Yuehan Yang

37 papers and 289 indexed citations i.

About

Yuehan Yang is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yuehan Yang has authored 37 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Yuehan Yang’s work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Yuehan Yang is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (10 papers) and Sparse and Compressive Sensing Techniques (5 papers). Yuehan Yang collaborates with scholars based in China, United States and Canada. Yuehan Yang's co-authors include Hanzhong Liu, Lan Wu, Xiaotong Gao, Tao Dai, Chengwen Zhong, Sha Liu, Hu Yang, Binghui Li, Ji Zhu and Elena Nicoladis and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Computational Physics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Yuehan Yang i

Fields of papers citing papers by Yuehan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuehan Yang

Since Specialization
Citations

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