Song Yao-wu

16 papers and 421 indexed citations i.

About

Song Yao-wu is a scholar working on Artificial Intelligence, Geophysics and Cognitive Neuroscience. According to data from OpenAlex, Song Yao-wu has authored 16 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Geophysics and 4 papers in Cognitive Neuroscience. Recurrent topics in Song Yao-wu’s work include Geochemistry and Geologic Mapping (9 papers), Geological and Geochemical Analysis (5 papers) and Geological Modeling and Analysis (4 papers). Song Yao-wu is often cited by papers focused on Geochemistry and Geologic Mapping (9 papers), Geological and Geochemical Analysis (5 papers) and Geological Modeling and Analysis (4 papers). Song Yao-wu collaborates with scholars based in China, Canada and Australia. Song Yao-wu's co-authors include Changhai Yan, Shouting Zhang, Gongwen Wang, Jiangwei Han, Hong‐Yan Bi, Yue Sun, Dong Li, Ruixi Li, Li Dong and Xiaoming Liu and has published in prestigious journals such as PLoS ONE, Computers & Geosciences and Journal of Asian Earth Sciences.

In The Last Decade

Co-authorship network of co-authors of Song Yao-wu i

Fields of papers citing papers by Song Yao-wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Yao-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 Song Yao-wu. The network helps show where Song Yao-wu may publish in the future.

Countries citing papers authored by Song Yao-wu

Since Specialization
Citations

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