Chén Mĭn

11 papers and 240 indexed citations i.

About

Chén Mĭn is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Information Systems and Management. According to data from OpenAlex, Chén Mĭn has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 3 papers in Information Systems and Management. Recurrent topics in Chén Mĭn’s work include Data Visualization and Analytics (3 papers), Video Analysis and Summarization (2 papers) and Recommender Systems and Techniques (2 papers). Chén Mĭn is often cited by papers focused on Data Visualization and Analytics (3 papers), Video Analysis and Summarization (2 papers) and Recommender Systems and Techniques (2 papers). Chén Mĭn collaborates with scholars based in United States, United Kingdom and China. Chén Mĭn's co-authors include Hongpeng Yin, Young U. Ryu, Luciano Floridi, Suresh Radhakrishnan, Varghese S. Jacob, Philippe Rocca‐Serra, Jim Davies, Susanna‐Assunta Sansone, Eamonn Maguire and Ross Maciejewski and has published in prestigious journals such as Information Systems Research, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Chén Mĭn i

Fields of papers citing papers by Chén Mĭn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chén Mĭn

Since Specialization
Citations

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