Min Fan

About

Min Fan is a scholar working on Information Systems, Education and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Fan has authored 24 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Education and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Fan’s work include Child Development and Digital Technology (3 papers), Translation Studies and Practices (3 papers) and Innovative Human-Technology Interaction (2 papers). Min Fan is often cited by papers focused on Child Development and Digital Technology (3 papers), Translation Studies and Practices (3 papers) and Innovative Human-Technology Interaction (2 papers). Min Fan collaborates with scholars based in China, Canada and Hong Kong. Min Fan's co-authors include Alissa N. Antle, Carman Neustaedter, Alyssa Friend Wise, Maureen Hoskyn, Xin Gou, Jianzhi Zhang, Gang Chen, Yi Tang, Yunjie Li and Qin Yang and has published in prestigious journals such as Marine Pollution Bulletin, Forest Ecology and Management and Environmental Science and Pollution Research.

In The Last Decade

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

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Fields of papers citing papers by Min Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Fan

Since Specialization

Citations

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