Di Dong

183 papers and 8.5k indexed citations i.

About

Di Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Di Dong has authored 183 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Radiology, Nuclear Medicine and Imaging, 83 papers in Pulmonary and Respiratory Medicine and 37 papers in Biomedical Engineering. Recurrent topics in Di Dong’s work include Radiomics and Machine Learning in Medical Imaging (125 papers), Lung Cancer Diagnosis and Treatment (35 papers) and Gastric Cancer Management and Outcomes (32 papers). Di Dong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (125 papers), Lung Cancer Diagnosis and Treatment (35 papers) and Gastric Cancer Management and Outcomes (32 papers). Di Dong collaborates with scholars based in China, United States and Greece. Di Dong's co-authors include Jie Tian, Mengjie Fang, Zhenyu Liu, Yali Zang, Mu Zhou, Zaiyi Liu, Xiaoke Ma, Jingwei Wei, Yongbei Zhu and Dongsheng Gu and has published in prestigious journals such as Biomaterials, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Di Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Dong

Since Specialization
Citations

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