Ge-Ge Wu

10 papers and 590 indexed citations i.

About

Ge-Ge Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ge-Ge Wu has authored 10 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Ge-Ge Wu’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Ultrasound Imaging and Elastography (3 papers). Ge-Ge Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Ultrasound Imaging and Elastography (3 papers). Ge-Ge Wu collaborates with scholars based in China, Germany and Hong Kong. Ge-Ge Wu's co-authors include Christoph F. Dietrich, Xin‐Wu Cui, Liqiang Zhou, Qi Wei, Youbin Deng, Xinglong Wu, Shuyan Huang, Hua-Rong Ye, Xingrui Li and Song-Yuan Yu and has published in prestigious journals such as Radiology, World Journal of Gastroenterology and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Ge-Ge Wu i

Fields of papers citing papers by Ge-Ge Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ge-Ge Wu. 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 Ge-Ge Wu. The network helps show where Ge-Ge Wu may publish in the future.

Countries citing papers authored by Ge-Ge Wu

Since Specialization
Citations

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