Sijia Liu

136 papers and 2.6k indexed citations i.

About

Sijia Liu is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Sijia Liu has authored 136 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 49 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in Sijia Liu’s work include Biomedical Text Mining and Ontologies (39 papers), Topic Modeling (27 papers) and Machine Learning in Healthcare (14 papers). Sijia Liu is often cited by papers focused on Biomedical Text Mining and Ontologies (39 papers), Topic Modeling (27 papers) and Machine Learning in Healthcare (14 papers). Sijia Liu collaborates with scholars based in United States, China and Estonia. Sijia Liu's co-authors include Hongfang Liu, Yanshan Wang, Feichen Shen, Liwei Wang, Sunghwan Sohn, Majid Rastegar-Mojarad, Naveed Afzal, Sungrim Moon, Pin‐Yu Chen and Saeed Mehrabi and has published in prestigious journals such as The Lancet, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

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

Fields of papers citing papers by Sijia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sijia Liu

Since Specialization
Citations

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