Kan Li

40 papers and 401 indexed citations i.

About

Kan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kan Li has authored 40 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Kan Li’s work include Neural Networks and Applications (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Speech and Audio Processing (4 papers). Kan Li is often cited by papers focused on Neural Networks and Applications (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Speech and Audio Processing (4 papers). Kan Li collaborates with scholars based in China, United States and Australia. Kan Li's co-authors include Xiao–Ping Zhang, José C. Prı́ncipe, Haiquan Zhao, Lu Lu, Badong Chen, Xinge You, Jianxing Zhang, Samuel A. Neymotin, Junxing Zhao and Wenzhong Liu and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Kan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kan Li

Since Specialization
Citations

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