Yunfei Zha

About

Yunfei Zha is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Yunfei Zha has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Yunfei Zha’s work include Radiomics and Machine Learning in Medical Imaging (23 papers), COVID-19 diagnosis using AI (15 papers) and Advanced MRI Techniques and Applications (8 papers). Yunfei Zha is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), COVID-19 diagnosis using AI (15 papers) and Advanced MRI Techniques and Applications (8 papers). Yunfei Zha collaborates with scholars based in China, United States and Hong Kong. Yunfei Zha's co-authors include Liang Li, Huiying Zhao, Ying Song, Yutian Chong, Xiang Zhang, Yuedong Yang, Jun Shen, Ziwang Huang, Jianwen Chen and Xiaodong Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Co-authorship network of co-authors of Yunfei Zha i

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Fields of papers citing papers by Yunfei Zha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunfei Zha

Since Specialization

Citations

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