Shuai Huang

46 papers and 265 indexed citations i.

About

Shuai Huang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shuai Huang has authored 46 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuai Huang’s work include Sparse and Compressive Sensing Techniques (12 papers), Medical Imaging Techniques and Applications (7 papers) and Image and Signal Denoising Methods (4 papers). Shuai Huang is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Medical Imaging Techniques and Applications (7 papers) and Image and Signal Denoising Methods (4 papers). Shuai Huang collaborates with scholars based in China, United States and Germany. Shuai Huang's co-authors include Trac D. Tran, Ivan Dokmanić, Lihua Zhang, Dingkang Yang, Zhizhen Zhao, Deqiang Qiu, Yazhuo Liu, Dũng Trần, Diego A. Martínez and Peter J. Fabri and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and IEEE Transactions on Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Shuai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuai Huang

Since Specialization
Citations

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