Lan Dao

6 papers and 675 indexed citations i.

About

Lan Dao is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Lan Dao has authored 6 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 1 paper in Molecular Biology. Recurrent topics in Lan Dao’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Reconstructive Surgery and Microvascular Techniques (2 papers). Lan Dao is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Reconstructive Surgery and Microvascular Techniques (2 papers). Lan Dao collaborates with scholars based in Canada, United States and Germany. Lan Dao's co-authors include Paul Morrison, Timothy Q. Duong, Joseph Cohen, Karsten Roth, Yoshua Bengio, Haifang Li, Beiyi Shen, Marzyeh Ghassemi, Michel Alain Danino and Johnny Ionut Efanov and has published in prestigious journals such as Plastic & Reconstructive Surgery, British Journal of Radiology and Burns.

In The Last Decade

Co-authorship network of co-authors of Lan Dao i

Fields of papers citing papers by Lan Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Dao

Since Specialization
Citations

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