Peng Song

91 papers and 1.8k indexed citations i.

About

Peng Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Peng Song has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 29 papers in Signal Processing. Recurrent topics in Peng Song’s work include Face and Expression Recognition (39 papers), Emotion and Mood Recognition (26 papers) and Speech and Audio Processing (24 papers). Peng Song is often cited by papers focused on Face and Expression Recognition (39 papers), Emotion and Mood Recognition (26 papers) and Speech and Audio Processing (24 papers). Peng Song collaborates with scholars based in China, United States and Finland. Peng Song's co-authors include Wenming Zheng, Tengfei Song, Zhen Cui, Jiye Liang, G. Michael Morris, Xiangyu Liu, Yanwei Yu, Zhiqiang Wang, Yuhua Qian and Weijian Zhang and has published in prestigious journals such as Optics Letters, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

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

Countries citing papers authored by Peng Song

Since Specialization
Citations

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

Rankless by CCL
2025