Pu Huang

26 papers and 352 indexed citations i.

About

Pu Huang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Pu Huang has authored 26 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Pu Huang’s work include AI in cancer detection (6 papers), Advanced Radiotherapy Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Pu Huang is often cited by papers focused on AI in cancer detection (6 papers), Advanced Radiotherapy Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Pu Huang collaborates with scholars based in China, United States and Australia. Pu Huang's co-authors include Dengwang Li, Min Chen, Hua Zhang, Zekun Jiang, Cong Liu, Xiangfei Chai, Jie Li, Hui Zhu, Jianbo Wang and Meirong Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Co-authorship network of co-authors of Pu Huang i

Fields of papers citing papers by Pu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pu Huang

Since Specialization
Citations

This map shows the geographic impact of Pu Huang'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 Pu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Huang 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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2026