Jun Gao

165 papers and 4.8k indexed citations i.

About

Jun Gao is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Jun Gao has authored 165 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Nuclear and High Energy Physics, 39 papers in Atomic and Molecular Physics, and Optics and 37 papers in Artificial Intelligence. Recurrent topics in Jun Gao’s work include Particle physics theoretical and experimental studies (75 papers), High-Energy Particle Collisions Research (69 papers) and Quantum Chromodynamics and Particle Interactions (55 papers). Jun Gao is often cited by papers focused on Particle physics theoretical and experimental studies (75 papers), High-Energy Particle Collisions Research (69 papers) and Quantum Chromodynamics and Particle Interactions (55 papers). Jun Gao collaborates with scholars based in China, United States and United Kingdom. Jun Gao's co-authors include C.–P. Yuan, Pavel Nadolsky, Hua Xing Zhu, J. Huston, Daniel R. Stump, Marco Guzzi, Jon Pumplin, Xian‐Min Jin, Tie-Jiun Hou and Carl R. Schmidt and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Advanced Materials.

In The Last Decade

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

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

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Rankless by CCL
2025