Dijia Wu

50 total papers · 1.7k total citations
24 papers, 835 citations indexed

About

Dijia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dijia Wu has authored 24 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dijia Wu’s work include Advanced X-ray and CT Imaging (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Dijia Wu is often cited by papers focused on Advanced X-ray and CT Imaging (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Dijia Wu collaborates with scholars based in China, United States and Germany. Dijia Wu's co-authors include Dinggang Shen, Feng Shi, Liming Xia, Huan Yuan, Fuhua Yan, He Sui, Zhanhao Mo, Bin Song, Zhongxiang Ding and Ying Wei and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Dijia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dijia Wu. A scholar is included among the top collaborators of Dijia Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dijia Wu. Dijia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Dijia Wu

23 papers receiving 819 citations

Fields of papers citing papers by Dijia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dijia Wu

Since Specialization
Citations

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