Statistical Methods and Bayesian Inference (13 papers). Weixing Song collaborates with scholars based in United States, China and Australia. Weixing Song's co-authors include Hira L. Koul, Weixin Yao, Jianhong Shi, Weiqun Wang, Jianteng Xu, Benjamin B. Katz, John M. Tomich, Yanting Shen, Davina Rhodes and Xiaoyu Su and has published in prestigious journals such as Journal of Hazardous Materials, The FASEB Journal and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Weixing Song i

Fields of papers citing papers by Weixing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weixing Song

Since Specialization
Citations

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