Can Liu

43 papers and 344 indexed citations i.

About

Can Liu is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Liu has authored 43 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Human-Computer Interaction and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Liu’s work include Speech and dialogue systems (6 papers), Topic Modeling (6 papers) and Interactive and Immersive Displays (5 papers). Can Liu is often cited by papers focused on Speech and dialogue systems (6 papers), Topic Modeling (6 papers) and Interactive and Immersive Displays (5 papers). Can Liu collaborates with scholars based in China, United States and Hong Kong. Can Liu's co-authors include Lei Wang, Pinhua Li, Lei Zhang, Min Wang, Jin Yang, Silvio Savarese, Roberto Martín-Martín, Sandra Kübler, Claudia Pérez-D’Arpino and Bin Li and has published in prestigious journals such as International Journal of Molecular Sciences, Aquaculture and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Can Liu i

Fields of papers citing papers by Can Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Liu

Since Specialization
Citations

This map shows the geographic impact of Can Liu'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 Can Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Liu 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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2025