Zhuming Ai

28 papers and 327 indexed citations i.

About

Zhuming Ai is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Zhuming Ai has authored 28 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Zhuming Ai’s work include Augmented Reality Applications (8 papers), Anatomy and Medical Technology (5 papers) and Surgical Simulation and Training (5 papers). Zhuming Ai is often cited by papers focused on Augmented Reality Applications (8 papers), Anatomy and Medical Technology (5 papers) and Surgical Simulation and Training (5 papers). Zhuming Ai collaborates with scholars based in United States, Israel and China. Zhuming Ai's co-authors include Mark Livingston, Mary Lou Rasmussen, Robert Folberg, J. Edward Swan, H. S. Smallman, Fred Dech, Andrew J. Maniotis, Jonathan C. Silverstein, Herand Abcarian and Marcia Edison and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Diseases of the Colon & Rectum and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

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

Fields of papers citing papers by Zhuming Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhuming Ai

Since Specialization
Citations

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