Siyun Liu

45 papers and 462 indexed citations i.

About

Siyun Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Siyun Liu has authored 45 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Surgery. Recurrent topics in Siyun Liu’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Pregnancy and preeclampsia studies (3 papers). Siyun Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Pregnancy and preeclampsia studies (3 papers). Siyun Liu collaborates with scholars based in China, United States and Poland. Siyun Liu's co-authors include Arthur G. Samuel, Bin Song, Jian Zhao, Fang Yuan, Xin Zhang, Yujun Shi, Jun Zhang, Zhenru Wu, Ying� Qin and Jing Li and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and Computers in Human Behavior.

In The Last Decade

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

Fields of papers citing papers by Siyun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siyun Liu

Since Specialization
Citations

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

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2025