Minghui Tai

3 papers and 145 indexed citations i.

About

Minghui Tai is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Minghui Tai has authored 3 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Science Applications and 2 papers in Developmental and Educational Psychology. Recurrent topics in Minghui Tai’s work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Innovative Teaching and Learning Methods (2 papers) and Online Learning and Analytics (2 papers). Minghui Tai is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (3 papers), Innovative Teaching and Learning Methods (2 papers) and Online Learning and Analytics (2 papers). Minghui Tai collaborates with scholars based in United States and Canada. Minghui Tai's co-authors include Kasia Müldner, Ivon Arroyo, Beverly Park Woolf, Dovan Rai and Winslow Burleson and has published in prestigious journals such as Journal of Educational Psychology and International Journal of Artificial Intelligence in Education.

In The Last Decade

Co-authorship network of co-authors of Minghui Tai i

Fields of papers citing papers by Minghui Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minghui Tai. 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 Minghui Tai. The network helps show where Minghui Tai may publish in the future.

Countries citing papers authored by Minghui Tai

Since Specialization
Citations

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