Metasurface Micro/Nano-Optical Sensors: Principles and Applications
- Journal
- ACS Nano
In The Last Decade
doi.org/10.1021/acsnano.2c03310 →Countries where authors are citing Metasurface Micro/Nano-Optical Sensors: Principles and Applications
This map shows the geographic impact of Metasurface Micro/Nano-Optical Sensors: Principles and Applications. 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 Metasurface Micro/Nano-Optical Sensors: Principles and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Metasurface Micro/Nano-Optical Sensors: Principles and Applications more than expected).
Fields of papers citing Metasurface Micro/Nano-Optical Sensors: Principles and Applications
This network shows the impact of Metasurface Micro/Nano-Optical Sensors: Principles and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Metasurface Micro/Nano-Optical Sensors: Principles and Applications.
About Metasurface Micro/Nano-Optical Sensors: Principles and Applications
This paper, published in 2022, received 214 indexed citations . Written by Jin Qin, Shibin Jiang, Zhanshan Wang, Xinbin Cheng, Baojun Li, Yuzhi Shi, Din Ping Tsai, A. Q. Liu, Wei Huang and Weiming Zhu covering the research area of Molecular Biology, Electronic, Optical and Magnetic Materials and Biomedical Engineering. It is primarily cited by scholars working on Electronic, Optical and Magnetic Materials (118 citations), Biomedical Engineering (117 citations) and Electrical and Electronic Engineering (88 citations). Published in ACS Nano.
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/10.1021/acsnano.2c03310.