Kun Wu

21 papers and 170 indexed citations i.

About

Kun Wu is a scholar working on Infectious Diseases, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kun Wu has authored 21 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kun Wu’s work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (4 papers). Kun Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (4 papers). Kun Wu collaborates with scholars based in China, United States and Hong Kong. Kun Wu's co-authors include Wen‐mei Hwu, Robert Wang, Yunkai Deng, Sitao Huang, Deming Chen, Feng Zhang, Jinglin Zhang, Mingcong Song, Yabo Liu and Jinjun Xiong and has published in prestigious journals such as Chemical Communications, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Kun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Wu

Since Specialization
Citations

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