Beibei Liu

About

Beibei Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Beibei Liu has authored 17 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Beibei Liu’s work include Digital Media Forensic Detection (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Beibei Liu is often cited by papers focused on Digital Media Forensic Detection (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Beibei Liu collaborates with scholars based in China, Australia and Israel. Beibei Liu's co-authors include Yuting Ye, Shangchen Han, Christopher D. Twigg, Yongjian Hu, Robert Wang, Kenrick Kin, Gang Dong, Robert Wang, Chengde Wan and Zheng Wang and has published in prestigious journals such as IEEE Access, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

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

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Fields of papers citing papers by Beibei Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beibei Liu

Since Specialization

Citations

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