Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
In The Last Decade
doi.org/w61862505 →Countries where authors are citing Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
This map shows the geographic impact of Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. 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 Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization more than expected).
Fields of papers citing Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
This network shows the impact of Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization.
About Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
This paper, published in 2013, received 747 indexed citations . Written by Weisheng Dong, Lei Zhang and Guangming Shi covering the research area of Media Technology and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (688 citations), Media Technology (422 citations) and Computational Mechanics (171 citations).
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.
This paper is also available at doi.org/w61862505.