May Yuan

50 papers and 1.4k indexed citations i.

About

May Yuan is a scholar working on Geography, Planning and Development, Signal Processing and Transportation. According to data from OpenAlex, May Yuan has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Geography, Planning and Development, 14 papers in Signal Processing and 11 papers in Transportation. Recurrent topics in May Yuan’s work include Geographic Information Systems Studies (22 papers), Data Management and Algorithms (14 papers) and Human Mobility and Location-Based Analysis (9 papers). May Yuan is often cited by papers focused on Geographic Information Systems Studies (22 papers), Data Management and Algorithms (14 papers) and Human Mobility and Location-Based Analysis (9 papers). May Yuan collaborates with scholars based in United States, Canada and Switzerland. May Yuan's co-authors include Michael Kaspari, Michael F. Goodchild, Thomas J. Cova, Leeanne Alonso, Philip S. Ward, Robert Dudley, Stephen P. Yanoviak, Natalie A. Clay, John A. McIntosh and Soe W. Myint and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Oecologia.

In The Last Decade

Co-authorship network of co-authors of May Yuan i

Fields of papers citing papers by May Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by May Yuan

Since Specialization
Citations

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