Dehua Chen

38 papers and 392 indexed citations i.

About

Dehua Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dehua Chen has authored 38 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dehua Chen’s work include Computational Fluid Dynamics and Aerodynamics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Dehua Chen is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Dehua Chen collaborates with scholars based in China, Taiwan and Ghana. Dehua Chen's co-authors include Miin‐Shen Yang, Wen‐Liang Hung, S. J. van Hal, Jianjia Wang, David L. Paterson, Michael C. Wehrhahn, Joanne Mercer, Iain B. Gosbell, Weimin Li and Yiwen Zhang and has published in prestigious journals such as Journal of Clinical Microbiology, Atmospheric Environment and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Dehua Chen i

Fields of papers citing papers by Dehua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dehua Chen

Since Specialization
Citations

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