Shuyang Gao

35 papers and 555 indexed citations i.

About

Shuyang Gao is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Shuyang Gao has authored 35 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Molecular Biology and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Shuyang Gao’s work include Complex Network Analysis Techniques (9 papers), Topic Modeling (8 papers) and Speech and dialogue systems (4 papers). Shuyang Gao is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Topic Modeling (8 papers) and Speech and dialogue systems (4 papers). Shuyang Gao collaborates with scholars based in China, United States and Estonia. Shuyang Gao's co-authors include Zhongzhi Zhang, Shuigeng Zhou, Jihong Guan, Dilek Hakkani‐Tür and Tagyoung Chung and has published in prestigious journals such as PLoS ONE, EPL (Europhysics Letters) and The European Physical Journal B.

In The Last Decade

Fields of papers citing papers by Shuyang 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 Shuyang Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shuyang Gao may publish in the future.

Countries citing papers authored by Shuyang Gao

Since Specialization
Citations

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

Rankless by CCL
2025