Xingde Dai

12 papers and 294 indexed citations i.

About

Xingde Dai is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Xingde Dai has authored 12 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Applied Mathematics and 3 papers in Computational Mechanics. Recurrent topics in Xingde Dai’s work include Image and Signal Denoising Methods (9 papers), Mathematical Analysis and Transform Methods (7 papers) and Sparse and Compressive Sensing Techniques (3 papers). Xingde Dai is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Mathematical Analysis and Transform Methods (7 papers) and Sparse and Compressive Sensing Techniques (3 papers). Xingde Dai collaborates with scholars based in United States and China. Xingde Dai's co-authors include David R. Larson, Darrin Speegle, Yuanan Diao, Qing Gu, Zhongyan Li, Jianguo Xin, Wei Huang and Qing Gu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Functional Analysis and Proceedings of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Xingde Dai i

Fields of papers citing papers by Xingde Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingde Dai

Since Specialization
Citations

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