Hyperlenses and metalenses for far-field super-resolution imaging
- Electronic, Optical and Magnetic Materials
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Authors
- Dylan LuZhaowei Liu
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms2176 →Countries where authors are citing Hyperlenses and metalenses for far-field super-resolution imaging
This map shows the geographic impact of Hyperlenses and metalenses for far-field super-resolution imaging. 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 Hyperlenses and metalenses for far-field super-resolution imaging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyperlenses and metalenses for far-field super-resolution imaging more than expected).
Fields of papers citing Hyperlenses and metalenses for far-field super-resolution imaging
This network shows the impact of Hyperlenses and metalenses for far-field super-resolution imaging. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Hyperlenses and metalenses for far-field super-resolution imaging.
About Hyperlenses and metalenses for far-field super-resolution imaging
This paper, published in 2012, received 470 indexed citations . Written by Dylan Lu and Zhaowei Liu covering the research area of Electronic, Optical and Magnetic Materials, Biomedical Engineering and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (310 citations), Biomedical Engineering (299 citations) and Atomic and Molecular Physics, and Optics (180 citations). Published in Nature Communications.
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/10.1038/ncomms2176.