Meng­meng Song

21 papers and 442 indexed citations i.

About

Meng­meng Song is a scholar working on Sociology and Political Science, Artificial Intelligence and Marketing. According to data from OpenAlex, Meng­meng Song has authored 21 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 8 papers in Artificial Intelligence and 7 papers in Marketing. Recurrent topics in Meng­meng Song’s work include Digital Marketing and Social Media (16 papers), AI in Service Interactions (8 papers) and Technology Adoption and User Behaviour (6 papers). Meng­meng Song is often cited by papers focused on Digital Marketing and Social Media (16 papers), AI in Service Interactions (8 papers) and Technology Adoption and User Behaviour (6 papers). Meng­meng Song collaborates with scholars based in China, South Korea and United States. Meng­meng Song's co-authors include Xinyu Xing, Jian Mou, Yucong Duan, Yucong Duan, Jason Cohen, Lin Qiao, Jinnan Wu, Rob Law, Hongyu Chen and Yaxin Zhu and has published in prestigious journals such as Annals of Tourism Research, Frontiers in Psychology and International Journal of Hospitality Management.

In The Last Decade

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

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

Countries citing papers authored by Meng­meng Song

Since Specialization
Citations

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

Rankless by CCL
2025