Juan Song

60 papers and 1.3k indexed citations i.

About

Juan Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Juan Song has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Human-Computer Interaction. Recurrent topics in Juan Song’s work include Human Pose and Action Recognition (7 papers), Gesture Recognition in Human-Computer Interaction (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Juan Song is often cited by papers focused on Human Pose and Action Recognition (7 papers), Gesture Recognition in Human-Computer Interaction (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Juan Song collaborates with scholars based in China, Australia and United States. Juan Song's co-authors include Peiyi Shen, Liang Zhang, Guangming Zhu, Justin Tan, Zhenjun Tang, Xianquan Zhang, Shengmei Zhou, Michael C. Fishbein, Masahiro Ogawa and Peng‐Sheng Chen and has published in prestigious journals such as Circulation, ACS Catalysis and Journal of International Business Studies.

In The Last Decade

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

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

Countries citing papers authored by Juan Song

Since Specialization
Citations

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

Rankless by CCL
2025