Xiaoxia Wu

About

Xiaoxia Wu is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Xiaoxia Wu has authored 7 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Mechanics and 2 papers in Statistics and Probability. Recurrent topics in Xiaoxia Wu’s work include Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Xiaoxia Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Xiaoxia Wu collaborates with scholars based in United States, China and United Kingdom. Xiaoxia Wu's co-authors include Rachel Ward, Léon Bottou, Behnam Neyshabur, Sujay Sanghavi, Ethan Dyer and Simon S. Du and has published in prestigious journals such as Journal of Machine Learning Research, Electronics Letters and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Xiaoxia Wu i

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Fields of papers citing papers by Xiaoxia Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaoxia Wu

Since Specialization

Citations

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