Boxing Chen

55 papers and 567 indexed citations i.

About

Boxing Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Boxing Chen has authored 55 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Boxing Chen’s work include Natural Language Processing Techniques (48 papers), Topic Modeling (48 papers) and Multimodal Machine Learning Applications (14 papers). Boxing Chen is often cited by papers focused on Natural Language Processing Techniques (48 papers), Topic Modeling (48 papers) and Multimodal Machine Learning Applications (14 papers). Boxing Chen collaborates with scholars based in China, United States and Canada. Boxing Chen's co-authors include Colin Cherry, Roland Kühn, George Foster, Weihua Luo, Zhirui Zhang, Junliang Guo, Kai Fan, Baosong Yang, George Foster and Pei Zhang and has published in prestigious journals such as Computational Linguistics, IEEE/ACM Transactions on Audio Speech and Language Processing and National Research Council Canada (Government of Canada).

In The Last Decade

Co-authorship network of co-authors of Boxing Chen i

Fields of papers citing papers by Boxing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boxing Chen

Since Specialization
Citations

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