Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics

783 indexed citations

Abstract

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About

This paper, published in 2017, received 783 indexed citations. Written by Joohee Kim, Minji Kim, Mi‐Sun Lee, Kukjoo Kim, Sangyoon Ji, Jihun Park, Kyungmin Na, Hong Kyun Kim, Franklin Bien and Chang Young Lee covering the research area of Electrical and Electronic Engineering, Biomedical Engineering and Human-Computer Interaction. It is primarily cited by scholars working on Biomedical Engineering (560 citations), Electrical and Electronic Engineering (330 citations) and Polymers and Plastics (149 citations). Published in Nature Communications.

Countries where authors are citing Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics

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Citations

This map shows the geographic impact of Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics. 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 Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics more than expected).

Fields of papers citing Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics.

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/ncomms14997.

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