Dan Fu

48 papers and 274 indexed citations i.

About

Dan Fu is a scholar working on Global and Planetary Change, Atmospheric Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dan Fu has authored 48 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dan Fu’s work include Climate variability and models (18 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (9 papers). Dan Fu is often cited by papers focused on Climate variability and models (18 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (9 papers). Dan Fu collaborates with scholars based in China, United States and Hong Kong. Dan Fu's co-authors include Ping Chang, Christina M. Patricola, R. Saravanan, Xingtao Zhou, Xue Liu, Lin Wang, Pengyuan Li, Guowei Chen, Lixin Wu and Xiaohui Ma and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Climate.

In The Last Decade

Co-authorship network of co-authors of Dan Fu i

Fields of papers citing papers by Dan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Fu

Since Specialization
Citations

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