Su-Mae Tan

22 papers and 359 indexed citations i.

About

Su-Mae Tan is a scholar working on Sociology and Political Science, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Su-Mae Tan has authored 22 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 8 papers in Artificial Intelligence and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Su-Mae Tan’s work include Digital Marketing and Social Media (8 papers), AI in Service Interactions (7 papers) and Innovative Teaching and Learning Methods (6 papers). Su-Mae Tan is often cited by papers focused on Digital Marketing and Social Media (8 papers), AI in Service Interactions (7 papers) and Innovative Teaching and Learning Methods (6 papers). Su-Mae Tan collaborates with scholars based in Malaysia, New Zealand and Indonesia. Su-Mae Tan's co-authors include Tze Wei Liew, Hishamuddin Ismail, Noraidah Sahari Ashaari, Chin Lay Gan, Susan Pockett, Nor Azan Mat Zin, Si Na Kew and Teck Ming Tan and has published in prestigious journals such as Anesthesia & Analgesia, Telematics and Informatics and The International Review of Research in Open and Distributed Learning.

In The Last Decade

Co-authorship network of co-authors of Su-Mae Tan i

Fields of papers citing papers by Su-Mae Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su-Mae Tan. 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 Su-Mae Tan. The network helps show where Su-Mae Tan may publish in the future.

Countries citing papers authored by Su-Mae Tan

Since Specialization
Citations

This map shows the geographic impact of Su-Mae Tan'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 Su-Mae Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Mae Tan 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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