Xiaopeng Song

52 papers and 847 indexed citations i.

About

Xiaopeng Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Xiaopeng Song has authored 52 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Xiaopeng Song’s work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Advanced MRI Techniques and Applications (16 papers). Xiaopeng Song is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and Advanced MRI Techniques and Applications (16 papers). Xiaopeng Song collaborates with scholars based in China, United States and Hong Kong. Xiaopeng Song's co-authors include Yijun Liu, Yonggui Yuan, Weiguo Liu, Yi Zhang, Jia‐Jia Liu, Xiao Hu, Döst Öngür, Fei Du, Brent P. Forester and Zhenghua Hou and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Biological Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Xiaopeng Song i

Fields of papers citing papers by Xiaopeng Song

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 Xiaopeng Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaopeng Song may publish in the future.

Countries citing papers authored by Xiaopeng Song

Since Specialization
Citations

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

Rankless by CCL
2025