Long Ma

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 Technology Adoption and User Behaviour (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 Technology Adoption and User Behaviour (3 papers). Long Ma collaborates with scholars based in China, Singapore and United States. Long Ma's co-authors include Chei Sian Lee, Dion Hoe‐Lian Goh, Wei Ou, Saeed Siyal, Jin Liu, Kalpina Kumari, Chunlin Xin, Zheng Fang, Gerhard Schrotter and Xiao Ling and has published in prestigious journals such as Computers in Human Behavior, Remote Sensing and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Long Ma i

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Fields of papers citing papers by Long Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Long Ma. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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