Kan Ren

19 papers and 624 indexed citations i.

About

Kan Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Kan Ren has authored 19 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Kan Ren’s work include Recommender Systems and Techniques (4 papers), Auction Theory and Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Kan Ren is often cited by papers focused on Recommender Systems and Techniques (4 papers), Auction Theory and Applications (4 papers) and Image Retrieval and Classification Techniques (3 papers). Kan Ren collaborates with scholars based in China, United Kingdom and United States. Kan Ren's co-authors include Yong Yu, Weinan Zhang, Han Cai, Jun Wang, Ying Wen, Yanru Qu, Jun Wang, Lantao Yu, Xiuqiang He and Ruiming Tang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Multimedia Tools and Applications and UCL Discovery (University College London).

In The Last Decade

Co-authorship network of co-authors of Kan Ren i

Fields of papers citing papers by Kan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kan Ren

Since Specialization
Citations

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