Yujun Liao

About

Yujun Liao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Yujun Liao has authored 5 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Yujun Liao’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Yujun Liao is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Yujun Liao collaborates with scholars based in China, Italy and United Kingdom. Yujun Liao's co-authors include Yan Wu, Yujian Mo, Feilin Liu, Xinneng Yang, Antonio D’Innocente, Fabio Maria Carlucci, Barbara Caputo, Silvia Bucci, Tatiana Tommasi and Junqiao Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Pattern Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Yujun Liao i

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Fields of papers citing papers by Yujun Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yujun Liao

Since Specialization

Citations

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