Dahua Gao

31 papers and 325 indexed citations i.

About

Dahua Gao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Dahua Gao has authored 31 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 11 papers in Media Technology. Recurrent topics in Dahua Gao’s work include Image and Signal Denoising Methods (13 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Image Fusion Techniques (8 papers). Dahua Gao is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Image Fusion Techniques (8 papers). Dahua Gao collaborates with scholars based in China, Canada and United States. Dahua Gao's co-authors include Guangming Shi, Lizhi Wang, Zhiwei Xiong, Feng Wu, Danhua Liu, Feng Wu, Wenjun Zeng, Xiaolin Wu, Zhongqiang Zhang and Xuemei Xie and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Co-authorship network of co-authors of Dahua Gao i

Fields of papers citing papers by Dahua Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dahua Gao

Since Specialization
Citations

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