Yihong Wu

70 papers and 1.7k indexed citations i.

About

Yihong Wu is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Yihong Wu has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 28 papers in Statistics and Probability and 19 papers in Computational Mechanics. Recurrent topics in Yihong Wu’s work include Sparse and Compressive Sensing Techniques (19 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (13 papers). Yihong Wu is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (13 papers). Yihong Wu collaborates with scholars based in United States, China and Israel. Yihong Wu's co-authors include Sergio Verdú, Zongming Ma, Jiaming Xu, Tommaso Cai, Pengkun Yang, Bruce Hajek, Yury Polyanskiy, Shlomo Shamai, Dongning Guo and Ananda Theertha Suresh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

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

Fields of papers citing papers by Yihong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yihong Wu

Since Specialization
Citations

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