Mingyu Feng

31 papers and 498 indexed citations i.

About

Mingyu Feng is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, Mingyu Feng has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 15 papers in Artificial Intelligence and 14 papers in Education. Recurrent topics in Mingyu Feng’s work include Online Learning and Analytics (15 papers), Intelligent Tutoring Systems and Adaptive Learning (13 papers) and Innovative Teaching and Learning Methods (9 papers). Mingyu Feng is often cited by papers focused on Online Learning and Analytics (15 papers), Intelligent Tutoring Systems and Adaptive Learning (13 papers) and Innovative Teaching and Learning Methods (9 papers). Mingyu Feng collaborates with scholars based in United States, Canada and China. Mingyu Feng's co-authors include Neil T. Heffernan, Kenneth R. Koedinger, Jeremy Roschelle, Craig A. Mason, Robert F. Murphy, Joseph E. Beck, Wei Cui, Linda Shear, Shuai Wang and Louise Yarnall and has published in prestigious journals such as Health and Quality of Life Outcomes, Journal of Science Education and Technology and Interactive Learning Environments.

In The Last Decade

Co-authorship network of co-authors of Mingyu Feng i

Fields of papers citing papers by Mingyu Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingyu Feng

Since Specialization
Citations

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