Yang P. Liu

20 papers and 98 indexed citations i.

About

Yang P. Liu is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Yang P. Liu has authored 20 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 9 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in Yang P. Liu’s work include Combinatorial Optimization and Complexity Theory (15 papers), Markov Chains and Monte Carlo Methods (8 papers) and Advanced Graph Theory Research (6 papers). Yang P. Liu is often cited by papers focused on Combinatorial Optimization and Complexity Theory (15 papers), Markov Chains and Monte Carlo Methods (8 papers) and Advanced Graph Theory Research (6 papers). Yang P. Liu collaborates with scholars based in United States, Canada and Switzerland. Yang P. Liu's co-authors include Aaron Sidford, Maximilian Probst Gutenberg, Rasmus Kyng, Sushant Sachdeva, Li Chen, Richard Peng, Yufei Zhao, Jan van den Brand, Shiri Chechik and Li Chen and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Yang P. Liu i

Fields of papers citing papers by Yang P. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang P. Liu

Since Specialization
Citations

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