Boxun Li

13 papers and 325 indexed citations i.

About

Boxun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Boxun Li has authored 13 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Boxun Li’s work include Advanced Neural Network Applications (6 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Boxun Li is often cited by papers focused on Advanced Neural Network Applications (6 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Boxun Li collaborates with scholars based in China, United States and India. Boxun Li's co-authors include Yu Wang, Huizi Mao, Chi Zhang, Junqi Liu, Song Yao, Yu Zhao, Qian Wu, Yichen Wei, Jian Sun and Yue Hu and has published in prestigious journals such as Optics Express, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Complexity.

In The Last Decade

Co-authorship network of co-authors of Boxun Li i

Fields of papers citing papers by Boxun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boxun Li

Since Specialization
Citations

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