Long Ma

18 papers and 1.2k indexed citations i.

About

Long Ma is a scholar working on Sociology and Political Science, Computer Science Applications and Communication. According to data from OpenAlex, Long Ma has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 7 papers in Computer Science Applications and 4 papers in Communication. Recurrent topics in Long Ma’s work include Digital Marketing and Social Media (6 papers), Online Learning and Analytics (6 papers) and Social Media and Politics (3 papers). Long Ma is often cited by papers focused on Digital Marketing and Social Media (6 papers), Online Learning and Analytics (6 papers) and Social Media and Politics (3 papers). Long Ma collaborates with scholars based in China, Singapore and United States. Long Ma's co-authors include Chei Sian Lee, Gerhard Schrotter, Saeed Siyal and Kalpina Kumari and has published in prestigious journals such as Computers in Human Behavior, Remote Sensing and International Journal of Consumer Studies.

In The Last Decade

Fields of papers citing papers by Long Ma

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

Countries citing papers authored by Long Ma

Since Specialization
Citations

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

Rankless by CCL
2025