Xiao Da

44 papers and 1.6k indexed citations i.

About

Xiao Da is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Genetics. According to data from OpenAlex, Xiao Da has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Xiao Da’s work include Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (7 papers). Xiao Da is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (7 papers). Xiao Da collaborates with scholars based in United States, China and Norway. Xiao Da's co-authors include Christos Davatzikos, Mehdi Mirza, Michel Bilello, Yoshua Bengio, Aaron Courville, Ian Goodfellow, Hamed Akbari, Yangming Ou, John Q. Trojanowski and Leslie M. Shaw and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Co-authorship network of co-authors of Xiao Da i

Fields of papers citing papers by Xiao Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiao Da

Since Specialization
Citations

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