Lily Liang

20 papers and 421 indexed citations i.

About

Lily Liang is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Lily Liang has authored 20 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Lily Liang’s work include AI-based Problem Solving and Planning (3 papers), Neural Networks and Applications (2 papers) and Influenza Virus Research Studies (2 papers). Lily Liang is often cited by papers focused on AI-based Problem Solving and Planning (3 papers), Neural Networks and Applications (2 papers) and Influenza Virus Research Studies (2 papers). Lily Liang collaborates with scholars based in United States and China. Lily Liang's co-authors include Carl G. Looney, Sudip Mukherjee, Omid Veiseh, John F. Warner, Stella Chang, Vinay Prasad Mandal, Yi Lu, Deepak Kumar, Jeff Fairman and Dong Hyun Jeong and has published in prestigious journals such as American Journal of Preventive Medicine, BMC Bioinformatics and Medicine.

In The Last Decade

Co-authorship network of co-authors of Lily Liang i

Fields of papers citing papers by Lily Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lily Liang

Since Specialization
Citations

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