Shang Gao

41 papers and 782 indexed citations i.

About

Shang Gao is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Shang Gao has authored 41 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 13 papers in Molecular Biology and 4 papers in Materials Chemistry. Recurrent topics in Shang Gao’s work include Topic Modeling (20 papers), Biomedical Text Mining and Ontologies (9 papers) and Machine Learning in Healthcare (9 papers). Shang Gao is often cited by papers focused on Topic Modeling (20 papers), Biomedical Text Mining and Ontologies (9 papers) and Machine Learning in Healthcare (9 papers). Shang Gao collaborates with scholars based in United States, China and Australia. Shang Gao's co-authors include Georgia D. Tourassi, M. Todd Young, Hong‐Jun Yoon, Arvind Ramanathan, Yongsheng Liu, Cin‐Ty A. Lee, Huamao Yuan, Xiaoming Liu, Xiao‐Cheng Wu and Linda Coyle and has published in prestigious journals such as PLoS ONE, Earth and Planetary Science Letters and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Shang Gao i

Fields of papers citing papers by Shang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shang Gao

Since Specialization
Citations

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