Yu Gao

47 papers and 891 indexed citations i.

About

Yu Gao is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Yu Gao has authored 47 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Nuclear and High Energy Physics, 21 papers in Astronomy and Astrophysics and 3 papers in Artificial Intelligence. Recurrent topics in Yu Gao’s work include Particle physics theoretical and experimental studies (30 papers), Dark Matter and Cosmic Phenomena (30 papers) and Cosmology and Gravitation Theories (20 papers). Yu Gao is often cited by papers focused on Particle physics theoretical and experimental studies (30 papers), Dark Matter and Cosmic Phenomena (30 papers) and Cosmology and Gravitation Theories (20 papers). Yu Gao collaborates with scholars based in United States, China and South Korea. Yu Gao's co-authors include Bhaskar Dutta, V. Barger, Danny Marfatia, Tathagata Ghosh, Yin-Zhe Ma, Louis E. Strigari, T. Kamon, Tianjun Li, Wai-Yee Keung and Rouzbeh Allahverdi and has published in prestigious journals such as The Astrophysical Journal, The Science of The Total Environment and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

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

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

Countries citing papers authored by Yu Gao

Since Specialization
Citations

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

Rankless by CCL
2025