Meiyun Wang

137 papers and 5.7k indexed citations i.

About

Meiyun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meiyun Wang has authored 137 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meiyun Wang’s work include Radiomics and Machine Learning in Medical Imaging (42 papers), Medical Imaging Techniques and Applications (27 papers) and MRI in cancer diagnosis (24 papers). Meiyun Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (42 papers), Medical Imaging Techniques and Applications (27 papers) and MRI in cancer diagnosis (24 papers). Meiyun Wang collaborates with scholars based in China, United States and Germany. Meiyun Wang's co-authors include Yan Bai, Fei Tian, Tao Wei, Lijuan Chen, Dong‐Yan Jin, Dapeng Shi, Jie Tian, Yusong Lin, Yaping Wu and Qingxia Wu and has published in prestigious journals such as JAMA, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Meiyun Wang i

Fields of papers citing papers by Meiyun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meiyun Wang

Since Specialization
Citations

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