Tao Ai

78 papers and 5.1k indexed citations
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About

Tao Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Tao Ai has authored 78 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Tao Ai’s work include Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (26 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Tao Ai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (26 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Tao Ai collaborates with scholars based in China, United States and Germany. Tao Ai's co-authors include Liming Xia, Qian Tao, Chenao Zhan, Zhenlu Yang, Chong Chen, Wenzhi Lv, Hongyan Hou, Ziyong Sun, Val M. Runge and F Goerner and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Tao Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Ai. A scholar is included among the top collaborators of Tao Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Ai. Tao Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Tao Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Ai

Since Specialization
Citations

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