Yang Ai

26 papers and 400 indexed citations i.

About

Yang Ai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yang Ai has authored 26 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yang Ai’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and AI in cancer detection (4 papers). Yang Ai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and AI in cancer detection (4 papers). Yang Ai collaborates with scholars based in China, Japan and United Kingdom. Yang Ai's co-authors include Jing Liu, Jixin Ma, Uzair Aslam Bhatti, Jingbing Li, Zhen-Hua Ling, Jingbing Li, Chuanglong He, Xiaojun Zhou, Kun Zhang and Mengxing Huang and has published in prestigious journals such as Annals of Oncology, Contributions to Mineralogy and Petrology and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Yang Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Ai

Since Specialization
Citations

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