Shang Gao

40 papers and 757 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 40 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 28 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), Machine Learning in Healthcare (9 papers) and Biomedical Text Mining and Ontologies (9 papers). Shang Gao is often cited by papers focused on Topic Modeling (20 papers), Machine Learning in Healthcare (9 papers) and Biomedical Text Mining and Ontologies (9 papers). Shang Gao collaborates with scholars based in United States, China and Australia. Shang Gao's co-authors include Georgia D. Tourassi, Mohammed Alawad, Xiao‐Cheng Wu, Linda Coyle and Hong‐Jun Yoon and has published in prestigious journals such as PLoS ONE, Earth and Planetary Science Letters and BMC Bioinformatics.

In The Last Decade

Fields of papers citing papers by Shang Gao

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Shang Gao. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025