Jun Wu

125 papers and 1.5k indexed citations i.

About

Jun Wu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Jun Wu has authored 125 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistical and Nonlinear Physics, 29 papers in Computer Networks and Communications and 19 papers in Management Science and Operations Research. Recurrent topics in Jun Wu’s work include Complex Network Analysis Techniques (53 papers), Opinion Dynamics and Social Influence (30 papers) and Graph theory and applications (14 papers). Jun Wu is often cited by papers focused on Complex Network Analysis Techniques (53 papers), Opinion Dynamics and Social Influence (30 papers) and Graph theory and applications (14 papers). Jun Wu collaborates with scholars based in China, United States and United Kingdom. Jun Wu's co-authors include Hongzhong Deng, Yuejin Tan, Mauricio Barahona, Guansheng Peng, Ye Deng, Yong Li, Xin Lü, M. Hamilton, E. Monroy and Manijeh Razeghi and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Jun Wu i

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Wu

Since Specialization
Citations

This map shows the geographic impact of Jun Wu'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 Jun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wu 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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2025