Ying Tao

12 papers and 349 indexed citations i.

About

Ying Tao is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ying Tao has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Ying Tao’s work include Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Ying Tao is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (4 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Ying Tao collaborates with scholars based in United States, China and Portugal. Ying Tao's co-authors include Yun Bai, Yves A. Lussier, Chuan Li, Carol Friedman, Shuai Yang, Lee Sam, Jianrong Li, Yang Liu, Chao Liu and Jingjing Xie and has published in prestigious journals such as Bioinformatics, Energy and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ying Tao i

Fields of papers citing papers by Ying Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Tao

Since Specialization
Citations

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