Michael Zhu

14 papers and 146 indexed citations i.

About

Michael Zhu is a scholar working on Artificial Intelligence, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Michael Zhu has authored 14 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Sociology and Political Science. Recurrent topics in Michael Zhu’s work include Markov Chains and Monte Carlo Methods (2 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Michael Zhu is often cited by papers focused on Markov Chains and Monte Carlo Methods (2 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Michael Zhu collaborates with scholars based in United States, United Kingdom and China. Michael Zhu's co-authors include X. Sheldon Lin, Chris Clifton, Amir Karami, Mahdi M. Najafabadi, Stefano Ermon, Timothy G. Reese, Yoni Halpern, Dirk‐Bart den Ouden, Jun Zhu and David Sontag and has published in prestigious journals such as Communications of the ACM, Vaccines and Electronics.

In The Last Decade

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

Fields of papers citing papers by Michael Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Zhu

Since Specialization
Citations

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

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