Jin Mu

9 papers and 81 indexed citations i.

About

Jin Mu is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Jin Mu has authored 9 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental and Educational Psychology, 3 papers in Artificial Intelligence and 3 papers in Education. Recurrent topics in Jin Mu’s work include Innovative Teaching and Learning Methods (4 papers), Enhanced Recovery After Surgery Protocols (1 paper) and Online Learning and Analytics (1 paper). Jin Mu is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Enhanced Recovery After Surgery Protocols (1 paper) and Online Learning and Analytics (1 paper). Jin Mu collaborates with scholars based in Germany, United States and Hong Kong. Jin Mu's co-authors include Karsten Stegmann, Frank Fischer, Carolyn Penstein Rosé, Elijah Mayfield, Stefan Ufer, Jan van Aalst, Yuqin Yang, Miaomiao Wen, Alyssa Friend Wise and Jonna Malmberg and has published in prestigious journals such as Cancer Epidemiology Biomarkers & Prevention, European Journal of Anaesthesiology and International Journal of Computer-Supported Collaborative Learning.

In The Last Decade

Co-authorship network of co-authors of Jin Mu i

Fields of papers citing papers by Jin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Mu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025