Dandan Tu

5 papers and 139 indexed citations i.

About

Dandan Tu is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dandan Tu has authored 5 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dandan Tu’s work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neural Network Applications (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). Dandan Tu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neural Network Applications (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). Dandan Tu collaborates with scholars based in China, Hong Kong and United Kingdom. Dandan Tu's co-authors include Xiaowu Liu, Jia Liu, Changde Li, Xi Long, Yongchao Xu, Changzheng Zhang, Osamah Alwalid, Philip H. S. Torr, Lixin Qin and Chunhua Zhou and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Dandan Tu i

Fields of papers citing papers by Dandan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dandan Tu

Since Specialization
Citations

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