Bin Song

37 papers and 398 indexed citations i.

About

Bin Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology. According to data from OpenAlex, Bin Song has authored 37 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Hepatology and 12 papers in Oncology. Recurrent topics in Bin Song’s work include Radiomics and Machine Learning in Medical Imaging (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and MRI in cancer diagnosis (8 papers). Bin Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers) and MRI in cancer diagnosis (8 papers). Bin Song collaborates with scholars based in China, United States and Switzerland. Bin Song's co-authors include Helmut Sigel, Roland K. O. Sigel, Hanyu Jiang, Ting Duan, Chencui Huang, Mou Li, Hong Wei, Bernhard Lippert, Yali Zhao and Yongchang Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Radiology.

In The Last Decade

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Song

Since Specialization
Citations

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