Wei Song

139 papers and 3.1k indexed citations i.

About

Wei Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wei Song has authored 139 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 33 papers in Pulmonary and Respiratory Medicine and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wei Song’s work include Lung Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Lung Cancer Treatments and Mutations (12 papers). Wei Song is often cited by papers focused on Lung Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Lung Cancer Treatments and Mutations (12 papers). Wei Song collaborates with scholars based in China, United States and United Kingdom. Wei Song's co-authors include Danna B. Zimmer, Aimee Landar, Meili Liu, Yubo Fan, Shiying Miao, Zhengyu Jin, Xin Sui, Linfang Wang, Jia Yu and Lei Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Song

Since Specialization
Citations

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