Le Liu

About

Le Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Le Liu has authored 17 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Le Liu’s work include Data Visualization and Analytics (3 papers), Advanced Malware Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Le Liu is often cited by papers focused on Data Visualization and Analytics (3 papers), Advanced Malware Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Le Liu collaborates with scholars based in China, United States and Japan. Le Liu's co-authors include Lace Padilla, Sarah H. Creem-Regehr, Donald H. House, Xiujuan Wang, Bin Wu, Kangfeng Zheng, Xianfeng Tang, Alexander P. Boone, Mary Hegarty and Cem Yuksel and has published in prestigious journals such as Optics Express, IEEE Access and Journal of Lightwave Technology.

In The Last Decade

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

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Fields of papers citing papers by Le Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Liu

Since Specialization

Citations

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