Huimin Huang

42 papers and 1.6k indexed citations i.

About

Huimin Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Huimin Huang has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Huimin Huang’s work include Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (8 papers) and COVID-19 diagnosis using AI (5 papers). Huimin Huang is often cited by papers focused on Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (8 papers) and COVID-19 diagnosis using AI (5 papers). Huimin Huang collaborates with scholars based in China, Japan and United States. Huimin Huang's co-authors include Lanfen Lin, Ruofeng Tong, Yen‐Wei Chen, Yutaro Iwamoto, Xian‐Hua Han, Qiaowei Zhang, Hongjie Hu, Jian Wu, Elena R. Messina and James S. Albus and has published in prestigious journals such as The Science of The Total Environment, Chemosphere and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Huimin Huang i

Fields of papers citing papers by Huimin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Huimin Huang

Since Specialization
Citations

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