Min Chi

69 papers and 466 indexed citations i.

About

Min Chi is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Min Chi has authored 69 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 24 papers in Computer Science Applications and 17 papers in Developmental and Educational Psychology. Recurrent topics in Min Chi’s work include Intelligent Tutoring Systems and Adaptive Learning (36 papers), Online Learning and Analytics (19 papers) and Innovative Teaching and Learning Methods (13 papers). Min Chi is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (36 papers), Online Learning and Analytics (19 papers) and Innovative Teaching and Learning Methods (13 papers). Min Chi collaborates with scholars based in United States, China and Brazil. Min Chi's co-authors include Kurt VanLehn, Pamela Jordan, Diane Litman, Tiffany Barnes, Chen Lin, Doris B. Chin, Daniel L. Schwartz, Kenneth R. Koedinger, Yuan Zhang and Shitian Shen and has published in prestigious journals such as Construction and Building Materials, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Min Chi i

Fields of papers citing papers by Min Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Chi

Since Specialization
Citations

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