Yun Luo

About

Yun Luo is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Yun Luo has authored 33 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Yun Luo’s work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo collaborates with scholars based in China, United States and India. Yun Luo's co-authors include Jeffrey G. Catalano, Andrew J. Frierdich, Shiliang Su, Daniel E. Giammar, Linden Huhmann, Changbin Yu, Xin Jing, Lirong Hu, Min Weng and Shenjing He and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Geology.

In The Last Decade

Co-authorship network of co-authors of Yun Luo i

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Fields of papers citing papers by Yun Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Luo

Since Specialization

Citations

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