Shanshan Liu

45 papers and 646 indexed citations i.

About

Shanshan Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shanshan Liu has authored 45 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shanshan Liu’s work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (4 papers). Shanshan Liu is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (4 papers). Shanshan Liu collaborates with scholars based in China, United States and Germany. Shanshan Liu's co-authors include Lei Ge, Jinghua Yu, Xianrang Song, Mei Yan, Shenguang Ge, Steven J. Altschuler, Gangyi Jiang, Jungseog Kang, Bruce A. Posner and Lani F. Wu and has published in prestigious journals such as Nature Biotechnology, Hepatology and Optics Express.

In The Last Decade

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

Fields of papers citing papers by Shanshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shanshan Liu

Since Specialization
Citations

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