Jennifer Pei-Ling Tan

14 papers and 260 indexed citations i.

About

Jennifer Pei-Ling Tan is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Jennifer Pei-Ling Tan has authored 14 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Education, 5 papers in Computer Science Applications and 5 papers in Developmental and Educational Psychology. Recurrent topics in Jennifer Pei-Ling Tan’s work include Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and Online and Blended Learning (3 papers). Jennifer Pei-Ling Tan is often cited by papers focused on Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and Online and Blended Learning (3 papers). Jennifer Pei-Ling Tan collaborates with scholars based in Singapore, Hong Kong and United Kingdom. Jennifer Pei-Ling Tan's co-authors include Erica McWilliam, Gregory Arief D. Liem, Suzanne S. Choo, Elizabeth Koh, Imelda S. Caleon, Carola Conle, Beverly A. Shipley, John M. Starr, Ian J. Deary and Ronnel B. King and has published in prestigious journals such as Neuropsychologia, Teaching and Teacher Education and The Breast.

In The Last Decade

Co-authorship network of co-authors of Jennifer Pei-Ling Tan i

Fields of papers citing papers by Jennifer Pei-Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Pei-Ling Tan

Since Specialization
Citations

This map shows the geographic impact of Jennifer Pei-Ling 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 Jennifer Pei-Ling Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Pei-Ling 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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2025