Shengtian Sang

23 papers and 211 indexed citations i.

About

Shengtian Sang is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shengtian Sang has authored 23 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shengtian Sang’s work include Bioinformatics and Genomic Networks (7 papers), Topic Modeling (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shengtian Sang is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Topic Modeling (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shengtian Sang collaborates with scholars based in United States, China and Hong Kong. Shengtian Sang's co-authors include Hongfei Lin, Zhihao Yang, Jian Wang, Md Tauhidul Islam, Yijia Zhang, Lei Xing, Yiwei Liu, Jen‐Yeu Wang, Tuanjie Li and Chuanli Chen and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Shengtian Sang i

Fields of papers citing papers by Shengtian Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shengtian Sang

Since Specialization
Citations

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