Leo Ai

15 total papers · 1.3k total citations
10 papers, 810 citations indexed

About

Leo Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Leo Ai has authored 10 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Leo Ai’s work include Ultrasound and Hyperthermia Applications (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers) and Ultrasound Imaging and Elastography (4 papers). Leo Ai is often cited by papers focused on Ultrasound and Hyperthermia Applications (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers) and Ultrasound Imaging and Elastography (4 papers). Leo Ai collaborates with scholars based in United States and China. Leo Ai's co-authors include Jerel K. Mueller, Wynn Legon, Priya Bansal, Roman Tyshynsky, Andrea Grant, Yiğitcan Eryaman, Jinhu Xiong, Gregg Meekins, Parantap Patel and Bernadette T. Gillick and has published in prestigious journals such as Scientific Reports, Human Brain Mapping and Journal of Neural Engineering.

Co-authorship network of co-authors of Leo Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Ai. A scholar is included among the top collaborators of Leo 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 Leo Ai. Leo Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Leo Ai

10 papers receiving 802 citations

Fields of papers citing papers by Leo Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leo Ai

Since Specialization
Citations

This map shows the geographic impact of Leo 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 Leo Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo 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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2026