Dan Guo

81 papers and 1.0k indexed citations i.

About

Dan Guo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Dan Guo has authored 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Electrical and Electronic Engineering and 8 papers in Molecular Biology. Recurrent topics in Dan Guo’s work include Radiomics and Machine Learning in Medical Imaging (7 papers), Muscle activation and electromyography studies (5 papers) and Fluid Dynamics and Mixing (4 papers). Dan Guo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Muscle activation and electromyography studies (5 papers) and Fluid Dynamics and Mixing (4 papers). Dan Guo collaborates with scholars based in China, Hong Kong and Canada. Dan Guo's co-authors include Jiang Bian, Xuewen Cao, Wen Yang, M. Charles Liberman, Sharon G. Kujawa, Katharine Fernandez, Victor De Gruttola, Yong-kuo Liu, Bo Yang and Hong Xia and has published in prestigious journals such as Chemical Communications, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Dan Guo i

Fields of papers citing papers by Dan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Guo

Since Specialization
Citations

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