Dahua Yu

About

Dahua Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Materials Chemistry. According to data from OpenAlex, Dahua Yu has authored 6 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 1 paper in Materials Chemistry. Recurrent topics in Dahua Yu’s work include COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Dahua Yu is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Dahua Yu collaborates with scholars based in China. Dahua Yu's co-authors include Xiaoqi Lu, Yu Gu, Ying Zhao, Baohua Zhang, Lidong Yang, Tao Zhou, Jiaqi Liu, Baohua Zhang, Guoguang Cheng and Wensheng Qiu and has published in prestigious journals such as PLoS ONE, Computers in Biology and Medicine and Metallurgical and Materials Transactions B.

In The Last Decade

Co-authorship network of co-authors of Dahua Yu i

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Fields of papers citing papers by Dahua Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dahua Yu

Since Specialization

Citations

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