Boxi Wu

36 papers and 278 indexed citations i.

About

Boxi Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Condensed Matter Physics. According to data from OpenAlex, Boxi Wu has authored 36 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Condensed Matter Physics. Recurrent topics in Boxi Wu’s work include Neural Networks and Applications (12 papers), Advanced Neural Network Applications (6 papers) and GaN-based semiconductor devices and materials (5 papers). Boxi Wu is often cited by papers focused on Neural Networks and Applications (12 papers), Advanced Neural Network Applications (6 papers) and GaN-based semiconductor devices and materials (5 papers). Boxi Wu collaborates with scholars based in China, Hong Kong and United States. Boxi Wu's co-authors include Xiaofei He, Binbin Lin, Long Chen, Wei Chen, Wei Liu, Jianwei Shuai, Wenxiao Wang, Haifeng Liu, Minghao Chen and Ke Li and has published in prestigious journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Boxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boxi Wu

Since Specialization
Citations

This map shows the geographic impact of Boxi 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 Boxi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxi 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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2025