James Lien

About

James Lien is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, James Lien has authored 2 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in James Lien’s work include Face Recognition and Perception (1 paper), Advanced Data Compression Techniques (1 paper) and Face recognition and analysis (1 paper). James Lien is often cited by papers focused on Face Recognition and Perception (1 paper), Advanced Data Compression Techniques (1 paper) and Face recognition and analysis (1 paper). James Lien collaborates with scholars based in United States. James Lien's co-authors include Takeo Kanade, Jeffrey F. Cohn and Adena J. Zlochower and has published in prestigious journals such as Psychophysiology and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of James Lien i

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Fields of papers citing papers by James Lien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Lien

Since Specialization

Citations

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