Siying Li

33 papers and 392 indexed citations i.

About

Siying Li is a scholar working on Oncology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Siying Li has authored 33 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Siying Li’s work include AI in cancer detection (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Siying Li is often cited by papers focused on AI in cancer detection (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Siying Li collaborates with scholars based in China, United States and Canada. Siying Li's co-authors include Ming Hong, Jinke Li, Mohammed M. Almutairi, Tianfu Wang, Guanghui Yue, Tianwei Zhou, Wei Wei, Xiaomei Cong, Min Xie and Yiming Zhang and has published in prestigious journals such as Environmental Science & Technology, NeuroImage and Journal of Hazardous Materials.

In The Last Decade

Co-authorship network of co-authors of Siying Li i

Fields of papers citing papers by Siying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siying Li

Since Specialization
Citations

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