Long Wang

951 papers and 27.6k indexed citations i.

About

Long Wang is a scholar working on Computer Networks and Communications, Sociology and Political Science and Control and Systems Engineering. According to data from OpenAlex, Long Wang has authored 951 papers receiving a total of 27.6k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Computer Networks and Communications, 182 papers in Sociology and Political Science and 158 papers in Control and Systems Engineering. Recurrent topics in Long Wang’s work include Distributed Multi-Agent Coordination and Control (191 papers), Evolutionary Game Theory and Cooperation (179 papers) and Evolution and Genetic Dynamics (133 papers). Long Wang is often cited by papers focused on Distributed Multi-Agent Coordination and Control (191 papers), Evolutionary Game Theory and Cooperation (179 papers) and Evolution and Genetic Dynamics (133 papers). Long Wang collaborates with scholars based in China, United States and Canada. Long Wang's co-authors include Guangming Xie, Feng Xiao, Feng Fu, Yuanshi Zheng, Xiaojie Chen, Te Wu, Yuan Sun, Yanping Gao, Tianguang Chu and Zhang Li and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Long Wang i

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Wang

Since Specialization
Citations

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