Xuejun Liao

50 papers and 1.3k indexed citations i.

About

Xuejun Liao is a scholar working on Artificial Intelligence, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Xuejun Liao has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 11 papers in Computational Mechanics and 8 papers in Biomedical Engineering. Recurrent topics in Xuejun Liao’s work include Sparse and Compressive Sensing Techniques (11 papers), Machine Learning and Algorithms (11 papers) and Reinforcement Learning in Robotics (8 papers). Xuejun Liao is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Machine Learning and Algorithms (11 papers) and Reinforcement Learning in Robotics (8 papers). Xuejun Liao collaborates with scholars based in United States, China and Germany. Xuejun Liao's co-authors include Lawrence Carin, David J. Brady, Patrick Llull, Xin Yuan, Guillermo Sapiro, Jianbo Yang, Hui Li, David Kittle, P. Runkle and Jianbo Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Xuejun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xuejun Liao

Since Specialization
Citations

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