Deyu Meng

278 papers and 15.8k indexed citations i.

About

Deyu Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Deyu Meng has authored 278 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Computer Vision and Pattern Recognition, 70 papers in Artificial Intelligence and 70 papers in Media Technology. Recurrent topics in Deyu Meng’s work include Image and Signal Denoising Methods (62 papers), Advanced Image Fusion Techniques (46 papers) and Sparse and Compressive Sensing Techniques (43 papers). Deyu Meng is often cited by papers focused on Image and Signal Denoising Methods (62 papers), Advanced Image Fusion Techniques (46 papers) and Sparse and Compressive Sensing Techniques (43 papers). Deyu Meng collaborates with scholars based in China, Macao and Hong Kong. Deyu Meng's co-authors include Wangmeng Zuo, Lei Zhang, Kai Zhang, Yunjin Chen, Qian Zhao, Zongben Xu, Qi Xie, Xiangyong Cao, Chenqiang Gao and Alexander G. Hauptmann and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Methods.

In The Last Decade

Co-authorship network of co-authors of Deyu Meng i

Fields of papers citing papers by Deyu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Deyu Meng

Since Specialization
Citations

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