Quande Liu

11 papers and 871 indexed citations i.

About

Quande Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Quande Liu has authored 11 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Quande Liu’s work include COVID-19 diagnosis using AI (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (3 papers). Quande Liu is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (3 papers). Quande Liu collaborates with scholars based in Hong Kong, China and United States. Quande Liu's co-authors include Qi Dou, Pheng‐Ann Heng, Lequan Yu, Cheng Chen, Jing Qin, Luyang Luo, Ben Glocker, Xi Wang, Yueming Jin and Hao Chen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics and Frontiers in Cardiovascular Medicine.

In The Last Decade

Co-authorship network of co-authors of Quande Liu i

Fields of papers citing papers by Quande Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quande Liu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025