Yading Yuan

35 papers and 943 indexed citations i.

About

Yading Yuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yading Yuan has authored 35 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yading Yuan’s work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (13 papers) and Advanced Radiotherapy Techniques (9 papers). Yading Yuan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (13 papers) and Advanced Radiotherapy Techniques (9 papers). Yading Yuan collaborates with scholars based in United States, China and Hong Kong. Yading Yuan's co-authors include Yeh‐Chi Lo, Ming Chao, Maryellen L. Giger, Hui Li, Neha Bhooshan, Charlene A. Sennett, Andrew R. Jamieson, Karen Drukker, Kenji Suzuki and Sanaz A. Jansen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Yading Yuan i

Fields of papers citing papers by Yading Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yading Yuan

Since Specialization
Citations

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