Quoc Dang Vu

10 papers and 881 indexed citations i.

About

Quoc Dang Vu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Quoc Dang Vu has authored 10 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Quoc Dang Vu’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (3 papers). Quoc Dang Vu is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (3 papers). Quoc Dang Vu collaborates with scholars based in United Kingdom, South Korea and United States. Quoc Dang Vu's co-authors include Jin Tae Kwak, Nasir Rajpoot, Simon Graham, Shan E Ahmed Raza, Ayesha Azam, Yee Wah Tsang, Minh Nguyen Nhat To, Talha Qaiser, Syed Ali Khurram and Tahsin Kurç and has published in prestigious journals such as Journal of Clinical Oncology, Medical Image Analysis and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Quoc Dang Vu i

Fields of papers citing papers by Quoc Dang Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc Dang Vu. 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 Quoc Dang Vu. The network helps show where Quoc Dang Vu may publish in the future.

Countries citing papers authored by Quoc Dang Vu

Since Specialization
Citations

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