Yang Song

93 papers and 1.1k indexed citations
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About

Yang Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yang Song has authored 93 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Yang Song’s work include Radiomics and Machine Learning in Medical Imaging (38 papers), MRI in cancer diagnosis (20 papers) and Glioma Diagnosis and Treatment (11 papers). Yang Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (38 papers), MRI in cancer diagnosis (20 papers) and Glioma Diagnosis and Treatment (11 papers). Yang Song collaborates with scholars based in China, United States and South Korea. Yang Song's co-authors include Guang Yang, Yu‐Dong Zhang, Xu Yan, Minxiong Zhou, Ying Hou, Kanghui Zhang, Ziqi Lv, Weidong Wang, Ye‐Feng Yao and Yida Wang and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Yang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Song. A scholar is included among the top collaborators of Yang Song 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 Yang Song. Yang Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Yang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Song

Since Specialization
Citations

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