Yao Ai

25 papers and 297 indexed citations i.

About

Yao Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Yao Ai has authored 25 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Obstetrics and Gynecology. Recurrent topics in Yao Ai’s work include Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (7 papers) and Endometrial and Cervical Cancer Treatments (7 papers). Yao Ai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), MRI in cancer diagnosis (7 papers) and Endometrial and Cervical Cancer Treatments (7 papers). Yao Ai collaborates with scholars based in China. Yao Ai's co-authors include Xiance Jin, Congying Xie, Juebin Jin, Haiyan Zhu, Ji Zhang, Bin Chen, Ce Han, Yongqiang Zhou, Ji Zhang and Xiaomin Zheng and has published in prestigious journals such as Medical Physics, Radiotherapy and Oncology and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Yao Ai i

Fields of papers citing papers by Yao Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yao Ai

Since Specialization
Citations

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