Han Yuan

34 papers and 385 indexed citations i.

About

Han Yuan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Han Yuan has authored 34 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Han Yuan’s work include Machine Learning in Healthcare (9 papers), COVID-19 diagnosis using AI (3 papers) and Electronic Health Records Systems (2 papers). Han Yuan is often cited by papers focused on Machine Learning in Healthcare (9 papers), COVID-19 diagnosis using AI (3 papers) and Electronic Health Records Systems (2 papers). Han Yuan collaborates with scholars based in China, Singapore and United States. Han Yuan's co-authors include Shahid Mumtaz, Keping Yu, Liang Zhao, Bibhas Chakraborty, Nan Liu, Christina Leslie, Feng Xie, Marcus Eng Hock Ong, Yilin Ning and Álvaro González and has published in prestigious journals such as Scientific Reports, Automatica and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Han Yuan i

Fields of papers citing papers by Han Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Yuan

Since Specialization
Citations

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