Hao Guan

20 papers and 328 indexed citations i.

About

Hao Guan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Hao Guan has authored 20 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Hao Guan’s work include Domain Adaptation and Few-Shot Learning (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neonatal and fetal brain pathology (2 papers). Hao Guan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Neonatal and fetal brain pathology (2 papers). Hao Guan collaborates with scholars based in United States and China. Hao Guan's co-authors include Mingxia Liu, Mingxia Liu, Pew‐Thian Yap, Patricia F. Maness, Andrea Bozoki, Erkun Yang, Yunbi Liu, Dinggang Shen, Rong Zheng and R Shen and has published in prestigious journals such as NeuroImage, Cerebral Cortex and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Hao Guan i

Fields of papers citing papers by Hao Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Guan

Since Specialization
Citations

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