Sunyi Zheng

About

Sunyi Zheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Sunyi Zheng has authored 23 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Sunyi Zheng’s work include Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (7 papers). Sunyi Zheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (7 papers). Sunyi Zheng collaborates with scholars based in China, The Netherlands and United States. Sunyi Zheng's co-authors include Matthijs Oudkerk, Peter M. A. van Ooijen, Xiaonan Cui, Raymond Veldhuis, Monique D. Dorrius, Xueping Jing, L. J. Cornelissen, Jiapan Guo, Zhaoxiang Ye and Geertruida H. de Bock and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Co-authorship network of co-authors of Sunyi Zheng i

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Fields of papers citing papers by Sunyi Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sunyi Zheng

Since Specialization

Citations

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