Di Wen

20 papers and 564 indexed citations i.

About

Di Wen is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Di Wen has authored 20 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Di Wen’s work include Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (6 papers) and Medical Imaging Techniques and Applications (5 papers). Di Wen is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (6 papers) and Medical Imaging Techniques and Applications (5 papers). Di Wen collaborates with scholars based in United States, China and Germany. Di Wen's co-authors include Hu Han, Anil K. Jain, Dingjun Chen, Hongxia Lv, Peng Gao, Jie Zhang, Xiaoqing Ding, Chi Fang, David L. Wilson and Bo Zhou and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Di Wen i

Fields of papers citing papers by Di Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Wen

Since Specialization
Citations

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