Pan Huang

76 papers and 1.4k indexed citations i.

About

Pan Huang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Pan Huang has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Physiology. Recurrent topics in Pan Huang’s work include AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Nutrition and Health in Aging (6 papers). Pan Huang is often cited by papers focused on AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Nutrition and Health in Aging (6 papers). Pan Huang collaborates with scholars based in China, Italy and Hong Kong. Pan Huang's co-authors include Jianghua Zhou, Jiang Wang, Antonella Santone, Francesco Mercaldo, Sukun Tian, Xiaoli Zhou, Jiping Li, Peng Feng, Xiaoming Zhang and Yingchun Zeng and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Transactions on Medical Imaging and Journal of Affective Disorders.

In The Last Decade

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

Fields of papers citing papers by Pan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pan Huang

Since Specialization
Citations

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