Jianmin Dai

10 papers and 129 indexed citations i.

About

Jianmin Dai is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Jianmin Dai has authored 10 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 3 papers in Computer Science Applications. Recurrent topics in Jianmin Dai’s work include Innovative Teaching and Learning Methods (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Teaching and Learning Programming (2 papers). Jianmin Dai is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Teaching and Learning Programming (2 papers). Jianmin Dai collaborates with scholars based in United States and China. Jianmin Dai's co-authors include Danielle S. McNamara, Scott A. Crossley, Laura K. Allen, Rod D. Roscoe, Kathryn S. McCarthy, Matthew E. Jacovina, Erica L. Snow, Jennifer L. Weston, Li Zhu and Xiangen Hu and has published in prestigious journals such as Journal of Research on Technology in Education, Assessing Writing and Journal of Tsinghua University(Science and Technology).

In The Last Decade

Co-authorship network of co-authors of Jianmin Dai i

Fields of papers citing papers by Jianmin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jianmin Dai

Since Specialization
Citations

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