Shiliang Ai

6 papers and 294 indexed citations i.

About

Shiliang Ai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shiliang Ai has authored 6 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shiliang Ai’s work include AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shiliang Ai is often cited by papers focused on AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shiliang Ai collaborates with scholars based in China, United States and Germany. Shiliang Ai's co-authors include Chen Li, Changhao Sun, Md Mamunur Rahaman, Marcin Grzegorzek, Xiaoyan Li, Yixin Li, Weiming Hu, Ge Wang, Wanli Liu and Haoyuan Chen and has published in prestigious journals such as IEEE Access, Pattern Recognition and BioMed Research International.

In The Last Decade

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

Fields of papers citing papers by Shiliang Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shiliang Ai

Since Specialization
Citations

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