Jiangdian Song

36 papers and 1.2k indexed citations i.

About

Jiangdian Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Jiangdian Song has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Jiangdian Song’s work include Radiomics and Machine Learning in Medical Imaging (32 papers), Lung Cancer Diagnosis and Treatment (16 papers) and COVID-19 diagnosis using AI (10 papers). Jiangdian Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Lung Cancer Diagnosis and Treatment (16 papers) and COVID-19 diagnosis using AI (10 papers). Jiangdian Song collaborates with scholars based in China, United States and Hong Kong. Jiangdian Song's co-authors include Jie Tian, Di Dong, Zhenyu Liu, Mengjie Fang, Weimin Li, Liwen Zhang, Lei Cui, Zaiyi Liu, Zhaoyu Liu and Zhihui Chang and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Jiangdian Song i

Fields of papers citing papers by Jiangdian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiangdian Song

Since Specialization
Citations

This map shows the geographic impact of Jiangdian Song'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 Jiangdian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangdian Song 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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2025