Song Gu

10 papers and 245 indexed citations i.

About

Song Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Oncology. According to data from OpenAlex, Song Gu has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Neurology and 2 papers in Oncology. Recurrent topics in Song Gu’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), Brain Tumor Detection and Classification (2 papers) and Glioma Diagnosis and Treatment (2 papers). Song Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Brain Tumor Detection and Classification (2 papers) and Glioma Diagnosis and Treatment (2 papers). Song Gu collaborates with scholars based in China, United States and Germany. Song Gu's co-authors include Barbara Laumbacher, Norbert Mueller, Yichi Zhang, Xin Liu, Cheng Ge, Shucheng Cao, Xiaoping Yang, Shangqing Liu, Qi Zhang and Congcong Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Song Gu i

Fields of papers citing papers by Song Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Gu

Since Specialization
Citations

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