Yeying Zhu

25 papers and 290 indexed citations i.

About

Yeying Zhu is a scholar working on Statistics and Probability, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Yeying Zhu has authored 25 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 6 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Yeying Zhu’s work include Advanced Causal Inference Techniques (14 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (9 papers). Yeying Zhu is often cited by papers focused on Advanced Causal Inference Techniques (14 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (9 papers). Yeying Zhu collaborates with scholars based in Canada, United States and China. Yeying Zhu's co-authors include Debashis Ghosh, Donna L. Coffman, Peng Hu, Wei Luo, Cecilia A. Cotton, Jennifer S. Savage, Yuying Xie, Pan Wu, Bhramar Mukherjee and Halim Yanıkömeroğlu and has published in prestigious journals such as Biometrika, Statistics in Medicine and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yeying Zhu i

Fields of papers citing papers by Yeying Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeying Zhu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025