Ruobing Huang

21 papers and 221 indexed citations i.

About

Ruobing Huang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ruobing Huang has authored 21 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ruobing Huang’s work include AI in cancer detection (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Ruobing Huang is often cited by papers focused on AI in cancer detection (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Ruobing Huang collaborates with scholars based in China, United Kingdom and Hong Kong. Ruobing Huang's co-authors include J. Alison Noble, Dong Ni, Weidi Xie, Xin Yang, Zehui Lin, Haoran Dou, Yijie Dong, Wenwen Xu, Jianqiao Zhou and Zihan Mei and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

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

Fields of papers citing papers by Ruobing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruobing Huang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025