Guang Yu

71 papers and 814 indexed citations i.

About

Guang Yu is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Guang Yu has authored 71 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Information Systems and 15 papers in Sociology and Political Science. Recurrent topics in Guang Yu’s work include scientometrics and bibliometrics research (14 papers), Complex Network Analysis Techniques (14 papers) and Opinion Dynamics and Social Influence (9 papers). Guang Yu is often cited by papers focused on scientometrics and bibliometrics research (14 papers), Complex Network Analysis Techniques (14 papers) and Opinion Dynamics and Social Influence (9 papers). Guang Yu collaborates with scholars based in China, Norway and Hong Kong. Guang Yu's co-authors include Daren Yu, Mingyang Wang, Liang Wang, Yu Tian, Donghui Yang, Pengyu Li, Xiangbin Yan, Xiaohong Wang, Shuang An and Yilong Wang and has published in prestigious journals such as Langmuir, IEEE Access and Journal of Materials Processing Technology.

In The Last Decade

Co-authorship network of co-authors of Guang Yu i

Fields of papers citing papers by Guang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Yu

Since Specialization
Citations

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